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Topology and Spectrum in Measurement-Induced Phase Transitions

Hisanori Oshima Department of Applied Physics, University of Tokyo, Tokyo 113-8656, Japan Nonequilibrium Quantum Statistical Mechanics RIKEN Hakubi Research Team, RIKEN CPR, Wako, Saitama 351-0198, Japan    Ken Mochizuki Department of Applied Physics, University of Tokyo, Tokyo 113-8656, Japan Nonequilibrium Quantum Statistical Mechanics RIKEN Hakubi Research Team, RIKEN CPR, Wako, Saitama 351-0198, Japan    Ryusuke Hamazaki Nonequilibrium Quantum Statistical Mechanics RIKEN Hakubi Research Team, RIKEN CPR, Wako, Saitama 351-0198, Japan RIKEN iTHEMS, Wako, Saitama 351-0198, Japan    Yohei Fuji Department of Applied Physics, University of Tokyo, Tokyo 113-8656, Japan
Abstract

Competition among repetitive measurements of noncommuting observables and unitary dynamics can give rise to a rich variety of entanglement phases. We here characterize topological phases in monitored quantum systems by their spectrum and many-body topological invariants. We analyze (1+1)-dimensional monitored circuits for Majorana fermions, which have topological and trivial area-law entangled phases and a critical phase with sub-volume-law entanglement, through the Lyapunov spectrum. We uncover the presence (absence) of edge-localized zero modes inside the bulk gap in the topological (trivial) area-law phase and a bulk gapless spectrum in the critical phase. Furthermore, by suitably exploiting the fermion parity with twisted measurement outcomes at the boundary, we construct a topological invariant that sharply distinguishes the two area-law phases and dynamically characterizes the critical phase. Our work thus paves the way to extend the bulk-edge correspondence for topological phases from equilibrium to monitored quantum dynamics.

Introduction.–

Topology is undoubtedly one of the most essential concepts in understanding stable phases of matter [1]. For ground states of local Hamiltonians with a finite excitation gap, states belonging to distinct topological phases cannot be smoothly deformed to each other without closing the gap, owing to discrete characters of their topological invariants [2]. In particular, for symmetry-protected topological phases [3, 4, 5, 6, 7, 8], nontrivial topology of the bulk leads to gapless boundary states robust against any symmetry-preserving perturbations. This phenomenon, known as the bulk-edge correspondence, has remarkable consequences in physical properties of the topological phases and has been intensively studied in the past few decades [9, 10, 11, 12, 13].

Despite notable successes in equilibrium systems, topology in out-of-equilibrium systems caused by external environment has yet to be fully understood. In particular, it is still elusive how the topology plays a role in monitored quantum systems, which gather a recent extensive interest as they host novel non-equilibrium phases concerning, e.g., entanglement [14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25]. Indeed, repetitive measurements stabilizing distinct topological phases can lead to phase transitions between different entanglement phases, which can be probed by topological entanglement entropy or purification dynamics [26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42] (see also [43, 44, 45]). However, intrinsic spatiotemporal randomness caused by the probabilistic nature of measurement outcomes makes it difficult to generalize more standard notions of topological phases, such as bulk topological invariants and gapless edge modes, to monitored systems.

Refer to caption
Figure 1: (a) Monitored quantum circuit for Majorana fermions. In each time step, after unitary time evolution generated by ^Kitaev\hat{\mathcal{H}}_{\mathrm{Kitaev}} in Eq. (1), we weakly measure the Majoranas in the brickwork manner with Kraus operators (2). (b) Bulk topological invariant χ\chi for the monitored system, obtained from the fermion parities PPBC/APBCP^{\mathrm{PBC}/\mathrm{APBC}} for circuits under PBC/APBC. The APBC involves the boundary measurement operators with twisted outcomes for the PBC. (c) The measurement-induced phases characterized by the Lyapunov gap, existence of the edge mode, and our topological invariant. The topological (trivial) gapped phase exhibits the presence (absence) of edge mode and χ=1\chi=-1 (χ=+1\chi=+1). The gapless critical phase is characterized by the dynamical behavior of χ\chi.

In this Letter, we discover gapless edge modes and a bulk topological invariant that characterize measurement-induced phase transitions of monitored Majorana circuits and discuss their bulk-edge correspondence. Introducing effective Hamiltonians obtained through the Lyapunov analysis, we reveal the presence (absence) of edge-localized zero modes inside the bulk gap in the topological (trivial) area-law phase. We also construct a bulk topological invariant based on the fermion parity, extending the method in equilibrium systems to the monitored setting; this is accomplished by introducing a unique boundary condition with twisted measurement outcomes. The invariant sharply distinguishes these gapped area-law phases, featuring the bulk-edge correspondence. Moreover, we show that the critical entanglement phase corresponds to a gapless phase concerning the Lyapunov spectrum. While the bulk-edge correspondence is obscured in this phase, we demonstrate that the topological invariant can still dynamically characterize the two gapped and gapless phases. Our result is summarized in Fig. 1.

Model and Lyapunov analysis.–

We consider a (1+1)(1+1)-dimensional quantum circuit acting on 2L2L Majorana fermions [see Fig. 1(a)], consisting of repeated applications of three elementary steps: (i) unitary time evolution 𝒰^\hat{\mathcal{U}}, (ii) measurements of all Majorana pairs on odd bonds, and (iii) measurements of all Majorana pairs on even bonds. These operations update |ψt\ket{\psi_{t}} to |ψt+1\ket{\psi_{t+1}} in a single time step. To be more precise, the unitary evolution is given by the Kitaev chain Hamiltonian, 𝒰^=ei^Kitaev\hat{\mathcal{U}}=e^{-i\hat{\mathcal{H}}_{\mathrm{Kitaev}}}, with

^Kitaev=iJ=12L1γγ+1+iJγ2Lγ1,\displaystyle\hat{\mathcal{H}}_{\mathrm{Kitaev}}=iJ\sum_{\ell=1}^{2L-1}\gamma_{\ell}\gamma_{\ell+1}+iJ^{\prime}\gamma_{2L}\gamma_{1}, (1)

where γ\gamma_{\ell} are Majorana fermions obeying {γ,γ}=2δ\{\gamma_{\ell},\gamma_{\ell^{\prime}}\}=2\delta_{\ell\ell^{\prime}} and J,JJ,J^{\prime} are real constants. The measurements of Majorana pairs on odd/even bonds with an outcome s=±1s=\pm 1 are described by the Kraus operators,

𝒦^jo(s)=eisθoγ2j1γ2j2cosh(2θo),𝒦^je(s)=eisθeγ2jγ2j+12cosh(2θe).\displaystyle\hat{\mathcal{K}}^{o}_{j}(s)=\frac{e^{-is\theta_{o}\gamma_{2j-1}\gamma_{2j}}}{\sqrt{2\cosh(2\theta_{o})}},\quad\hat{\mathcal{K}}^{e}_{j}(s)=\frac{e^{-is\theta_{e}\gamma_{2j}\gamma_{2j+1}}}{\sqrt{2\cosh(2\theta_{e})}}. (2)

which are weak measurements of the strength θe/o=tanh1(μe/o)\theta_{e/o}=\tanh^{-1}(\mu_{e/o}). We set μe=1μo\mu_{e}=1-\mu_{o} hereafter. Given a (unnormalized) state |ψ\ket{\psi}, each outcome ss is obtained with the Born probability, pje/o(s)=ψ|𝒦^je/o(s)𝒦^je/o(s)|ψ/ψ|ψ.p^{e/o}_{j}(s)=\bra{\psi}\hat{\mathcal{K}}_{j}^{e/o}(s)^{\dagger}\hat{\mathcal{K}}_{j}^{e/o}(s)\ket{\psi}/{\langle\psi|\psi\rangle}. In the following, we use three boundary conditions: open (OBC), periodic (PBC), and antiperiodic (APBC). For the unitary evolution 𝒰^\hat{\mathcal{U}}, the boundary condition is simply specified by JJ^{\prime}: J=0,J,J^{\prime}=0,J, and J-J for the OBC, PBC, and APBC, respectively. For the measurements, the OBC means that we discard 𝒦^Le(s)\hat{\mathcal{K}}^{e}_{L}(s) from the circuit, while we need a careful definition of the APBC, as explained later.

At the time t=Tt=T, an initial state |ψ0\ket{\psi_{0}} is evolved by the Kraus operator labeled by a sequence of outcomes 𝒔={𝒔1,,𝒔T}\bm{s}=\{\bm{s}_{1},\cdots,\bm{s}_{T}\} with 𝒔t={s1,t,,s2L,t}\bm{s}_{t}=\{s_{1,t},\cdots,s_{2L,t}\},

𝒦^T(𝒔)=t=1T((j𝒦^je(s2j,t))(j𝒦^jo(s2j1,t))𝒰^).\displaystyle\hat{\mathcal{K}}_{T}(\bm{s})=\prod_{t=1}^{T}\left(\left(\prod_{j}\hat{\mathcal{K}}_{j}^{e}(s_{2j,t})\right)\left(\prod_{j}\hat{\mathcal{K}}_{j}^{o}(s_{2j-1,t})\right)\hat{\mathcal{U}}\right). (3)

Since both unitary evolution and measurements are bilinear in Majorana fermions, this circuit maps a fermionic Gaussian state to another Gaussian state [46, 47, 48, 49, 50, 51, 52]. A fermionic Gaussian state is completely characterized by the Majorana covariance matrix Γt\Gamma_{t} whose element reads (Γt)=(i/2)ψt|[γ,γ]|ψt/ψt|ψt(\Gamma_{t})_{\ell\ell^{\prime}}=(i/2)\bra{\psi_{t}}[\gamma_{\ell},\gamma_{\ell^{\prime}}]\ket{\psi_{t}}/\langle\psi_{t}|\psi_{t}\rangle. Time evolution of the (unnormalized) Gaussian state is encoded in the transformation of the Majorana fermions, γ𝒦^T(𝒔)γ(𝒦^T(𝒔))1=KT(𝒔)γ\vec{\gamma}\to\hat{\mathcal{K}}_{T}^{\dagger}(\bm{s})\vec{\gamma}(\hat{\mathcal{K}}_{T}^{\dagger}(\bm{s}))^{-1}=K_{T}(\bm{s})\vec{\gamma}, where

KT(𝒔)=t=1T(eiΘe(𝒔t)eiΘo(𝒔t)eHKitaev).\displaystyle K_{T}(\bm{s})=\prod_{t=1}^{T}\left(e^{-i\Theta^{e}(\bm{s}_{t})}e^{-i\Theta^{o}(\bm{s}_{t})}e^{H_{\mathrm{Kitaev}}}\right). (4)

Here, HKitaevH_{\mathrm{Kitaev}} and Θe/o(𝒔t)\Theta^{e/o}(\bm{s}_{t}) are real antisymmetric matrices defined through ^Kitaev=iγ𝖳HKitaevγ/4\hat{\mathcal{H}}_{\mathrm{Kitaev}}=i\vec{\gamma}^{\mathsf{T}}H_{\mathrm{Kitaev}}\vec{\gamma}/4 and j𝒦^je/o(s2j/2j1,t)exp(iγ𝖳Θe/o(𝒔t)γ/4)\prod_{j}\hat{\mathcal{K}}^{e/o}_{j}(s_{2j/2j-1,t})\propto\exp({i\vec{\gamma}^{\mathsf{T}}\Theta^{e/o}(\bm{s}_{t})}\vec{\gamma}/4) with γ=(γ1,,γ2L)𝖳\vec{\gamma}=(\gamma_{1},\cdots,\gamma_{2L})^{\mathsf{T}} (see Supplemental Material [53]).

Since this circuit KT(𝒔)K_{T}(\bm{s}) is a product of random matrices, we can perform the Lyapunov analysis [54, 55, 56, 57, 58, 59, 60]. Provided that the Oseledec theorem [61, 62, 63] holds, the Lyapunov spectrum zz_{\ell} does not depend on the sequence of outcomes 𝒔\bm{s}. It is also related to the energy spectrum of the effective Hamiltonian,

Heff,T(𝒔)=i2Tln[KT(𝒔)KT(𝒔)],\displaystyle H_{\textrm{eff},T}(\bm{s})=-\frac{i}{2T}\ln[K_{T}(\bm{s})K_{T}^{\dagger}(\bm{s})], (5)

and the corresponding many-body Hamiltonian ^eff,T(𝒔)=iγ𝖳Heff,T(𝒔)γ/4\hat{\mathcal{H}}_{\textrm{eff},T}(\bm{s})=-i\vec{\gamma}^{\mathsf{T}}H_{\textrm{eff},T}(\bm{s})\vec{\gamma}/4. Since Heff,T(𝒔)H_{\textrm{eff},T}(\bm{s}) is real antisymmetric, its eigenvalues iz,T(𝒔)iiz_{\ell,T}(\bm{s})\in i\mathbb{R} come in pairs, z2j1,T(𝒔)=z2j,T(𝒔)z_{2j-1,T}(\bm{s})=-z_{2j,T}(\bm{s}). This defines the single-particle energy spectrum z,T(𝒔)z_{\ell,T}(\bm{s}), which in the asymptotic limit coincides with the Lyapunov spectrum: z=limTz,T(𝒔)z_{\ell}=\lim_{T\to\infty}z_{\ell,T}(\bm{s}). We below arrange them as 0z1=z2z2L1=z2L0\leq z_{1}=-z_{2}\leq\cdots\leq z_{2L-1}=-z_{2L}. We can also compute the corresponding Lyapunov vectors w,T(𝒔)\vec{w}_{\ell,T}(\bm{s}). Written in the matrix form O~T(𝒔)=(w1,T(𝒔),,w2L,T(𝒔))\widetilde{O}_{T}(\bm{s})=(\vec{w}_{1,T}(\bm{s}),\cdots,\vec{w}_{2L,T}(\bm{s})), they give in the asymptotic limit an orthogonal matrix that brings Heff,T(𝒔)H_{\textrm{eff},T}(\bm{s}) into the standard form,

limTO~T𝖳(𝒔)Heff,T(𝒔)O~T(𝒔)=j=1L(0z2j1z2j10).\displaystyle\lim_{T\to\infty}\widetilde{O}_{T}^{\mathsf{T}}(\bm{s})H_{\textrm{eff},T}(\bm{s})\widetilde{O}_{T}(\bm{s})=\bigoplus_{j=1}^{L}\begin{pmatrix}{0}&z_{2j-1}\\ -z_{2j-1}&{0}\end{pmatrix}. (6)

In practice, we construct O~T(𝒔)\widetilde{O}_{T}(\bm{s}) through computing Lyapunov vectors corresponding to the non-negative Lyapunov spectrum based on the complex fermion representation, which is equivalent to the Majorana representation [53]. In the following, the initial state of the trajectories is fixed to be a vacuum state |ψ0=|0\ket{\psi_{0}}=\ket{0}, whereas the Lyapunov analysis itself is performed with random initial vectors w,0\vec{w}_{\ell,0} for a given trajectory. We only look at a single trajectory specified by a typical sequence of 𝒔\bm{s} and consider a temporal average of quantities in the long-time limit unless otherwise mentioned [53].

Refer to caption
Figure 2: (a) Non-negative single-particle Lyapunov spectra for L=64L=64 and (b) sum of squared amplitudes of the spinor wavefunction corresponding to the lowest energy z1z_{1} at the edges for the measurement-only circuit with the OBC. We find that the topologically non-trivial phase hosts a spatially localized Majorana edge mode with the zero Lyapunov exponent. The inset in (b) shows the spatial distribution of squared amplitudes of the spinor wavefunction at t=2Lt=2L averaged over 10001000 different trajectories for L=16L=16 and μe=0.1\mu_{e}=0.1. (c,d) Lowest non-negative single-particle Lyapunov spectrum for the measurement-only circuit with (c) PBC and (d) APBC. They are gapped except for μe0.5\mu_{e}\simeq 0.5, where z1z_{1} behaves as 1/L\sim 1/L for PBC and the exact gap closing is anticipated for APBC. (e) Topological invariant after a sufficiently long time, which sharply characterizes topological and trivial phases.
Lyapunov edge modes in measurement-only circuits.–

We first perform the Lyapunov analysis for the measurement-only circuit (J=J=0J=J^{\prime}=0). In this case, a direct transition at μe0.5\mu_{e}\simeq 0.5 occurs from a topological to a trivial area-law phase, as numerically checked by the topological entanglement entropy and bipartite mutual information [53], as done in [41, 34, 42].

Remarkably, we reveal that the topological area-law phase is characterized by Majorana zero modes for the Lyapunov spectrum. Figure 2(a) shows the non-negative single-particle Lyapunov spectrum zkz_{k} against μe\mu_{e} for the measurement-only circuit under the OBC for L=64L=64. Importantly, z1z_{1} takes a finite value for μe>0.5\mu_{e}>0.5, while it vanishes for μe0.5\mu_{e}\leq 0.5. Vanishing of z1z_{1} under the OBC in the topological area-law phase implies the many-body Lyapunov gap closing for ^eff,T(𝒔)\hat{\mathcal{H}}_{\textrm{eff},T}(\bm{s}), which is reminiscent of Majorana zero modes for the static Kitaev chain [64].

We next show that the above zero mode is a spatially localized edge mode by analyzing the spinor wavefunction ψT(𝒔)\vec{\psi}_{T}(\bm{s}) [65] with its element (ψT(𝒔))j=a=1,2b=2j1,2j((wa,T(𝒔))b2/2(\vec{\psi}_{T}(\bm{s}))_{j}=\sqrt{\sum_{a=1,2}\sum_{b=2j-1,2j}((\vec{w}_{a,T}(\bm{s}))_{b}^{2}/2} corresponding to the lowest energy z1,T(𝒔)z1z_{1,T}(\bm{s})\simeq z_{1}. In Fig. 2(b), We plot the long-time average of the sum of the squared amplitudes for ψT(𝒔)\vec{\psi}_{T}(\bm{s}) at both edges, |(ψT(𝒔))1|2+|(ψT(𝒔))L|2|(\vec{\psi}_{T}(\bm{s}))_{1}|^{2}+|(\vec{\psi}_{T}(\bm{s}))_{L}|^{2}, against μe\mu_{e}. Deep inside the topological phase (μe0.5\mu_{e}\ll 0.5), it takes a value close to 11 regardless of the system size, signaling localization of the zero mode near the edges. In contrast, it decreases toward a value 2/L2/L in the trivial phase, indicating that the Majorana mode delocalizes over the whole lattice on average. The localization of the zero modes in the topological phase is much more visible if we directly look at the spatial profile of the |(ψT(𝒔))j|2|(\vec{\psi}_{T}(\bm{s}))_{j}|^{2}. The inset of Fig. 2(b) shows (trajectory-averaged) values of |(ψT(𝒔))j|2|(\vec{\psi}_{T}(\bm{s}))_{j}|^{2} for L=16L=16 and μe=0.1\mu_{e}=0.1. These results indicate that the Lyapunov spectrum clearly reveals edge-localized Majorana zero modes in the topological area-law phase.

Topological invariant and bluk-edge correspondence.–

We now introduce a bulk topological invariant and relate it with the presence (absence) of the Lyapunov edge modes in the topological (trivial) area-law phase. Since the circuit 𝒦^T(𝒔)\hat{\mathcal{K}}_{T}(\bm{s}) conserves the fermion parity P^=j=1Liγ2j1γ2j\hat{P}=\prod_{j=1}^{L}i\gamma_{2j-1}\gamma_{2j}, the eigenstates of the effective Hamiltonian ^eff,T(𝒔)\hat{\mathcal{H}}_{\textrm{eff},T}(\bm{s}) have definite parities ±1\pm 1 unless they are degenerate. We then define the topological invariant as a difference between the fermion parities computed for the ground state under the PBC and that under the APBC. While this is analogous to the procedure for static Kitaev chains [64, 66, 67], a special care is required to determine the APBC because the trajectories depend on measurement outcomes. Namely, the APBC is here defined with respect to the PBC; we generate a circuit under the PBC with a sequence of measurement outcomes 𝒔\bm{s}. Then the circuit under the APBC is defined by flipping the outcomes s2L,ts_{2L,t} only for the boundary Majorana pairs, 𝒦^Le(s2L,t)𝒦^Le(s2L,t)\hat{\mathcal{K}}^{e}_{L}(s_{2L,t})\to\hat{\mathcal{K}}^{e}_{L}(-s_{2L,t}), with 𝒰^\hat{\mathcal{U}} under the APBC. Using ^eff,TPBC/APBC(𝒔)\mathcal{\hat{H}}_{\mathrm{eff},T}^{\mathrm{PBC/APBC}}(\bm{s}) defined through the above prescription, we introduce the topological invariant as the product of their ground states’ parities. Since the parity can be computed as the sign of the Pfaffian of the single-particle Hamiltonian for noninteracting systems, which is known as Kitaev’s formula [64], the topological invariant for monitored Majorana circuits is given by

QT(𝒔)=sgn(Pf[Heff,TPBC(𝒔)]Pf[Heff,TAPBC(𝒔)]).\displaystyle{Q_{T}(\bm{s})=\mathrm{sgn}(\mathrm{Pf}[{H}_{\mathrm{eff},T}^{\mathrm{PBC}}(\bm{s})]\mathrm{Pf}[{H}_{\mathrm{eff},T}^{\mathrm{APBC}}(\bm{s})])}. (7)

However, the explicit form of Heff,T(𝒔)H_{\textrm{eff},T}(\bm{s}) is numerically intractable for large TT. Thus, we instead compute χT(𝒔)\chi_{T}(\bm{s}) defined by

χT(𝒔)\displaystyle\chi_{T}(\bm{s}) =PTPBC(𝒔)PTAPBC(𝒔),\displaystyle=P_{T}^{\textrm{PBC}}(\bm{s})P^{\textrm{APBC}}_{T}(\bm{s}), (8)
PTPBC/APBC(𝒔)\displaystyle P^{\mathrm{PBC/APBC}}_{T}(\bm{s}) =det[O~TPBC/APBC(𝒔)].\displaystyle=\det[\widetilde{O}^{\textrm{PBC/APBC}}_{T}(\bm{s})]. (9)

Since χT(𝒔)\chi_{T}(\bm{s}) approximates and converges to QT(𝒔)Q_{T}(\bm{s}) for TT\to\infty, we will also call χT(𝒔)\chi_{T}(\bm{s}) as the topological invariant. We note that O~TPBC/APBC(𝒔)\widetilde{O}^{\textrm{PBC/APBC}}_{T}(\bm{s}) is not an orthogonal matrix for general TT.

In Fig. 2(c,d), we show the lowest single-particle Lyapunov spectrum z1z_{1} for the measurement-only circuit under the (c) PBC and (d) APBC. It takes a finite value for both cases, implying a finite bulk Lyapunov gap, within each area-law phase. As shown in Fig. 2(e), the topological invariant χT(𝒔)\chi_{T}(\bm{s}) clearly separates the topological and trivial area-law phases. Note that these results are qualitatively independent of the measurement outcomes 𝒔\bm{s}. In fact, PTPBC(𝒔)=1P^{\mathrm{PBC}}_{T}(\bm{s})=1 is satisfied in the whole parameter region, since the gap does not close at the transition μe0.5\mu_{e}\simeq 0.5 for PBC due to finite-size splitting z11/Lz_{1}\sim 1/L. On the other hand, PTAPBC(𝒔)P^{\mathrm{APBC}}_{T}(\bm{s}) abruptly changes from 1-1 to +1+1 across the transition point for APBC, implying an exact gap closing near μe=0.5\mu_{e}=0.5. This results in the observed transition in χT(𝒔)\chi_{T}(\bm{s}). The behaviors of the bulk Lyapunov gap resemble those of the bulk energy gap ΔE\Delta E of the static translation-invariant Kitaev chain [64]; in that case, ΔE=0\Delta E=0 for PBC and ΔE1/L\Delta E\sim 1/L for APBC at the transition, across which the Pfaffian invariant changes its sign.

The edge-localized zero mode under the OBC in Fig. 2(a,b) and the topological invariant in Fig. 2(e) indicate that the bulk-edge correspondence applies even to nonequilibrium phases under temporally random measurements, if the bulk gap is open. Such an exploration based on topology in random dynamics is accomplished by the Lyapunov analysis and the appropriate definition of the topological invariant via effective Hamiltonians. Note that a naive quantity PTPBC(𝒔)PTAPBC(𝒔)P_{T}^{\textrm{PBC}}(\bm{s})P^{\textrm{APBC}}_{T}(\bm{s}^{\prime}) with 𝒔𝒔\bm{s}\neq\bm{s}^{\prime} does not provide a good topological invariant in general. Rather, focusing on the trajectory under the APBC dependent on the trajectory under PBC makes their fermion parities meaningful to define the invariant under random measurements.

Gapless critical phase with additional unitary.–
Refer to caption
Figure 3: (a) Non-negative single-particle Lyapunov spectrum for the monitored circuit with J=0.5J=0.5 under the OBC for L=64L=64. (b,c) Lowest non-negative spectrum z1z_{1} under the (b) PBC and (c) APBC. (d) Topological invariant at t=Lt=L averaged over 10001000 different trajectories. The Lyapunov spectrum and topological invariant distinguish the topological area-law, critical gapless, and trivial area-law phases at μe0.4\mu_{e}\simeq 0.4 and 0.60.6, as indicated by the dashed vertical lines.

We now study the monitored circuit with unitary dynamics by the Kitaev Hamiltonian ^Kitaev\mathcal{\hat{H}}_{\mathrm{Kitaev}} and discuss how the Lyapunov spectrum and the topological invariant behave. Reference [51] considered a continuous-time version of our model to find three different entanglement phases as μe\mu_{e} increases. Specifically, the unitary part leads to a critical phase whose entanglement scales as S(lnL)2S\sim(\ln L)^{2} between the topological and trivial area-law phases (see also [37, 38, 68, 69, 39, 70, 40, 41, 71, 42]). In our circuit model, we numerically find three entanglement phases separated by two transition points μe0.4\mu_{e}\simeq 0.4 and 0.6\simeq 0.6 for J=0.5J=0.5, using the topological entanglement entropy and bipartite mutual information [53].

To discuss the topology of the three phases, we first investigate the Lyapunov spectrum in the circuit with OBC, finding that the critical phase corresponds to a gapless phase without Majorana zero modes. Figure 3(a) shows the μe\mu_{e} depedence of the non-negative single-particle Lyapunov spectrum. As observed in the measurement-only case, the lowest mode z1z_{1} become gapless (gapped) in the topological (trivial) phase. In the critical phase for 0.4μe0.60.4\lesssim\mu_{e}\lesssim 0.6, not only the lowest mode z1z_{1} but also higher modes zk(1)z_{k(\neq 1)} appear to become gapless, implying the closing of the bulk Lyapunov gap. Interestingly, the LL-dependence of z1z_{1} seems different between the topological area-law phase and the critical phase; z1z_{1} decays faster than power law in the topological area-law phase (μe0.4\mu_{e}\lesssim 0.4), while it appears to decay in 1/L1/L for our available system sizes in the critical phase (0.4μe0.60.4\lesssim\mu_{e}\lesssim 0.6[53].

The above observation of the bulk spectrum is also confirmed from the lowest spectrum z1z_{1} under the PBC and APBC. Indeed, as shown in Fig. 3(b,c), z1z_{1} goes to zero for 0.4μe0.60.4\lesssim\mu_{e}\lesssim 0.6, whereas the bulk gap is open for other μe\mu_{e}. While the scaling form of z1z_{1} right at the transitions μe0.4\mu_{e}\simeq 0.4 and 0.60.6 is close to 1/L1/L, it appears to decay faster than 1/L1/L inside the critical phase (except the APBC circuit at μe=0.5\mu_{e}=0.5, where exact gap closing is anticipated nearby) [53].

The above results for the spectral gaps indicate that the bulk-edge correspondence is obscured for the gapless phase if we consider χlimTχT(𝒔)\chi_{\infty}\equiv\lim_{T\rightarrow\infty}\chi_{T}(\bm{s}) for finite LL, which is confirmed to be convergent irrespective of 𝒔\bm{s}. That is, since z1z_{1} can only be exactly zero near μe=0.5\mu_{e}=0.5 for APBC, the asymptotic topological invariant can switch the sign only at this point for finite system sizes. Indeed, we have numerically observed that χT\chi_{T} flows towards 1-1 for μe<0.5\mu_{e}<0.5 and +1+1 for μe>0.5\mu_{e}>0.5 as TT increases [53]. In contrast, as discussed above, the Majorana zero mode seems absent even for 0.4μe<0.50.4\lesssim\mu_{e}<0.5. Therefore, while the critical phase is unstable in static Majorana chains and is thus unique to monitored Majorana chains, the bulk-edge correspondence is obscured since it corresponds to the gapless phase. This is reminiscent of the fact that topological phase is usually well defined in the gapped phase in static systems.

Remarkably, however, we find that the topological invariant dynamically characterizes the different phases, including the critical gapless phase. Specifically, we consider the sample-averaged invariant, χT\chi_{T}, for the timescale T=𝒪(L)T=\mathcal{O}(L). Figure 3(d) shows χT=L\chi_{T=L} for different system sizes, from which we find three crossings with μe0.4,0.5,\mu_{e}\simeq 0.4,0.5, and 0.60.6. The locations of the first and last crossings coincide well to the transitions between the area-law gapped phases and critical gapless phase. Notably, this characterization is attributed to the divergent relaxation time of the invariant in the gapless phase. If we denote the timescale as τrelax\tau_{\mathrm{relax}}, it is at least longer than 1/z1\sim 1/z_{1}, which increases faster than LL inside the gapless phase. Therefore, χT=L\chi_{T=L} will not converge and almost stay zero for the gapless phase. This is contrasted to the gapped phases with z1=𝒪(L0)z_{1}=\mathcal{O}(L^{0}), where χT\chi_{T} rapidly converge to ±1\pm 1 for T=𝒪(L)T=\mathcal{O}(L). Note that the crossing point at μe0.5\mu_{e}\simeq 0.5 is different from the boundaries of the three phases. The above argument indicates that this crossing is a finite-size artifact, and χT=L\chi_{T=L} will flatly become zero in the entire critical phase for LL\rightarrow\infty.

Summary and outlook.–

We have shown that monitored Majorana circuits in the gapped phases exhibit the bulk-edge correspondence through investigating the Lyapunov spectrum, gapless edge modes, and topological invariants based on the fermion parity. To define the topological invariant, we have used a unique methodology where the trajectory under APBC is defined with respect to that under PBC, according to twisted measurement outcomes at the boundary. We have also shown that the critical phase corresponds to the gapless phase in terms of the Lyapunov spectrum and is dynamically characterized by the topological invariant in a timescale t=𝒪(L)t=\mathcal{O}(L).

Our study opens the way to explore topological features in monitored systems through the Lyapunov analysis. An important future direction is to examine many-body systems, where our topological invariant based on the twisted measurement outcomes readily applies. For example, it is intriguing to analyze monitored circuits with Z2×Z2Z_{2}\times Z_{2} symmetry, for which measurements can stabilize an area-law phase with a symmetry-protected topological order of the cluster state [26, 38, 32]. Such a topological area-law phase will be charactarized by (nearly) four-fold degenerate Lyapunov spectrum under the OBC from gapless edge modes and a topological invariant measuring the change of one Z2Z_{2} charge by twisting boundary measurement outcomes for another Z2Z_{2} symmetry.

Note added.— While this work was in its final stage, we learned about a recent paper which investigates a similar issue [72].

Data availability.— Data and simulation codes are available upon reasonable request.

Acknowledgements.
Acknowledgments— We thank Xhek Turkeshi, Henning Schomerus, Alessandro Romito, Amos Chan, Keiji Saito, Ken Shiozaki, and Takahiro Morimoto for valuable discussions and comments. We thank Zhenyu Xiao and Kohei Kawabata for coordinating the submission of this work and Ref. [72]. H.O. is supported by RIKEN Junior Research Associate Program. K. M. and R.H. are supported by JST ERATO Grant Number JPMJER2302, Japan. K.M. is supported by JSPS KAKENHI Grant No. JP23K13037. R.H. is supported by JSPS KAKENHI Grant No. JP24K16982. Y.F. is supported by JSPS KAKENHI Grants No. JP20K14402 and No. JP24K06897. Part of the computation has been performed using the facilities of the Supercomputer Center, the Institute for Solid State Physics, the University of Tokyo.

References

Supplemental Material: Topology and Spectrum in Measurement-Induced Phase Transitions

I Numerical details

In this section, we provide a brief overview of the numerical simulation of our monitored Majorana circuits and outline the procedure for performing Lyapunov analysis. In this Supplemental Material, we assume that the states are normalized at every time.

I.1 Time evolution of the correlation matrix

While we focus on the correlation matrix of the Majorana fermions in the main text, we here consider the correlation matrix of complex fermions for stable numerical simulations. The correspondence between these expressions, along with the numerical methods, is elaborated in the following. As considered in the main text, we address a system with 2L2L Majorana modes represented as γ=(γ1,,γ2L)𝖳\vec{\gamma}=(\gamma_{1},\cdots,\gamma_{2L})^{\mathsf{T}}, where {γ,γ}=2δ\{\gamma_{\ell},\gamma_{\ell^{\prime}}\}=2\delta_{\ell\ell^{\prime}} is satisfied. Alternatively, we can consider the annihilation and creation operators of complex fermions as ϕc=(c1,,cL,c1,,cL)𝖳\vec{\phi}_{c}=(c_{1},\cdots,c_{L},c_{1}^{\dagger},\cdots,c_{L}^{\dagger})^{\mathsf{T}}, where cj=(γ2j1+iγ2j)/2c_{j}=(\gamma_{2j-1}+i\gamma_{2j})/2 and cj=(γ2j1iγ2j)/2c_{j}^{\dagger}=(\gamma_{2j-1}-i\gamma_{2j})/2. These operators satisfy the canonical anticommutation relations {ci,cj}=0\{c_{i},c_{j}\}=0 and {ci,cj}=δij\{c_{i},c_{j}^{\dagger}\}=\delta_{ij}. The relationship between ϕc\vec{\phi}_{c} and γ\vec{\gamma} can be expressed as Ωϕc=γ\Omega\vec{\phi}_{c}=\vec{\gamma}, where Ω\Omega is given by Ω=SΩ~\Omega=S\tilde{\Omega} with 2L×2L2L\times 2L matrices SS and Ω~\tilde{\Omega} defined as

It is straightforward to verify that ΩΩ=ΩΩ=2\Omega\Omega^{\dagger}=\Omega^{\dagger}\Omega=2 and unitarity of Ω/2\Omega/\sqrt{2}.

All the correlation functions of any fermionic Gaussian state are fully characterized by the two-point covariance matrix Γ\Gamma whose elements are Γij=i2[γi,γj]{\Gamma_{ij}}=\frac{i}{2}\left\langle[\gamma_{i},\gamma_{j}]\right\rangle. Alternatively, the state can be described using the correlation matrix of complex fermions

where Gij=cicjG_{ij}=\langle c_{i}c_{j}^{\dagger}\rangle and Fij=cicjF_{ij}=\langle c_{i}c_{j}\rangle. The correlation matrix CC and the covariance matrix Γ\Gamma are related via C=Ω(iΓ+I)Ω/4C=\Omega^{\dagger}(-i\Gamma+I)\Omega/4. We can interchangeably use these two expressions.

I.1.1 Unitary dynamics

The Kitaev chain Hamiltonian considered in the main text is given by

^kitaev\displaystyle\hat{\mathcal{H}}_{\textrm{kitaev}} =iJ=12L1γlγl+1+iJγ2Lγ1\displaystyle=iJ\sum_{\ell=1}^{2L-1}\gamma_{l}\gamma_{l+1}+iJ^{\prime}\gamma_{2L}\gamma_{1} (S1)
=Jj=1L1(cjcj+1+cjcj+1+h.c.)J(cLc1+cLc1+h.c.)+Jj=1L(2cjcj1).\displaystyle=-J\sum_{j=1}^{L-1}(c_{j}^{\dagger}c_{j+1}+c_{j}^{\dagger}c_{j+1}^{\dagger}+h.c.)-J^{\prime}(c_{L}^{\dagger}c_{1}+c_{L}^{\dagger}c_{1}^{\dagger}+h.c.)+J\sum_{j=1}^{L}(2c_{j}^{\dagger}c_{j}-1). (S2)

The single-particle Hamiltoians for complex and Majorana fermions, denoted as H~Kitaev\widetilde{H}_{\mathrm{Kitaev}} and HKitaevH_{\mathrm{Kitaev}}, respectively, satisfy

^Kitaev=ϕcH~Kitaevϕc=i4γ𝖳HKitaevγ,withHKitaev=iΩH~KitaevΩ\displaystyle\hat{\mathcal{H}}_{\mathrm{Kitaev}}=\vec{\phi}_{c}^{\dagger}\widetilde{H}_{\mathrm{Kitaev}}\vec{\phi}_{c}=\frac{i}{4}\vec{\gamma}^{\mathsf{T}}H_{\mathrm{Kitaev}}\vec{\gamma},\quad\textrm{with}\quad H_{\mathrm{Kitaev}}=-i\Omega\widetilde{H}_{\mathrm{Kitaev}}\Omega^{\dagger} (S3)

Here, H~Kitaev\widetilde{H}_{\mathrm{Kitaev}} is a 2L×2L2L\times 2L Hermitian matrix, while HKitaevH_{\mathrm{Kitaev}} is a 2L×2L2L\times 2L real anti-symmetric matrix, with elements derived from Eqs. (S2) and (S1), respectively. The Heisenberg evolution of ϕc\vec{\phi}_{c} by 𝒰^=ei^Kitaev\hat{\mathcal{U}}=e^{-i\hat{\mathcal{H}}_{\mathrm{Kitaev}}} becomes

𝒰^ϕc𝒰^=UϕcwithU=e2iH~Kitaev.\displaystyle\hat{\mathcal{U}}^{\dagger}{\vec{\phi}_{c}}\hat{\mathcal{U}}=U\vec{\phi}_{c}\quad\textrm{with}\quad U=e^{-2i{\widetilde{H}_{\mathrm{Kitaev}}}}. (S4)

For any Gaussian pure state, there exist LL operators that annihilate it, which means that the set of the annihilation operators characterizes the state [51, 52]. Let 𝒄=(c1,,cL)𝖳\bm{c}=(c_{1},\cdots,c_{L})^{\mathsf{T}} and 𝒅=(d1,,dL)𝖳\bm{d}=(d_{1},\cdots,d_{L})^{\mathsf{T}} be the annihilation operators of the initial state |ψ0\ket{\psi_{0}} and a general state |ψ\ket{\psi}, respectively. There exists a unitary operator 𝒱^\hat{\mathcal{V}} that maps the initial state to |ψ\ket{\psi} as |ψ=𝒱^|ψ0\ket{\psi}=\hat{\mathcal{V}}\ket{\psi_{0}}, provided that both states are Gaussian pure states. Thus, 𝒅\bm{d} can be written as

𝒅=𝒱^𝒄𝒱^=𝕌ϕc,\displaystyle\bm{d}=\hat{\mathcal{V}}\bm{c}\hat{\mathcal{V}}^{\dagger}=\mathbb{U}^{\dagger}\vec{\phi}_{c}, (S5)

with 2L×L2L\times L matrix 𝕌\mathbb{U}, which is verified to be an isometry satisfying 𝕌𝕌=IL\mathbb{U}^{\dagger}\mathbb{U}=I_{L} due to the canonical anticommutation relations of 𝒅\bm{d}. The matrix

𝕌𝕌=ψ|𝕌𝒅𝒅𝕌|ψ=ψ|𝕌𝕌ϕcϕc𝕌𝕌|ψ=(𝕌𝕌)ψ|ϕcϕc|ψ(𝕌𝕌)=(𝕌𝕌)C(𝕌𝕌),\displaystyle\mathbb{U}\mathbb{U}^{\dagger}=\bra{\psi}\mathbb{U}\bm{d}\bm{d}^{\dagger}\mathbb{U}^{\dagger}\ket{\psi}=\bra{\psi}\mathbb{U}\mathbb{U}^{\dagger}\vec{\phi}_{c}\vec{\phi}_{c}^{\dagger}\mathbb{U}\mathbb{U}^{\dagger}\ket{\psi}=(\mathbb{U}\mathbb{U}^{\dagger})\bra{\psi}\vec{\phi}_{c}\vec{\phi}_{c}^{\dagger}\ket{\psi}(\mathbb{U}\mathbb{U}^{\dagger})=(\mathbb{U}\mathbb{U}^{\dagger})C(\mathbb{U}\mathbb{U}^{\dagger}), (S6)

is a rank LL projector, while the correlation matrix CC is also a rank LL projector [48], which results in

C=𝕌𝕌.\displaystyle C=\mathbb{U}\mathbb{U}^{\dagger}. (S7)

The above formula implies that the general Gaussian pure state |ψ\ket{\psi} is characterized by the isometry 𝕌\mathbb{U}.

After the Gaussian unitary evolution 𝒰^\hat{\mathcal{U}}, the evolved state |ψ=𝒰^|ψ\ket{\psi^{\prime}}=\hat{\mathcal{U}}\ket{\psi} is annihilated by 𝒇=(f1,,fL)𝖳\bm{f}=(f_{1},\cdots,f_{L})^{\mathsf{T}} with

𝒇=𝒰^𝒅𝒰^=𝕌𝒰^ϕc𝒰^=𝕌Uϕc=(U𝕌)ϕc.\displaystyle\bm{f}=\hat{\mathcal{U}}{\bm{d}}\hat{\mathcal{U}}^{\dagger}=\mathbb{U}^{\dagger}\hat{\mathcal{U}}\vec{\phi}_{c}\hat{\mathcal{U}}^{\dagger}=\mathbb{U}^{\dagger}U^{\dagger}\vec{\phi}_{c}=(U\mathbb{U})^{\dagger}\vec{\phi}_{c}. (S8)

The above equation implies that the time evolution is dictated by the change in the isometry 𝕌\mathbb{U}, i.e., 𝕌=U𝕌\mathbb{U}^{\prime}=U\mathbb{U} and C=𝕌(𝕌)C^{\prime}=\mathbb{U}^{\prime}(\mathbb{U}^{\prime})^{\dagger}.

Setting the initial state as the vacuum state of 𝒄\bm{c}, it is straightforward to verify that the isometry 𝕌0\mathbb{U}_{0} corresponding to the initial state is given by

𝕌0=(IL0L).\displaystyle\mathbb{U}_{0}=\matrixquantity(I_{L}\\ 0_{L}). (S9)

I.1.2 Non-unitary evolution caused by measurements

We now consider the non-unitary dynamics caused by measurements. The measurements considered in the main text are given by the Kraus operators 𝒦^je/o(s)eΘ^je/o(s)\hat{\mathcal{K}}_{j}^{e/o}(s)\propto e^{\hat{\Theta}^{e/o}_{j}(s)} up to the normalization factor. Here, the Hermitian operators Θ^je/o(s)\hat{\Theta}^{e/o}_{j}(s) explicitly take the form,

for the measurements of the Majorana pairs on odd bonds, whereas

(S10)

for the measurements of the Majorana pairs on even bonds. Since these operators are quadratic in fermions, we can introduce a 2L×2L2L\times 2L real symmetric matrix Θ~je/o(s)\widetilde{\Theta}^{e/o}_{j}(s) and a 2L×2L2L\times 2L real antisymmetric matrix Θje/o(s)\Theta^{e/o}_{j}(s) through

Θ^je/o(s)=ϕcΘ~je/o(s)ϕc=i4γ𝖳Θje/o(s)γ.\displaystyle\hat{\Theta}^{e/o}_{j}(s)=\vec{\phi}_{c}^{\dagger}\widetilde{\Theta}^{e/o}_{j}(s)\vec{\phi}_{c}=\frac{i}{4}\vec{\gamma}^{\mathsf{T}}\Theta^{e/o}_{j}(s)\vec{\gamma}. (S11)

The Heisenberg evolution of the complex fermions under measurement is given by

𝒦^je/o(s)ϕc(𝒦^je/o(s))1=𝒦^je/o(s)ϕc𝒦^je/o(s)1=Kje/o(s)ϕcwithKje/o(s)=e2Θ~je/o(s)\displaystyle\hat{\mathcal{K}}_{j}^{e/o}(s)^{\dagger}\vec{\phi}_{c}(\hat{\mathcal{K}}_{j}^{e/o}(s)^{\dagger})^{-1}=\hat{\mathcal{K}}_{j}^{e/o}(s)\vec{\phi}_{c}\hat{\mathcal{K}}_{j}^{e/o}(s)^{-1}=K_{j}^{e/o}(s)\vec{\phi}_{c}\quad\textrm{with}\quad K_{j}^{e/o}(s)=e^{-2{\widetilde{\Theta}_{j}^{e/o}(s)}} (S12)

We generically consider Gaussian non-unitary evolution |ψ=𝒦^|ψ/𝒦^|ψ\ket{\psi^{\prime}}=\hat{\mathcal{K}}\ket{\psi}/\|\hat{\mathcal{K}}\ket{\psi}\| caused by the measurement described above. Let 𝒄\bm{c} and 𝒅\bm{d} denote the operators that annihilate the initial vacuum state |ψ0\ket{\psi_{0}} and a general state |ψ\ket{\psi}, respectively. The operators annihilating the evolved state |ψ\ket{\psi^{\prime}} are given by 𝒇~=𝒦^𝒅𝒦^1\tilde{\bm{f}}=\hat{\mathcal{K}}\bm{d}\hat{\mathcal{K}}^{-1}. However, while the operators f~i\tilde{f}_{i} satisfy {f~i,f~j}=0\{\tilde{f}_{i},\tilde{f}_{j}\}=0, it is found that {f~i,f~j}δij\{\tilde{f}_{i},\tilde{f}_{j}^{\dagger}\}\neq\delta_{ij}, which means that they are not canonical fermionic operators.

To address this issue, we aim to construct a unitary transformation that maps the pre-measurement state |ψ\ket{\psi} to the post-measurement state |ψ\ket{\psi^{\prime}}. Expressing 𝒅\bm{d} as 𝒅=𝕌ϕc\bm{d}=\mathbb{U}^{\dagger}\vec{\phi}_{c} and writing 𝒦^ϕc𝒦^1=Kϕc\hat{\mathcal{K}}\vec{\phi}_{c}\hat{\mathcal{K}}^{-1}=K\vec{\phi}_{c}, the operator 𝒇~\tilde{\bm{f}} can be written as

𝒇~=𝒦^𝒅𝒦^1=𝕌𝒦^ϕc𝒦^1=𝕌Kϕc=(K𝕌)ϕc=(𝕌~)ϕc\displaystyle\bm{\tilde{f}}=\hat{\mathcal{K}}\bm{d}\hat{\mathcal{K}}^{-1}=\mathbb{U}^{\dagger}\hat{\mathcal{K}}\vec{\phi}_{c}\hat{\mathcal{K}}^{-1}=\mathbb{U}^{\dagger}K\vec{\phi}_{c}=(K\mathbb{U})^{\dagger}\vec{\phi}_{c}=(\tilde{\mathbb{U}}^{\prime})^{\dagger}\vec{\phi}_{c} (S13)

where 𝕌~K𝕌\tilde{\mathbb{U}}^{\prime}\equiv K\mathbb{U} with the Hermitian operator KK. We now apply the thin QR-decomposition to 𝕌~\tilde{\mathbb{U}}^{\prime}, yielding 𝕌~=R\tilde{\mathbb{U}}^{\prime}=\mathbb{Q}R where \mathbb{Q} is a 2L×L2L\times L isometry satisfying =IL\mathbb{Q}^{\dagger}\mathbb{Q}=I_{L}, and RR is a L×LL\times L upper triangular matrix. We then define new operators 𝒇\bm{f} as

𝒇=(R)1𝒇~=ϕc.\displaystyle\bm{f}=(R^{\dagger})^{-1}\tilde{\bm{f}}=\mathbb{Q}^{\dagger}\vec{\phi}_{c}. (S14)

Since fjf_{j} is a linear combination of f~j\tilde{f}_{j}, the new operators fjf_{j} also annihilate the state |ψ\ket{\psi^{\prime}}. Furthermore, as \mathbb{Q} is an isometry, the canonical anticommutation relation {fi,fj}=δij\{f_{i},f_{j}^{\dagger}\}=\delta_{ij} holds. This implies the existence of a Gaussian unitary operator 𝒬^\hat{\mathcal{Q}} such that |ψ=𝒬^|ψ{\ket{\psi^{\prime}}}=\hat{\mathcal{Q}}\ket{\psi}, with

𝒇=𝒬^𝒅𝒬^=ϕc.\displaystyle\bm{f}=\hat{\mathcal{Q}}\bm{d}\hat{\mathcal{Q}}^{\dagger}=\mathbb{Q}^{\dagger}\vec{\phi}_{c}. (S15)

Thus, the correlation matrix can be updated as C=C^{\prime}=\mathbb{Q}\mathbb{Q}^{\dagger}.

I.1.3 Born probability

We next provide a way to compute the Born probabilities based on the correlation matrix when the weak measurements are applied. The Kraus operators corresponding to the weak measurements of the Majorana pairs on jjth odd and even bonds are written by

𝒦^jo(s)=12cosh(2θo)eisθoγ2j1γ2jand𝒦^je(s)=12cosh(2θe)eisθeγ2jγ2j+1,\displaystyle\hat{\mathcal{K}}_{j}^{o}(s)=\frac{1}{\sqrt{2\cosh(2\theta_{o})}}e^{-is\theta_{o}\gamma_{2j-1}\gamma_{2j}}\quad\textrm{and}\quad\hat{\mathcal{K}}_{j}^{e}(s)=\frac{1}{\sqrt{2\cosh(2\theta_{e})}}e^{-is\theta_{e}\gamma_{2j}\gamma_{2j+1}}, (S16)

respectively. For the measurements on the odd bond, by using eixγμγν=cosh(x)+i(sinhx)γμγνe^{ix\gamma_{\mu}\gamma_{\nu}}=\cosh{x}+i(\sinh{x})\gamma_{\mu}\gamma_{\nu} and transforming Majorana fermions to complex fermions, we find that the Born probability of finding the outcome ss is given by

pjo(s)=(𝒦^jo(s))𝒦^jo(s)=12(1+μo2)((sμo)2+4sμocjcj)=12(1+μo2)((sμo)2+4sμoGjj).\displaystyle p_{j}^{o}(s)=\left\langle\left(\hat{\mathcal{K}}_{j}^{o}(s)\right)^{\dagger}\hat{\mathcal{K}}_{j}^{o}(s)\right\rangle=\frac{1}{2(1+\mu_{o}^{2})}((s-\mu_{o})^{2}+4s\mu_{o}\langle c_{j}c_{j}^{\dagger}\rangle)=\frac{1}{2(1+\mu_{o}^{2})}((s-\mu_{o})^{2}+4s\mu_{o}G_{jj}). (S17)

In the same way, for the measurements on the even bond, the Born probability of finding the outcome ss is given by

pje(s)\displaystyle p_{j}^{e}(s) =(𝒦^je(s))𝒦^je(s)\displaystyle=\left\langle\left(\hat{\mathcal{K}}_{j}^{e}(s)\right)^{\dagger}\hat{\mathcal{K}}_{j}^{e}(s)\right\rangle
=12(1+μe2)(1+μe2+2sμe(cjcj+1+cjcj+1+cj+1cj+cj+1cj)\displaystyle=\frac{1}{2(1+\mu_{e}^{2})}(1+\mu_{e}^{2}+2s\mu_{e}(\langle c_{j}^{\dagger}c_{j+1}\rangle+\langle c_{j}^{\dagger}c_{j+1}^{\dagger}\rangle+\langle c_{j+1}^{\dagger}c_{j}\rangle+\langle c_{j+1}c_{j}\rangle)
=12(1+μe2)(1+μe24sμeRe[Gj,j+1+Fj,j+1]).\displaystyle=\frac{1}{2(1+\mu_{e}^{2})}(1+\mu_{e}^{2}-4s\mu_{e}\mathrm{Re}[G_{j,j+1}+F_{j,j+1}]). (S18)

I.2 Lyapunov spectrum and Oseledec’s theorem

Oseledec’s multiplicative theorem [61] guarantees that, for almost all stationary sequences 𝝎={ω1,,ωT}\bm{\omega}={\{\omega_{1},\cdots,\omega_{T}\}}, random matrices At(ωt)A_{t}(\omega_{t}) with lnAt(ωt)¯<\overline{\ln\|A_{t}(\omega_{t})\|}<\infty, the Oseledec matrix

Ξ(𝝎)=limT[KT(𝝎)KT(𝝎)]12T,\displaystyle\Xi(\bm{\omega})=\underset{T\rightarrow\infty}{\lim}\left[K_{T}(\bm{\omega})K_{T}^{\dagger}(\bm{\omega})\right]^{-\frac{1}{2T}}, (S19)

exists. Here, the overline refers to the average over the probability distribution of 𝝎\bm{\omega}, and KT(𝝎)=AT(ωT)A1(ω1)K_{T}(\bm{\omega})=A_{T}(\omega_{T})\cdots A_{1}(\omega_{1}) is a product of the matrices in the sequence 𝝎\bm{\omega}. A DD-dimensional Oseledec matrix has DD positive eigenvalues {ezk(𝝎)}\{e^{z_{k}(\bm{\omega})}\}. The exponents zk(𝝎)z_{k}(\bm{\omega}) are called the Lyapunov spectrum, and the eigenvectors of Ξ(𝝎)\Xi(\bm{\omega}) are called the Lyapunov vectors. If 𝝎\bm{\omega} is an ergodic sequence, the Lyapunov spectrum does not depend on 𝝎\bm{\omega}, i.e., zkzk(𝝎)z_{k}\equiv z_{k}(\bm{\omega}), although the Lyapunov vectors still depend on 𝝎\bm{\omega} in general.

For the simulation of our model, the matrix product KT(𝒔)K_{T}(\bm{s}) in the basis of complex fermions reads

K~T(𝒔)=t=1TM~t(𝒔t),M~t(𝒔t)=((je2Θ~je(s2j,t))(je2Θ~jo(s2j1,t))e2iH~Kitaev).\displaystyle\widetilde{K}_{T}(\bm{s})=\prod_{t=1}^{T}\widetilde{M}_{t}(\bm{s}_{t}),\quad\widetilde{M}_{t}(\bm{s}_{t})=\left(\left(\prod_{j}e^{-2\widetilde{\Theta}_{j}^{e}(s_{2j,t})}\right)\left(\prod_{j}e^{-2\widetilde{\Theta}_{j}^{o}(s_{2j-1,t})}\right)e^{-2i\widetilde{H}_{\mathrm{Kitaev}}}\right). (S20)

It is important to note that the single-particle Lyapunov spectrum for the monitored Majorana circuit comes in plus/minus pairs 0z2j1,T(𝒔)=z2j,T(𝒔)0\leq z_{2j-1,T}(\bm{s})=-z_{2j,T}(\bm{s}) due to the particle-hole symmetry of the effective Hamiltonian; it is given by H~eff,T(𝒔)=lnΞ~T(𝒔)\widetilde{H}_{\mathrm{eff},T}(\bm{s})=\ln\widetilde{\Xi}_{T}(\bm{s}) with Ξ~T(𝒔)=[K~T(𝒔)(K~T(𝒔))]1/2T\widetilde{\Xi}_{T}(\bm{s})=[\widetilde{K}_{T}(\bm{s})(\widetilde{K}_{T}(\bm{s}))^{\dagger}]^{-1/2T} in the complex fermion basis, which is connected to the effective Hamiltonian Heff,T(𝒔)H_{\mathrm{eff},T}(\bm{s}) in the Majorana basis as Heff,T(𝒔)=iΩH~eff,T(𝒔)ΩH_{\mathrm{eff},T}(\bm{s})=-i\Omega\widetilde{H}_{\mathrm{eff,T}}(\bm{s})\Omega^{\dagger}. The effective Hamiltonian H~eff,T(𝒔)\widetilde{H}_{\mathrm{eff},T}(\bm{s}) is diagonalized by a unitary matrix WT(𝐬)W_{T}(\mathbf{s}),

WT(𝒔)H~eff,T(𝒔)WT(𝒔)=diag(z1,T(𝒔),z3,T(𝒔),,zL1,T(𝒔),z2,T(𝒔),z4,T(𝒔),,z2L,T(𝒔)),\displaystyle W_{T}^{\dagger}(\bm{s})\widetilde{H}_{\mathrm{eff},T}(\bm{s})W_{T}(\bm{s})=\mathrm{diag}(z_{1,T}(\bm{s}),z_{3,T}(\bm{s}),\cdots,z_{L-1,T}(\bm{s}),z_{2,T}(\bm{s}),z_{4,T}(\bm{s}),\cdots,z_{2L,T}(\bm{s})), (S21)

where 0z1,T(𝒔)=z2,T(𝒔)z2L1,T(𝒔)=z2L,T(𝒔)0\leq z_{1,T}(\bm{s})=-z_{2,T}(\bm{s})\leq\cdots\leq z_{2L-1,T}(\bm{s})=-z_{2L,T}(\bm{s}). Here, zk,T(𝒔)z_{k,T}(\bm{s}) computed in the complex fermion basis are the same as the zk,T(𝒔)z_{k,T}(\bm{s}) in the Majorana fermion basis in the main text. Hence, we compute only the non-negative half of the Lyapunov spectrum along with the corresponding Lyapunov vectors, while the remaining half is determined by leveraging the particle-hole symmetry.

In general, however, it is numerically hard to compute the Oseledec matrix by directly multiplying random matrices due to numerical overflow [63]. To overcome this difficulty, we use a technique based on QR-decomposition in our numerical calculation [61, 62, 63]. We first prepare a 2L×L2L\times L random matrix 𝕎0\mathbb{W}^{\prime}_{0} whose elements are chosen from the complex Gaussian distribution and apply a thin QR-decomposition to it as 𝕎0=0R0\mathbb{W}^{\prime}_{0}=\mathbb{Q}_{0}R_{0} and set 𝕎0=0\mathbb{W}_{0}=\mathbb{Q}_{0}. Then, we repeat the following procedure:

  1. 1.

    Apply the circuit operators M~t(𝒔t)\widetilde{M}_{t}(\bm{s}_{t}) in one time step to 𝕎t1(𝒔)\mathbb{W}_{t-1}(\bm{s}) as 𝕎t(𝒔)=M~t(𝒔t)𝕎t1(𝒔)\mathbb{W}^{\prime}_{t}(\bm{s})=\widetilde{M}_{t}(\bm{s}_{t})\mathbb{W}_{t-1}(\bm{s}).

  2. 2.

    Apply QR-decomposition to 𝕎t(𝒔)\mathbb{W}^{\prime}_{t}(\bm{s}) as 𝕎t(𝒔)=t(𝒔)Rt(𝒔)\mathbb{W}^{\prime}_{t}(\bm{s})=\mathbb{Q}_{t}(\bm{s})R_{t}(\bm{s}), and set 𝕎t(𝒔)=t(𝒔)\mathbb{W}_{t}(\bm{s})=\mathbb{Q}_{t}(\bm{s}).

  3. 3.

    Store the diagonal elements {(Rt(𝒔))jj}\{(R_{t}(\bm{s}))_{jj}\} of Rt(𝒔)R_{t}(\bm{s}).

We note that t(𝒔)\mathbb{Q}_{t}(\bm{s}) used here are not related to \mathbb{Q} used in the Sec. I.1.2. Then, the snapshot Lyapunov spectrum at time t=Tt=T is given by

z~2j1,T(𝒔)=1Tt=1Tln(Rt(𝒔))jj,\displaystyle\widetilde{z}_{2j-1,T}(\bm{s})=\frac{1}{T}\sum_{t=1}^{T}\ln(R_{t}(\bm{s}))_{jj}, (S22)

which converges to the non-negative Lyapunov spectrum z2j1,T(𝒔)z_{2j-1,T}(\bm{s}) as TT\to\infty. The corresponding snapshot Lyapunov vectors at t=Tt=T are constructed by

where 𝕎tu(𝒔)\mathbb{W}_{t}^{u}(\bm{s}) (𝕎td(𝒔)\mathbb{W}_{t}^{d}(\bm{s})) is the submatrix of 𝕎t(𝒔)\mathbb{W}_{t}(\bm{s}) consisting of rows ranging from 1 to LL (from L+1L+1 to 2L2L) and all columns. This is because the effective Hamiltonian for complex fermions satisfies the particle-hole symmetry,

ΣxH~eff,T(𝒔)Σx1=H~eff,T(𝒔),Σx=(0LILIL0L),\displaystyle\Sigma_{x}\widetilde{H}_{\mathrm{eff},T}^{*}(\bm{s})\Sigma_{x}^{-1}=-\widetilde{H}_{\mathrm{eff},T}(\bm{s}),\ \ \Sigma_{x}=\left(\begin{array}[]{cc}0_{L}&I_{L}\\ I_{L}&0_{L}\end{array}\right), (S25)

and thus the Lyapunov vectors corresponding to negative Lyapunov exponents can be constructed from those with positive exponents. The matrix O~T(𝒔)\widetilde{O}_{T}(\bm{s}) in the main text is obtained by O~T(𝒔)=ΩW~T(𝒔)Ω/4\widetilde{O}_{T}(\bm{s})=\Omega\widetilde{W}_{T}(\bm{s})\Omega^{\dagger}/4. Note that, while W~T(𝒔)\widetilde{W}_{T}(\bm{s}) is not unitary for general TT, it becomes the unitary matrix WT(𝒔)W_{T}(\bm{s}) of the Lyapunov vectors that diagonalizes the effective Hamiltonian H~eff,T(𝒔)\widetilde{H}_{\mathrm{eff},T}(\bm{s}) in the long time limit.

We find that the condition lnAt(ωt)¯<\overline{\ln\|A_{t}(\omega_{t})\|}<\infty for Oseledec’s theorem is satisfied as long as the measurements are not projective. The logarithm of the operator norm of the matrix describing the unitary evolution is given by 0. Additionally, the logarithm of the operator norm of the matrix describing each variable-strength is given by 2θe/o(ln(2cosh2θe/o))/22\theta_{e/o}-(\ln(2\cosh 2\theta_{e/o}))/2, which is finite as long as μe/o=tanh(θe/o)<1\mu_{e/o}=\tanh(\theta_{e/o})<1.

Next, we numerically confirm that the Lyapunov spectrum computed for a single trajectory converges to a specific value after sufficiently long time and remains almost unchanged under further time evolution of the circuit, as shown in Fig. S1. Additionally, these values closely match the values averaged over 100100 different trajectories. These results indicate that z,T(𝒔)z_{\ell,T}(\bm{s}) becomes independent of the time TT and trajectory 𝒔\bm{s}, which allows us to write z,T(𝒔)z_{\ell,T}(\bm{s}) as zz_{\ell} for sufficiently large TT.

Refer to caption
Figure S1: Time series of the snapshot Lyapunov spectrum z~k,T(𝒔)\widetilde{z}_{k,T}(\bm{s}) of a single trajectory computed from Eq. (S22) for L=4L=4, J=0.5J=0.5, and μe=0.5\mu_{e}=0.5. Black lines are non-negative Lyapunov spectra computed at T=105T=10^{5} averaged over different 100100 trajectories for modes with k=1,3,5,k=1,3,5, and 77.

In this paper, hence, we only look at a typical single trajectory and consider the temporal average of quantities after the Lyapunov spectrum becomes stationary when we perform Lyapunov analysis, unless otherwise mentioned. Specifically, we determine the time at which the Lyapunov spectrum is sufficiently stationary, on the basis of the following criteria. First, we evolve the circuit and compute dz~j,t(𝒔)=z~2j+1,t(𝒔)z~2j1,t(𝒔)d\widetilde{z}_{j,t}(\bm{s})=\widetilde{z}_{2j+1,t}(\bm{s})-\widetilde{z}_{2j-1,t}(\bm{s}) for all j=1,,L1j=1,\cdots,L-1 at each time after t=104t=10^{4}. Then, we compute the averages and the standard deviations of dz~j,t(𝒔)d\widetilde{z}_{j,t}(\bm{s}) over the last 10001000 steps, and if the ratios of the standard deviations to the average are less than 10×103\sqrt{10}\times 10^{-3} for all jj, we stop the calculation and compute physical quantities averaged over the last 10001000 steps.

II Bipartite mutual information and topological entanglement entropy

Refer to caption
Figure S2: (a) Bipartite mutual information and (b) topological entanglement entropy plotted against μe\mu_{e} for the measurement-only circuit (J=0)(J=0). The bipartite mutual information is computed for the partition of the system into four subsystems of the equal length L/4L/4 under the PBC, whereas the topological entanglement entropy is computed for the same partition under the OBC. Similar plots are made in (c) and (d) for the monitored circuit with the unitary dynamics (J=0.5)(J=0.5).

Our model exhibits a phase transition from the topological area-law phase to the trivial area-law phase as μe\mu_{e} increases, when the unitary dynamics is absent. In the presence of the unitary dynamics, the phase transitions occur twice: One is the transition from the topological area-law phase to the critical phase, and the other is the transition from the critical phase to the trivial area-law phase. To confirm this, we first examine the behaviors of conventionally studied quantities, i.e., the bipartite mutual information and topological entanglement entropy (see, e.g., [26, 39, 42]). The bipartite mutual information between subsystems AA and BB is given by

I2(A:B)=SA+SBSAB.\displaystyle I_{2}(A:B)=S_{A}+S_{B}-S_{AB}. (S26)

We study I2(A:B)I_{2}(A:B) for the circuits with PBC and consider the partition of the system as shown in Fig. S2(a). Next, the topological entanglement entropy is defined by [73]

Stopo=SAB+SBCSBSABC,\displaystyle S^{\mathrm{topo}}=S_{AB}+S_{BC}-S_{B}-S_{ABC}, (S27)

for the circuits with OBC and for the partition of the system as shown in Fig. S2(b). Note that SXS_{X} in the above expressions represents the von Neumann entanglement entropy of a subsystem XX, which can be computed from the correlation matrix in the following way. We first construct a submatrix by extracting only the space corresponding to the subsystem XX from the original correlation matrix (Cx,x)|x,x𝑿(C_{x,x^{\prime}})|_{x,x^{\prime}\in\bm{X}} with 𝑿=[i1,,i|X|,L+i1,,L+i|X|]\bm{X}=[i_{1},\cdots,i_{|X|},L+i_{1},\cdots,L+i_{|X|}]. From its eigenvalues {λi,1λi}i=1,,|𝑿|/2\{\lambda_{i},1-\lambda_{i}\}_{i=1,\cdots,|\bm{X}|/2} with λi0\lambda_{i}\geq 0, we can obtain the von Neumann entanglement entropy by

SX=i=1|𝑿|/2(λilog2λi+(1λi)log2(1λi)).\displaystyle S_{X}=-\sum_{i=1}^{|\bm{X}|/2}(\lambda_{i}\log_{2}\lambda_{i}+(1-\lambda_{i})\log_{2}(1-\lambda_{i})). (S28)

We now argue that at a phase transition point described by (1+1)-dimensional conformal field theory (CFT), both bipartite mutual information I2(A:B)I_{2}(A:B) and topological entanglement entropy StopoS^{\textrm{topo}} take constant values independent of the system size, provided that the ratio of the partitions of the system is fixed. This indicates that the transition point can be estimated from the point at which I2(A:B)I_{2}(A:B) and StopoS^{\textrm{topo}} computed for different system sizes collapse into a single point. For the bipartite mutual information I2(A:B)I_{2}(A:B), we consider a one-dimensional chain of the length LL with PBC, which corresponds to an infinite cylinder with the circumference LL in the space-time complex coordinate system. Given the partition A=[x1,x2]A=[x_{1},x_{2}] and B=[x3,x4]B=[x_{3},x_{4}], we need to evaluate the following quantity [74, 75],

TrρABnTrρAnTrρBn=𝒯n(z1,z¯1)𝒯n(z2,z¯2)𝒯n(z3,z¯3)𝒯n(z4,z¯4)𝒯n(z1,z¯1)𝒯n(z2,z¯2)𝒯n(z3,z¯3)𝒯n(z4,z¯4),\displaystyle\frac{\textrm{Tr}\rho_{AB}^{n}}{\textrm{Tr}\rho_{A}^{n}\textrm{Tr}\rho_{B}^{n}}=\frac{\langle\mathcal{T}_{n}(z_{1},\bar{z}_{1})\mathcal{T}_{n}(z_{2},\bar{z}_{2})\mathcal{T}_{n}(z_{3},\bar{z}_{3})\mathcal{T}_{n}(z_{4},\bar{z}_{4})\rangle}{\langle\mathcal{T}_{n}(z_{1},\bar{z}_{1})\mathcal{T}_{n}(z_{2},\bar{z}_{2})\rangle\langle\mathcal{T}_{n}(z_{3},\bar{z}_{3})\mathcal{T}_{n}(z_{4},\bar{z}_{4})\rangle}, (S29)

where ρX\rho_{X} is the reduced density matrix for the subsystem XX, 𝒯n(z,z¯)\mathcal{T}_{n}(z,\bar{z}) is the twist field of the conformal dimension Δn=Δ¯n=c(nn1)/24\Delta_{n}=\bar{\Delta}_{n}=c(n-n^{-1})/24, and zi=ixiz_{i}=ix_{i} with xix_{i}\in\mathbb{R}. After the conformal mapping w=e2πz/Lw=e^{2\pi z/L} onto the infinite complex plane, we can evaluate NN-point correlation functions of the twist fields in r.h.s of Eq. (S29) from global conformal invariance and find

TrρABnTrρAnTrρBn=F(η),\displaystyle\frac{\textrm{Tr}\rho_{AB}^{n}}{\textrm{Tr}\rho_{A}^{n}\textrm{Tr}\rho_{B}^{n}}=F(\eta), (S30)

which is a function of the cross ratio η\eta defined by

η=|w1w2||w3w4||w1w3||w2w4|=sin(π|x1x2|/L)sin(π|x3x4|/L)sin(π|x1x3|/L)sin(π|x2x4|/L).\displaystyle\eta=\frac{|w_{1}-w_{2}||w_{3}-w_{4}|}{|w_{1}-w_{3}||w_{2}-w_{4}|}=\frac{\sin(\pi|x_{1}-x_{2}|/L)\sin(\pi|x_{3}-x_{4}|/L)}{\sin(\pi|x_{1}-x_{3}|/L)\sin(\pi|x_{2}-x_{4}|/L)}. (S31)

We note that ziz_{i} and wiw_{i} used here are not related to zz_{\ell} and w,T(𝒔)\vec{w}_{\ell,T}(\bm{s}) used for Lyapunov analysis. For the partition of the system into four segments of the equal length L/4L/4, the cross ratio is independent of the system size LL (η=1/2\eta=1/2), and so is the bipartite mutual information I2(A:B)I_{2}(A:B), which can be computed from the limit n1n\to 1 of the logarithm of Eq. (S30).

For the topological entanglement entropy StopoS^{\textrm{topo}}, we consider a one-dimensional chain of the length LL with OBC, which corresponds to an infinite strip of the width LL. Given the partition A=[0,x1]A=[0,x_{1}], B=[x1,x2]B=[x_{1},x_{2}], and C=[x3,L]C=[x_{3},L], we need to evaluate

TrρABnTrρBCnTrρBnTrρABCn=𝒯n(z2,z¯2)𝒯n(z1,z¯1)𝒯n(z2,z¯2)𝒯n(z3,z¯3)𝒯n(z1,z¯1)𝒯n(z2,z¯2)𝒯n(z2,z¯2)𝒯n(z3,z¯3).\displaystyle\frac{\textrm{Tr}\rho_{AB}^{n}\textrm{Tr}\rho_{BC}^{n}}{\textrm{Tr}\rho_{B}^{n}\textrm{Tr}\rho_{ABC}^{n}}=\frac{\langle\mathcal{T}_{n}(z_{2},\bar{z}_{2})\rangle\langle\mathcal{T}_{n}(z_{1},\bar{z}_{1})\mathcal{T}_{n}(z_{2},\bar{z}_{2})\mathcal{T}_{n}(z_{3},\bar{z}_{3})\rangle}{\langle\mathcal{T}_{n}(z_{1},\bar{z}_{1})\mathcal{T}_{n}(z_{2},\bar{z}_{2})\rangle\langle\mathcal{T}_{n}(z_{2},\bar{z}_{2})\mathcal{T}_{n}(z_{3},\bar{z}_{3})\rangle}. (S32)

After the conformal mapping w=eπz/Lw^{\prime}=e^{\pi z/L} onto the upper half plane, the NN-point correlation functions of the twist field 𝒯n\mathcal{T}_{n} in r.h.s can be evaluated in the infinite complex plane via the method of images [76], which yields

TrρABnTrρBCnTrρBnTrρABCn=𝒯n(w2)𝒯n(w¯2)𝒯n(w1)𝒯n(w¯1)𝒯n(w2)𝒯n(w¯2)𝒯n(w3)𝒯n(w¯3)𝒯n(w1)𝒯n(w¯1)𝒯(w2)𝒯(w¯2)𝒯n(w2)𝒯n(w¯2)𝒯n(w3)𝒯n(w¯3).\displaystyle\frac{\textrm{Tr}\rho_{AB}^{n}\textrm{Tr}\rho_{BC}^{n}}{\textrm{Tr}\rho_{B}^{n}\textrm{Tr}\rho_{ABC}^{n}}=\frac{\langle\mathcal{T}_{n}(w^{\prime}_{2})\mathcal{T}_{n}(\bar{w}^{\prime}_{2})\rangle\langle\mathcal{T}_{n}(w^{\prime}_{1})\mathcal{T}_{n}(\bar{w}^{\prime}_{1})\mathcal{T}_{n}(w^{\prime}_{2})\mathcal{T}_{n}(\bar{w}^{\prime}_{2})\mathcal{T}_{n}(w^{\prime}_{3})\mathcal{T}_{n}(\bar{w}^{\prime}_{3})\rangle}{\langle\mathcal{T}_{n}(w^{\prime}_{1})\mathcal{T}_{n}(\bar{w}^{\prime}_{1})\mathcal{T}(w^{\prime}_{2})\mathcal{T}(\bar{w}^{\prime}_{2})\rangle\langle\mathcal{T}_{n}(w^{\prime}_{2})\mathcal{T}_{n}(\bar{w}^{\prime}_{2})\mathcal{T}_{n}(w^{\prime}_{3})\mathcal{T}_{n}(\bar{w}^{\prime}_{3})\rangle}. (S33)

Since this involves a six-point function of 𝒯n\mathcal{T}_{n}, global conformal invariance dictates that it should be a function of three cross ratios constructed out of wj,w¯j(j=1,2,3)w^{\prime}_{j},\bar{w}^{\prime}_{j}\ (j=1,2,3) [74],

TrρABnTrρBCnTrρBnTrρABCn=F(η1,η2,η3),\displaystyle\frac{\textrm{Tr}\rho_{AB}^{n}\textrm{Tr}\rho_{BC}^{n}}{\textrm{Tr}\rho_{B}^{n}\textrm{Tr}\rho_{ABC}^{n}}=F^{\prime}(\eta^{\prime}_{1},\eta^{\prime}_{2},\eta^{\prime}_{3}), (S34)

where

η1\displaystyle\eta^{\prime}_{1} =(w1w¯1)(w2w¯2)(w1w2)(w¯1w¯2)=sin(πx1/L)sin(πx2/L)sin2[π(x1x2)/2L],\displaystyle=\frac{(w^{\prime}_{1}-\bar{w}^{\prime}_{1})(w^{\prime}_{2}-\bar{w}^{\prime}_{2})}{(w^{\prime}_{1}-w^{\prime}_{2})(\bar{w}^{\prime}_{1}-\bar{w}^{\prime}_{2})}=\frac{\sin(\pi x_{1}/L)\sin(\pi x_{2}/L)}{\sin^{2}[\pi(x_{1}-x_{2})/2L]}, (S35)
η2\displaystyle\eta^{\prime}_{2} =(w2w¯2)(w3w¯3)(w2w3)(w¯2w¯3)=sin(πx2/L)sin(πx3/L)sin2[π(x2x3)/2L],\displaystyle=\frac{(w^{\prime}_{2}-\bar{w}^{\prime}_{2})(w^{\prime}_{3}-\bar{w}^{\prime}_{3})}{(w^{\prime}_{2}-w^{\prime}_{3})(\bar{w}^{\prime}_{2}-\bar{w}^{\prime}_{3})}=\frac{\sin(\pi x_{2}/L)\sin(\pi x_{3}/L)}{\sin^{2}[\pi(x_{2}-x_{3})/2L]}, (S36)
η3\displaystyle\eta^{\prime}_{3} =(w1w¯1)(w3w¯3)(w1w3)(w¯1w¯3)=sin(πx1/L)sin(πx3/L)sin2[π(x1x3)/2L].\displaystyle=\frac{(w^{\prime}_{1}-\bar{w}^{\prime}_{1})(w^{\prime}_{3}-\bar{w}^{\prime}_{3})}{(w^{\prime}_{1}-w^{\prime}_{3})(\bar{w}^{\prime}_{1}-\bar{w}^{\prime}_{3})}=\frac{\sin(\pi x_{1}/L)\sin(\pi x_{3}/L)}{\sin^{2}[\pi(x_{1}-x_{3})/2L]}. (S37)

For the partition of the system into four segments of the equal length L/4L/4, the cross ratios become η1=η2=2/(21)\eta^{\prime}_{1}=\eta^{\prime}_{2}=2/(\sqrt{2}-1) and η3=1\eta^{\prime}_{3}=1. Since they are independent of the system size LL, the topological entanglement entropy obtained by the logarithm of Eq. (S34) is also independent of LL.

Now, let us investigate our monitored circuits. We show that the behaviors of the bipartite mutual information and topological entanglement entropy for our circuits are consistent with those for the CFT described above. In Fig. S2(a) and (b), we plot the bipartite mutual information and topological entanglement entropy for the measurement-only circuit with J=0J=0 for L=16,32,L=16,32, and 6464, respectively. The bipartite mutual information shows a broad peak in the vicinity of μe=0.5\mu_{e}=0.5, and the values of the curves of different system sizes at μe=0.5\mu_{e}=0.5 are close. The topological entanglement entropy shows a clear crossing in the vicinity of μe=0.5\mu_{e}=0.5. These results imply that the topological transition occurs at μe0.5\mu_{e}\simeq 0.5.

In Fig. S2(c) and (d), we plot I2(A:B)I_{2}(A:B) and StopoS^{\mathrm{topo}} for the circuit with unitary dynamics J=0.5J=0.5 for L=16,32,L=16,32, and 6464, respectively. Both quantities appear to show two scale-invariant points at μe0.4\mu_{e}\simeq 0.4 and 0.60.6, indicating the entanglement transitions between the topological/trivial area-law phase and the critical phase. While the crossing points of I2(A:B)I_{2}(A:B) drift as the system size increases due to the large finite size effect, different curves of StopoS^{\mathrm{topo}} clearly collapse to a single point at μe0.4\mu_{e}\simeq 0.4 and 0.60.6. From these data, we have roughly determined the location of the entanglement transitions as μe0.4\mu_{e}\simeq 0.4 and 0.60.6. Note that Ref. [51] argued that the phase transitions between the area-law phases and critical phase for weakly monitored Majorana fermions are described by a scale-invariant theory, which is also consistent with our results.

III Lyapunov gap and dynamics of topological invariant

Refer to caption
Figure S3: The lowest non-negative Lyapunov spectrum with respect to LL for the circuit with J=0J=0 under the (a) OBC, (b) PBC, and (c) APBC; and with J=0.5J=0.5 under the (d) OBC, (e) PBC, and (f) APBC. Each black dashed line in panels (a,b,d,e) represents a trend proportional to 1/L1/L.

In this section, we first study the scaling form of the lowest non-negative single-particle Lyapunov spectrum z1z_{1} with respect to system sizes LL. The z1z_{1} is particularly important because it corresponds to the lowest energy gap of the many-body effective Hamiltonian ^eff,T(𝒔)\hat{\mathcal{H}}_{\mathrm{eff},T}(\bm{s}) for large TT.

In Fig. S3(a,d), we show z1z_{1} against L=4,8,16,32L=4,8,16,32, and 6464 in the monitored circuit under the OBC with (a) J=0J=0 and (d) J=0.5J=0.5. In the measurement-only case (J=0J=0), z1z_{1} shows a decay faster than the power law in the topological phase (μe0.5)\mu_{e}\lesssim 0.5), while it flows towards a finite value in the trivial area-law phase. These results are similar in the presence of unitary dynamics (J=0.5J=0.5) as well, while z1z_{1} appears to decay slowly even in the trivial area-law phase for our available system sizes. At the topological transition (μe0.5)\mu_{e}\simeq 0.5) in the measurement-only circuit, z1z_{1} shows a power-law decay with its exponent close to 1-1. We can see a similar behavior in the circuit with unitary evolution, while we cannot conclude the true scaling form especially inside the critical phase (0.4μe0.6)0.4\lesssim\mu_{e}\lesssim 0.6).

Next, the spectrum z1z_{1} in the monitored circuit under the PBC with J=0J=0 and 0.50.5 are plotted in Fig. S3(b) and (e), respectively. In the main text, we have discussed the relaxation time of the topological invariant τrelax\tau_{\mathrm{relax}}. As z1z_{1} corresponds to the many-body gap of the effective Hamiltonian, it characterizes the timescale of the relaxation, i.e., τrelax1/z1\tau_{\mathrm{relax}}\gtrsim{1/z_{1}}. Here, we can see that z1z_{1} scales as 1/L1/L near the phase boundaries, while it shows a decay slightly faster than 1/L1/L inside the critical phase, leading to τrelax𝒪(L)\tau_{\mathrm{relax}}\sim\mathcal{O}(L) at the transition points and τrelax>𝒪(L)\tau_{\mathrm{relax}}>\mathcal{O}(L) inside the critical phase. On the other hand, as z1z_{1} decays slower than 1/L1/L (or does not decay with respect to LL) in the topological and trivial area-law phases, we can conclude τrelax<𝒪(L)\tau_{\mathrm{relax}}<\mathcal{O}(L). These features can also be seen in the monitored circuit under the APBC except for μe=0.5\mu_{e}=0.5, as shown in Fig. S3(c,f).

Refer to caption
Figure S4: Time series of the topological invariant χT\chi_{T} for L=64L=64 with (a) J=0J=0 and (b) J=0.5J=0.5 averaged over 10001000 trajectories.

The above argument on the timescale is numerically confirmed by the time series of the topological invariant χT\chi_{T} in the circuits with J=0J=0 and 0.50.5 as shown in Fig. S4(a) and (b), respectively. In the measurement-only circuit, as z1z_{1} for the PBC and APBC become finite except for μe0.5\mu_{e}\simeq 0.5, χT\chi_{T} rapidly converges to ±1\pm 1 for T=𝒪(L)T=\mathcal{O}(L). On the other hand, in the circuit with J=0.5J=0.5, χT\chi_{T} rapidly converges to ±1\pm 1 for T=𝒪(L)T=\mathcal{O}(L) in the area-law phases with μe0.4\mu_{e}\lesssim 0.4 or μe0.6\mu_{e}\gtrsim 0.6, where z1z_{1} shows a decay slower than 1/L1/L (or no decay), while it takes much longer time to converge inside the critical phase.

Finally, let us discuss μe=0.5\mu_{e}=0.5. For both cases with J=0J=0 and 0.50.5, Fig. S3(c,f) shows that z1z_{1} at μe=0.5\mu_{e}=0.5 is about ten times smaller than those at the other μe\mu_{e}. This implies that there exists an exact gap closing in the APBC circuit near μe=0.5\mu_{e}=0.5. Because of the small z1z_{1}, τrelax\tau_{\mathrm{relax}} becomes much longer at this point. This leads to the fact that χT\chi_{T} with μe=0.5\mu_{e}=0.5 takes a value close to zero for much longer times than those with the other values of μe\mu_{e}, as shown in Fig. S4.