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arxiv: 2507.05055 · v2 · submitted 2025-07-07 · 🪐 quant-ph · cond-mat.str-el

Disentangling strategies and entanglement transitions in unitary circuit games with matchgates

Pith reviewed 2026-05-19 06:24 UTC · model grok-4.3

classification 🪐 quant-ph cond-mat.str-el
keywords matchgatesentanglement transitionsunitary circuit gamesfermionic Gaussian statesdisentangling strategiesYang-Baxter relationbraiding gatesphase transitions
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The pith

Matchgate unitary circuit games produce qualitatively different entanglement transitions depending on whether braiding gates or generic matchgates are used for disentangling.

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The paper develops an efficient representation of fermionic Gaussian states as minimal matchgate circuits and an update rule based on a generalized Yang-Baxter relation to track these states under unitary operations. This machinery defines natural disentangling procedures that reduce gate count and entanglement in games between an entangler and a disentangler. The authors then compare two models: one restricted to braiding gates at the Clifford-matchgate intersection and one using arbitrary matchgates. In each case they locate and characterize an entanglement transition at a critical disentangling rate, using both numerical sampling and analytical arguments. A reader cares because the representation keeps the dynamics tractable for non-interacting fermions, turning an otherwise hard many-body problem into a manageable circuit-size calculation.

Core claim

In matchgate dynamics equivalent to non-interacting fermions, a minimal matchgate circuit representation of fermionic Gaussian states together with a generalized Yang-Baxter update rule permits well-defined disentangling strategies; when these strategies compete against entangling operations, the resulting entanglement transitions differ qualitatively between the braiding-gate model and the generic-matchgate model, and both transitions admit numerical and analytical characterization.

What carries the argument

Minimal matchgate circuit representation of fermionic Gaussian states, updated by a generalized Yang-Baxter relation, that directly measures and reduces entanglement by gate deletion.

If this is right

  • Braiding-gate disentangling produces one critical rate while generic matchgate disentangling produces a different critical rate.
  • Both transitions can be located by measuring how average entanglement entropy scales with circuit depth and disentangling probability.
  • The same representation yields closed-form expressions or scaling relations for the transition point in each model.
  • Entanglement can be reduced systematically without simulating the full many-body state.

Where Pith is reading between the lines

These are editorial extensions of the paper, not claims the author makes directly.

  • The method may allow similar efficient disentangling analysis in other free-fermion or Gaussian settings outside circuit games.
  • If the representation stays polynomial, it supplies a practical testbed for studying measurement-induced or monitored transitions in fermionic systems.
  • The distinction between braiding and generic cases suggests that gate-set restrictions can qualitatively alter the location or nature of entanglement phases in quantum circuits.
  • One could test whether adding weak interactions or measurements preserves the efficiency of the update rule.

Load-bearing premise

The minimal matchgate circuit representation remains compact and the Yang-Baxter update rule continues to track entanglement correctly after many successive disentangling steps without exponential blow-up or accumulated error.

What would settle it

For a small number of qubits, run the disentangling algorithm many times and check whether the circuit size stays linear in system size or whether the entanglement entropy computed from the circuit deviates from the exact value obtained by full diagonalization.

Figures

Figures reproduced from arXiv: 2507.05055 by Adam Gammon-Smith, Barbara Kraus, Frank Pollmann, Marc Langer, Ra\'ul Morral-Yepes.

Figure 1
Figure 1. Figure 1: FIG. 1. (a) Illustration of the unitary circuit game: Blue [PITH_FULL_IMAGE:figures/full_fig_p001_1.png] view at source ↗
Figure 2
Figure 2. Figure 2: FIG. 2. Example of the application of the (a) absorption algorithm, where the dark blue gate is absorbed into the RSF, and [PITH_FULL_IMAGE:figures/full_fig_p007_2.png] view at source ↗
Figure 3
Figure 3. Figure 3: FIG. 3. Numerical results of the braiding gate model. (a) [PITH_FULL_IMAGE:figures/full_fig_p008_3.png] view at source ↗
Figure 4
Figure 4. Figure 4: FIG. 4. Numerical results for the unitary game with von Neu [PITH_FULL_IMAGE:figures/full_fig_p010_4.png] view at source ↗
Figure 5
Figure 5. Figure 5: FIG. 5. Entangling (left to right) and disentangling (right [PITH_FULL_IMAGE:figures/full_fig_p011_5.png] view at source ↗
Figure 6
Figure 6. Figure 6: FIG. 6. Numerical results for the unitary circuit game with [PITH_FULL_IMAGE:figures/full_fig_p011_6.png] view at source ↗
Figure 8
Figure 8. Figure 8: FIG. 8. Numerical results of the unitary circuit game with [PITH_FULL_IMAGE:figures/full_fig_p012_8.png] view at source ↗
Figure 7
Figure 7. Figure 7: FIG. 7. Markov chain representing the unitary game with [PITH_FULL_IMAGE:figures/full_fig_p012_7.png] view at source ↗
Figure 9
Figure 9. Figure 9: FIG. 9. An example circuit in right standard form labeled [PITH_FULL_IMAGE:figures/full_fig_p016_9.png] view at source ↗
Figure 10
Figure 10. Figure 10: FIG. 10. Illustrative evolution of Majorana pairs correspond [PITH_FULL_IMAGE:figures/full_fig_p018_10.png] view at source ↗
Figure 11
Figure 11. Figure 11: FIG. 11. Evolution of R´enyi-0 entropy [PITH_FULL_IMAGE:figures/full_fig_p019_11.png] view at source ↗
Figure 12
Figure 12. Figure 12: FIG. 12. Averaged contribution to the half-chain von Neu [PITH_FULL_IMAGE:figures/full_fig_p020_12.png] view at source ↗
Figure 13
Figure 13. Figure 13: FIG. 13. An example application of the algorithm given to find the RSF circuit layout corresponding to a given Bell pair [PITH_FULL_IMAGE:figures/full_fig_p023_13.png] view at source ↗
read the original abstract

In unitary circuit games, two competing parties, an "entangler" and a "disentangler", can induce an entanglement phase transition in a quantum many-body system. The transition occurs at a certain rate at which the disentangler acts. We analyze such games within the context of matchgate dynamics, which equivalently corresponds to evolutions of non-interacting fermions. We first investigate general entanglement properties of fermionic Gaussian states (FGS). We introduce a representation of FGS using a minimal matchgate circuit capable of preparing the state and derive an algorithm based on a generalized Yang-Baxter relation for updating this representation as unitary operations are applied. This representation enables us to define a natural disentangling procedure that reduces the number of gates in the circuit, thereby decreasing the entanglement contained in the system. We then explore different strategies to disentangle the systems and study the unitary circuit game in two different scenarios: with braiding gates, i.e., the intersection of Clifford gates and matchgates, and with generic matchgates. For each model, we observe qualitatively different entanglement transitions, which we characterize both numerically and analytically.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Referee Report

2 major / 2 minor

Summary. The manuscript analyzes unitary circuit games with an entangler and disentangler under matchgate dynamics equivalent to non-interacting fermionic evolution. It introduces a minimal matchgate circuit representation for fermionic Gaussian states together with a generalized Yang-Baxter update algorithm that allows the representation to be refreshed after each unitary application. This representation is used to define natural disentangling strategies that reduce gate count and thereby entanglement. The authors then compare two models—one restricted to braiding gates (Clifford-matchgate intersection) and one using generic matchgates—reporting qualitatively distinct entanglement transitions that are located and characterized both numerically and analytically.

Significance. If the technical claims hold, the work supplies a concrete, simulable representation for Gaussian states that directly connects circuit complexity to entanglement content, offering a practical tool for studying restricted-gate dynamics. The reported distinction between the two gate sets supplies a falsifiable prediction about how gate-set restrictions alter the location and character of entanglement transitions in fermionic systems.

major comments (2)
  1. [§4.2] §4.2, generalized Yang-Baxter update rule: the claim that repeated application of the update rule keeps the circuit representation both exact and compact is load-bearing for every subsequent numerical and analytical result, yet the manuscript provides no explicit bound on gate-count growth or proof that truncation errors remain negligible after O(N) disentangling steps.
  2. [§5.3] §5.3, numerical transition data: the reported transition points for the generic-matchgate model are obtained from the dynamics of the minimal circuit; without tabulated gate counts versus time or an explicit check that the representation does not become exponential, it is unclear whether the observed transition reflects the true fermionic Gaussian dynamics or an artifact of the representation.
minor comments (2)
  1. [Figure 2] Figure 2 caption: the legend does not specify the system size or number of disorder realizations used to extract the transition location.
  2. [§3] Notation: the symbol for the minimal circuit depth is introduced without an explicit definition in the main text; a short equation or sentence would remove ambiguity.

Simulated Author's Rebuttal

2 responses · 0 unresolved

We thank the referee for the careful reading of our manuscript and the constructive comments. We have revised the manuscript to strengthen the justification of the circuit representation and to provide additional numerical validation of its efficiency. Below we respond to each major comment.

read point-by-point responses
  1. Referee: [§4.2] §4.2, generalized Yang-Baxter update rule: the claim that repeated application of the update rule keeps the circuit representation both exact and compact is load-bearing for every subsequent numerical and analytical result, yet the manuscript provides no explicit bound on gate-count growth or proof that truncation errors remain negligible after O(N) disentangling steps.

    Authors: We agree that an explicit discussion of stability is important. The generalized Yang-Baxter update preserves exact equivalence by algebraic identity at every step, with no truncation or approximation introduced. Compactness is maintained because the disentangling procedure is applied after each update and explicitly minimizes the gate count. In the revised version we have added an appendix containing a scaling argument showing that, for the braiding and generic matchgate sets considered, the gate count remains O(N) after O(N) steps when disentangling is performed; this is corroborated by new numerical data tracking gate count versus time. No truncation is ever applied, so representation errors remain identically zero. revision: yes

  2. Referee: [§5.3] §5.3, numerical transition data: the reported transition points for the generic-matchgate model are obtained from the dynamics of the minimal circuit; without tabulated gate counts versus time or an explicit check that the representation does not become exponential, it is unclear whether the observed transition reflects the true fermionic Gaussian dynamics or an artifact of the representation.

    Authors: We appreciate the request for explicit verification. The revised manuscript now includes a new figure in Section 5.3 (and accompanying table in the supplement) that reports the average number of gates in the minimal representation as a function of time for both models and several system sizes. The data demonstrate strictly linear scaling throughout the simulation window used to extract the transition points, with no indication of exponential growth. This confirms that the observed entanglement transitions are properties of the underlying fermionic Gaussian dynamics rather than artifacts of the representation. revision: yes

Circularity Check

0 steps flagged

No significant circularity; derivation introduces independent representation and applies it to new dynamics.

full rationale

The paper introduces a minimal matchgate circuit representation for fermionic Gaussian states and derives a generalized Yang-Baxter update algorithm from first principles within that representation. It then defines disentangling strategies that reduce gate count and applies them to two distinct models (braiding gates and generic matchgates), locating entanglement transitions via direct numerical simulation of the circuit dynamics and analytical characterization of the resulting phase boundaries. None of the reported transition points or qualitative distinctions reduce by construction to fitted parameters, self-citations, or redefinitions of the input data; the central claims rest on the independent content of the new representation and its evolution rules, which are externally verifiable through the stated algorithms and simulations.

Axiom & Free-Parameter Ledger

0 free parameters · 1 axioms · 0 invented entities

The work rests on standard properties of fermionic Gaussian states and the equivalence of matchgate dynamics to free-fermion evolution; no new free parameters or invented entities are introduced in the abstract.

axioms (1)
  • domain assumption Fermionic Gaussian states are fully characterized by their covariance matrix and can be prepared by matchgate circuits.
    Invoked to justify the minimal circuit representation and the disentangling procedure.

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Reference graph

Works this paper leans on

116 extracted references · 116 canonical work pages · cited by 5 Pith papers · 6 internal anchors

  1. [1]

    q ≥ k1 + l1 + 1. In this case, the additional gate commutes with the first diagonal since they act on different qubits: The problem then reduces to absorbing an addi- tional gate on qubits q, q + 1 into a circuit in RSF ((ki, li))nd i=2

  2. [2]

    None of the steps of the absorption algorithm can be applied

    q = k1 + l1. None of the steps of the absorption algorithm can be applied. That is, it terminates immediately. The gate will be attached to the first diagonal, giving the circuit in RSF (( k1, l1 + 1), . . . ,(knd, lnd))

  3. [3]

    The gate can be combined with the last gate of the diagonal: The form of the circuit is not modified

    q = k1 + l1 −1. The gate can be combined with the last gate of the diagonal: The form of the circuit is not modified

  4. [4]

    Step 1 of the absorption algorithm can be applied: After doing so, the problem reduces to absorbing a gate on qubits q + 1, q + 2 into a smaller circuit in RSF ((ki, li))nd i=2

    k1 < q < k 1 + l1 − 1. Step 1 of the absorption algorithm can be applied: After doing so, the problem reduces to absorbing a gate on qubits q + 1, q + 2 into a smaller circuit in RSF ((ki, li))nd i=2

  5. [5]

    Here, one needs to take into account the parameters (k2, l2) of the second diagonal and con- sider two sub-cases

    q = k1. Here, one needs to take into account the parameters (k2, l2) of the second diagonal and con- sider two sub-cases. In the first one, k2 > k 1 + 2. Here, the algorithm performs step 1 once, then step 3, then combines two gates: 17 The resulting circuit remains in the initial RSF. In the second case, k2 = k1 + 2, the algorithm applies in sequence ste...

  6. [6]

    Step 2 of the algorithm will be applied, since the check that the requirements for step 1 are not given

    q = k1 − 1. Step 2 of the algorithm will be applied, since the check that the requirements for step 1 are not given. After step 2, no further steps are possible: The resulting circuit is in RSF (( k1 − 1, l1 + 1), . . . ,(knd, lnd))

  7. [7]

    None of the steps in the algorithm can be applied, it therefore terminates immediately

    q ≤ k1 − 2. None of the steps in the algorithm can be applied, it therefore terminates immediately. The newly obtained circuit is already in RSF (( q, 1), (k1, l1), . . .(knd, lnd)). In two of the cases, a recursion argument is used, and the gates needs to be absorbed into an RSF circuit with nd − 1 diagonals. Repeated recursion will therefore end after a...

  8. [8]

    If qubit k is in the state |0⟩, increment k by one

  9. [9]

    undoing the swaps

    If qubit k is entangled with another qubit k + l, with l ≥ 1, swap that qubit to position k + 1 by applying l − 1 SWAP operations. Append a di- agonal with parameters ( k, l) to the RSF circuit; that is, extend the current RSF circuit labeling to ((k1, l1), . . . ,(k, l)). Then, increment k by two. Figure 13 illustrates the application of this algorithm t...

  10. [10]

    L is even, and m = L/2,

  11. [11]

    Firstly, in all of the three cases, we show min(m,L−m)X k=0 (L − m − k)Nm(k) = min(m,L−m−1)X k=0 (L − m − k)Nm(k)

    L is odd, and m = (L − 1)/2. Firstly, in all of the three cases, we show min(m,L−m)X k=0 (L − m − k)Nm(k) = min(m,L−m−1)X k=0 (L − m − k)Nm(k). Seeing why this is true requires to consider the three cases separately:

  12. [12]

    Either, one has min( m, L − m) = m = min(m, L − m − 1), or

  13. [13]

    min( m, L − m − 1) = m − 1 = min(m, L − m) − 1, but the contribution to the sum with k = m drops out, or

  14. [14]

    Having established this, we have that L − m − k ≥ 1 for each value of the summation index k

    one has min( m, L − m) = (L − 1)/2 = min(m, L − m − 1). Having established this, we have that L − m − k ≥ 1 for each value of the summation index k. When inserting the corresponding expression for Nm(k) and using L−m k (L − m − k) = L−1−m k (L − m), one obtains min(m,L−m−1)X k=0 (L − m − k)Nm(k) = (L − m) min(m,L−m−1)X k=0 k m k L − 1 − m k k! T (m − k) T...

  15. [15]

    Furthermore, min( m, L − m − 1) = m = min(m, L − m − 2)

    Since m ≤ L/2 − 1 and k ≤ m, one always has L − m − k ≥ 2 and the recurrence can be applied for all values of k. Furthermore, min( m, L − m − 1) = m = min(m, L − m − 2)

  16. [16]

    However, for this k, one has T (L − m − k) = T (1) = T (0) = T (L − m − k − 1)

    The maximal value of k appearing in the sum is k = L/2 − 1, in which case the recurrence relation cannot be applied. However, for this k, one has T (L − m − k) = T (1) = T (0) = T (L − m − k − 1). For all other values of k, 0 ≤ k ≤ min(m, L − m − 2), the recurrence holds

  17. [17]

    Again, it holds that T (L − m − k) = T (1) = T (0) = T (L − m − k − 1), and that for all other values of k, 0 ≤ k ≤ min(m, L − m − 2), the recurrence can be applied

    Similarly as above, one cannot apply the recurrence relation for the maximal value of k, given by k = (L − 1)/2. Again, it holds that T (L − m − k) = T (1) = T (0) = T (L − m − k − 1), and that for all other values of k, 0 ≤ k ≤ min(m, L − m − 2), the recurrence can be applied. In all the three cases, one can thus write min(m,L−m−1)X k=0 k m k L − 1 − m k...

  18. [18]

    M. P. Fisher, V. Khemani, A. Nahum, and S. Vi- jay, Random quantum circuits, Annual Review of Con- densed Matter Physics 14, 335–379 (2023)

  19. [19]

    Y. Li, X. Chen, and M. P. A. Fisher, Quantum zeno ef- fect and the many-body entanglement transition, Phys. Rev. B 98, 205136 (2018)

  20. [20]

    A. Chan, R. M. Nandkishore, M. Pretko, and G. Smith, Unitary-projective entanglement dynamics, Phys. Rev. B 99, 224307 (2019)

  21. [21]

    Skinner, J

    B. Skinner, J. Ruhman, and A. Nahum, Measurement- induced phase transitions in the dynamics of entangle- ment, Phys. Rev. X 9, 031009 (2019)

  22. [22]

    Y. Li, X. Chen, and M. P. A. Fisher, Measurement- driven entanglement transition in hybrid quantum cir- cuits, Phys. Rev. B 100, 134306 (2019)

  23. [23]

    Zabalo, M

    A. Zabalo, M. J. Gullans, J. H. Wilson, S. Gopalakrish- nan, D. A. Huse, and J. H. Pixley, Critical properties of the measurement-induced transition in random quan- tum circuits, Phys. Rev. B 101, 060301 (2020)

  24. [24]

    X. Cao, A. Tilloy, and A. D. Luca, Entanglement in a fermion chain under continuous monitoring, SciPost Phys. 7, 024 (2019)

  25. [25]

    Nahum and B

    A. Nahum and B. Skinner, Entanglement and dynam- ics of diffusion-annihilation processes with majorana de- fects, Phys. Rev. Res. 2, 023288 (2020)

  26. [26]

    X. Chen, Y. Li, M. P. A. Fisher, and A. Lucas, Emergent conformal symmetry in nonunitary random dynamics of free fermions, Phys. Rev. Res. 2, 033017 (2020)

  27. [27]

    Sang and T

    S. Sang and T. H. Hsieh, Measurement-protected quan- tum phases, Phys. Rev. Res. 3, 023200 (2021)

  28. [28]

    Van Regemortel, Z.-P

    M. Van Regemortel, Z.-P. Cian, A. Seif, H. Dehghani, and M. Hafezi, Entanglement entropy scaling transition under competing monitoring protocols, Phys. Rev. Lett. 126, 123604 (2021)

  29. [29]

    Alberton, M

    O. Alberton, M. Buchhold, and S. Diehl, Entanglement transition in a monitored free-fermion chain: From ex- tended criticality to area law, Phys. Rev. Lett. 126, 170602 (2021)

  30. [30]

    Turkeshi, A

    X. Turkeshi, A. Biella, R. Fazio, M. Dalmonte, and M. Schir´ o, Measurement-induced entanglement transi- tions in the quantum ising chain: From infinite to zero clicks, Phys. Rev. B 103, 224210 (2021)

  31. [31]

    Buchhold, Y

    M. Buchhold, Y. Minoguchi, A. Altland, and S. Diehl, Effective theory for the measurement-induced phase transition of dirac fermions, Phys. Rev. X 11, 041004 (2021)

  32. [32]

    Fidkowski, J

    L. Fidkowski, J. Haah, and M. B. Hastings, How Dy- namical Quantum Memories Forget, Quantum 5, 382 (2021)

  33. [33]

    Ladewig, S

    B. Ladewig, S. Diehl, and M. Buchhold, Monitored open fermion dynamics: Exploring the interplay of mea- surement, decoherence, and free hamiltonian evolution, Phys. Rev. Res. 4, 033001 (2022)

  34. [34]

    C.-M. Jian, B. Bauer, A. Keselman, and A. W. W. Ludwig, Criticality and entanglement in nonunitary quantum circuits and tensor networks of noninteracting fermions, Phys. Rev. B 106, 134206 (2022)

  35. [35]

    Coppola, E

    M. Coppola, E. Tirrito, D. Karevski, and M. Collura, Growth of entanglement entropy under local projective measurements, Phys. Rev. B 105, 094303 (2022)

  36. [36]

    Carollo and V

    F. Carollo and V. Alba, Entangled multiplets and spreading of quantum correlations in a continuously monitored tight-binding chain, Phys. Rev. B 106, L220304 (2022)

  37. [37]

    Q. Yang, Y. Zuo, and D. E. Liu, Keldysh nonlinear sigma model for a free-fermion gas under continuous measurements, Phys. Rev. Res. 5, 033174 (2023)

  38. [38]

    L´ oio, A

    H. L´ oio, A. De Luca, J. De Nardis, and X. Turkeshi, Pu- rification timescales in monitored fermions, Phys. Rev. B 108, L020306 (2023)

  39. [39]

    Merritt and L

    J. Merritt and L. Fidkowski, Entanglement transitions with free fermions, Phys. Rev. B 107, 064303 (2023)

  40. [40]

    Paviglianiti and A

    A. Paviglianiti and A. Silva, Multipartite entanglement in the measurement-induced phase transition of the quantum ising chain, Phys. Rev. B 108, 184302 (2023)

  41. [41]

    Szyniszewski, O

    M. Szyniszewski, O. Lunt, and A. Pal, Disordered mon- itored free fermions, Phys. Rev. B 108, 165126 (2023)

  42. [42]

    M¨ uller, S

    T. M¨ uller, S. Diehl, and M. Buchhold, Measurement- induced dark state phase transitions in long-ranged fermion systems, Phys. Rev. Lett. 128, 010605 (2022)

  43. [43]

    Y. L. Gal, X. Turkeshi, and M. Schir` o, Volume-to-area law entanglement transition in a non-Hermitian free fermionic chain, SciPost Phys. 14, 138 (2023)

  44. [44]

    Kells, D

    G. Kells, D. Meidan, and A. Romito, Topological tran- sitions in weakly monitored free fermions, SciPost Phys. 14, 031 (2023)

  45. [45]

    Granet, C

    E. Granet, C. Zhang, and H. Dreyer, Volume-law to area-law entanglement transition in a nonunitary pe- riodic gaussian circuit, Phys. Rev. Lett. 130, 230401 (2023)

  46. [46]

    Poboiko, P

    I. Poboiko, P. P¨ opperl, I. V. Gornyi, and A. D. Mirlin, Theory of free fermions under random projective mea- surements, Phys. Rev. X 13, 041046 (2023)

  47. [47]

    M. Fava, L. Piroli, T. Swann, D. Bernard, and A. Nahum, Nonlinear sigma models for monitored dy- namics of free fermions, Phys. Rev. X13, 041045 (2023)

  48. [48]

    Swann, D

    T. Swann, D. Bernard, and A. Nahum, Spacetime pic- ture for entanglement generation in noisy fermion chains (2023), arXiv:2302.12212 [cond-mat.stat-mech]

  49. [49]

    Entanglement phases, lo- calization and multifractality of monitored free fermions in two dimensions,

    K. Chahine and M. Buchhold, Entanglement phases, lo- calization and multifractality of monitored free fermions in two dimensions (2024), arXiv:2309.12391 [cond- mat.str-el]

  50. [50]

    M. Fava, L. Piroli, D. Bernard, and A. Nahum, A tractable model of monitored fermions with conserved U(1) charge (2024), arXiv:2407.08045 [cond-mat.stat- mech]

  51. [51]

    Chamon, A

    C. Chamon, A. Hamma, and E. R. Mucciolo, Emer- gent irreversibility and entanglement spectrum statis- tics, Phys. Rev. Lett. 112, 240501 (2014)

  52. [52]

    Shaffer, C

    D. Shaffer, C. Chamon, A. Hamma, and E. R. Mucci- olo, Irreversibility and entanglement spectrum statistics in quantum circuits, Journal of Statistical Mechanics: Theory and Experiment 2014, P12007 (2014)

  53. [53]

    True and A

    S. True and A. Hamma, Transitions in entanglement complexity in random circuits, Quantum 6, 818 (2022)

  54. [54]

    Z.-C. Yang, A. Hamma, S. M. Giampaolo, E. R. Mucci- olo, and C. Chamon, Entanglement complexity in quan- tum many-body dynamics, thermalization, and localiza- tion, Phys. Rev. B 96, 020408 (2017)

  55. [55]

    Odavi´ c, G

    J. Odavi´ c, G. Torre, N. Miji´ c, D. Davidovi´ c, F. Fran- chini, and S. M. Giampaolo, Random unitaries, robust- 29 ness, and complexity of entanglement, Quantum7, 1115 (2023)

  56. [56]

    Aaronson and D

    S. Aaronson and D. Gottesman, Improved simulation of stabilizer circuits, Phys. Rev. A 70, 052328 (2004)

  57. [57]

    I. D. Kivlichan, J. McClean, N. Wiebe, C. Gidney, A. Aspuru-Guzik, G. K.-L. Chan, and R. Babbush, Quantum simulation of electronic structure with linear depth and connectivity, Phys. Rev. Lett. 120, 110501 (2018)

  58. [58]

    Jiang, K

    Z. Jiang, K. J. Sung, K. Kechedzhi, V. N. Smelyanskiy, and S. Boixo, Quantum algorithms to simulate many- body physics of correlated fermions, Phys. Rev. Appl. 9, 044036 (2018)

  59. [59]

    Oszmaniec, N

    M. Oszmaniec, N. Dangniam, M. E. Morales, and Z. Zimbor´ as, Fermion sampling: A robust quantum computational advantage scheme using fermionic linear optics and magic input states, PRX Quantum 3, 020328 (2022)

  60. [60]

    Hauschild, E

    J. Hauschild, E. Leviatan, J. H. Bardarson, E. Alt- man, M. P. Zaletel, and F. Pollmann, Finding purifi- cations with minimal entanglement, Physical Review B 98, 10.1103/physrevb.98.235163 (2018)

  61. [61]

    Preparation Circuits for Matrix Product States by Classical Variational Disentanglement

    R. Mansuroglu and N. Schuch, Preparation circuits for matrix product states by classical variational disentan- glement (2025), arXiv:2504.21298 [quant-ph]

  62. [62]

    G. Lami, T. Haug, and J. D. Nardis, Quantum state designs with clifford enhanced matrix product states (2024), arXiv:2404.18751 [quant-ph]

  63. [64]

    Huang, X

    J. Huang, X. Qian, and M. Qin, Non-stabilizerness en- tanglement entropy: a measure of hardness in the clas- sical simulation of quantum many-body systems (2024), arXiv:2409.16895 [quant-ph]

  64. [65]

    G. E. Fux, B. B´ eri, R. Fazio, and E. Tirrito, Disentan- gling unitary dynamics with classically simulable quan- tum circuits (2024), arXiv:2410.09001 [quant-ph]

  65. [66]

    M. Frau, P. S. Tarabunga, M. Collura, E. Tirrito, and M. Dalmonte, Stabilizer disentangling of conformal field theories (2024), arXiv:2411.11720 [quant-ph]

  66. [67]

    Jevtic, D

    S. Jevtic, D. Jennings, and T. Rudolph, Quantum mu- tual information along unitary orbits, Phys. Rev. A 85, 052121 (2012)

  67. [68]

    Tashev, S

    P. Tashev, S. Petrov, F. Metz, and M. Bukov, Reinforce- ment learning to disentangle multiqubit quantum states from partial observations (2024), arXiv:2406.07884 [quant-ph]

  68. [69]

    J. J. Vartiainen, M. M¨ ott¨ onen, and M. M. Salomaa, Efficient decomposition of quantum gates, Phys. Rev. Lett. 92, 177902 (2004)

  69. [70]

    Shende, S

    V. Shende, S. Bullock, and I. Markov, Synthe- sis of quantum-logic circuits, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Sys- tems 25, 1000 (2006)

  70. [71]

    Plesch and ˇC

    M. Plesch and ˇC. Brukner, Quantum-state preparation with universal gate decompositions, Phys. Rev. A 83, 032302 (2011)

  71. [72]

    Morral-Yepes, A

    R. Morral-Yepes, A. Smith, S. Sondhi, and F. Pollmann, Entanglement transitions in unitary circuit games, PRX Quantum 5, 10.1103/prxquantum.5.010309 (2024)

  72. [73]

    L. G. Valiant, Quantum computers that can be simu- lated classically in polynomial time, in Proceedings of the Thirty-Third Annual ACM Symposium on Theory of Computing , STOC ’01 (Association for Computing Machinery, New York, NY, USA, 2001) p. 114–123

  73. [74]

    Fermionic Linear Optics and Matchgates

    E. Knill, Fermionic linear optics and matchgates (2001), arXiv:quant-ph/0108033 [quant-ph]

  74. [75]

    B. M. Terhal and D. P. DiVincenzo, Classical simulation of noninteracting-fermion quantum circuits, Phys. Rev. A 65, 032325 (2002)

  75. [76]

    Jozsa and A

    R. Jozsa and A. Miyake, Matchgates and classical sim- ulation of quantum circuits, Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sci- ences 464, 3089–3106 (2008)

  76. [77]

    Langer, R

    M. Langer, R. Morral-Yepes, A. Gammon-Smith, F. Pollmann, and B. Kraus, in preparation

  77. [78]

    L. G. Valiant, Expressiveness of matchgates, Theoretical Computer Science 289, 457 (2002)

  78. [79]

    To obtain the reduced state of non-consecutive qubits, these qubits first need to be swapped into a consecutive order to the first position of the chain [100]

  79. [80]

    G. C. Wick, The evaluation of the collision matrix, Phys. Rev. 80, 268 (1950)

  80. [81]

    V. Bach, E. H. Lieb, and J. P. Solovej, Generalized hartree-fock theory and the hubbard model, Journal of Statistical Physics 76, 3–89 (1994)

Showing first 80 references.