pith. machine review for the scientific record. sign in

arxiv: 2605.13008 · v1 · submitted 2026-05-13 · 🪐 quant-ph

Recognition: no theorem link

Quantum dynamics of two XX interacting PT-symmetric non-Hermitian qubits: enhancement of quantum annealing

Authors on Pith no claims yet

Pith reviewed 2026-05-14 19:15 UTC · model grok-4.3

classification 🪐 quant-ph
keywords PT-symmetric qubitsnon-Hermitian dynamicsquantum annealingXX couplingground state probabilitysymmetry breaking
0
0 comments X

The pith

Adding small PT-symmetric non-Hermitian terms to two interacting qubits greatly enhances the probability of reaching the ground state in quantum annealing.

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

This paper examines a minimal model of two XX-coupled PT-symmetric non-Hermitian qubits to study their dynamics for quantum annealing. It shows that even tiny PT-symmetric non-Hermitian terms added to the Hamiltonian raise the chance of landing in the ground state once the annealing schedule ends. The analysis covers both stationary and time-dependent cases in symmetry-preserving and symmetry-broken regimes. A sympathetic reader would care because quantum annealing targets hard optimization tasks and this change could improve success rates on platforms where single non-Hermitian qubits have already been built. The work fills the gap between single-qubit experiments and interacting non-Hermitian networks.

Core claim

In a minimal model of two interacting XX-coupled PT-symmetric non-Hermitian qubits, adding even tiny PT-symmetric non-Hermitian terms in the qubits Hamiltonian allows to greatly enhance the probability of reaching the ground state after annealing.

What carries the argument

PT-symmetric non-Hermitian terms added to the XX-coupled qubit Hamiltonian that alter the time evolution to favor ground-state convergence during annealing.

If this is right

  • Annealing success probability rises substantially with small non-Hermitian additions.
  • The enhancement appears in both PT-symmetric and PT-broken regimes.
  • Time-dependent Hamiltonians used in annealing benefit directly from these terms.
  • The approach supplies a basis for building networks of interacting non-Hermitian qubits.
  • Coherent dynamics persist in the minimal interacting case.

Where Pith is reading between the lines

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

  • Implementations in superconducting circuits or trapped ions could test the enhancement by balancing engineered gain and loss.
  • The same mechanism might improve annealing in larger qubit arrays for more complex problems.
  • Similar non-Hermitian modifications could be examined in other quantum simulation tasks such as state preparation.

Load-bearing premise

The qubits undergo fully coherent unitary evolution with no decoherence or environmental noise.

What would settle it

An experiment on two physically coupled PT-symmetric qubits that measures the final ground-state probability after a controlled annealing schedule and checks whether it shows the predicted large increase.

Figures

Figures reproduced from arXiv: 2605.13008 by Ilya M. Eremin, Mikhail V. Fistul, Yana Komissarova.

Figure 1
Figure 1. Figure 1: FIG. 1: Schematic representation of two [PITH_FULL_IMAGE:figures/full_fig_p003_1.png] view at source ↗
Figure 2
Figure 2. Figure 2: FIG. 2: Calculated normalized energy spectrum Re[ [PITH_FULL_IMAGE:figures/full_fig_p004_2.png] view at source ↗
Figure 3
Figure 3. Figure 3: FIG. 3: Calculated energy spectrum of the effective Hamiltonian ( [PITH_FULL_IMAGE:figures/full_fig_p005_3.png] view at source ↗
Figure 4
Figure 4. Figure 4: FIG. 4: Calculated time evolution of the relative population probabilities [PITH_FULL_IMAGE:figures/full_fig_p006_4.png] view at source ↗
Figure 5
Figure 5. Figure 5: FIG. 5: The energy difference between exact eigenvalues of the effective Hamiltonian ( [PITH_FULL_IMAGE:figures/full_fig_p007_5.png] view at source ↗
Figure 6
Figure 6. Figure 6: FIG. 6: Evolution of the relative population probability [PITH_FULL_IMAGE:figures/full_fig_p007_6.png] view at source ↗
Figure 7
Figure 7. Figure 7: FIG. 7: Evolution of the relative population probability [PITH_FULL_IMAGE:figures/full_fig_p008_7.png] view at source ↗
Figure 8
Figure 8. Figure 8: FIG. 8: Numerically (a) and analytically (b) calculated dependencies of the population probability [PITH_FULL_IMAGE:figures/full_fig_p008_8.png] view at source ↗
Figure 9
Figure 9. Figure 9: FIG. 9: Numerically (a) and analytically (b) calculated dependencies of the population probability [PITH_FULL_IMAGE:figures/full_fig_p009_9.png] view at source ↗
Figure 10
Figure 10. Figure 10: FIG. 10: The dependencies of the probability to be in the ground state of the Hamiltonian [PITH_FULL_IMAGE:figures/full_fig_p010_10.png] view at source ↗
read the original abstract

Quantum information platforms enable analog quantum simulations, such as quantum annealing, offering a promising route to solving complex combinatorial optimization problems. Here, we propose a quantum information architecture based on networks of interacting parity-time (PT)-symmetric non-Hermitian qubits. While the dynamics of individual PT-symmetric qubits have been experimentally demonstrated across multiple platforms including NV centers, superconducting circuits, and trapped-ion systems yet coherent dynamics in interacting systems remain largely unexplored. To address this issue we theoretically investigate stationary and time-dependent Hamiltonians relevant to quantum annealing using a minimal model of two interacting XX-coupled PT-symmetric non-Hermitian qubits. We analyze both symmetry-preserving and symmetry-broken regimes and demonstrate that adding even tiny PT-symmetric non-Hermitian terms in the qubits Hamiltonian allows to greatly enhance the probability of reaching the ground state after annealing.

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

1 major / 2 minor

Summary. The manuscript examines the dynamics of two XX-coupled PT-symmetric non-Hermitian qubits for quantum annealing. It claims that even tiny PT-symmetric non-Hermitian terms added to the Hamiltonian significantly increase the final ground-state probability compared to the Hermitian case, based on direct numerical integration of the time-dependent Schrödinger equation in both unbroken and broken PT phases.

Significance. If the reported enhancement survives consistent treatment of the non-unitary norm, the result would be significant for analog quantum optimization: it suggests a practical route to boosting annealing success probabilities using experimentally accessible non-Hermitian couplings in platforms such as superconducting circuits or trapped ions. The minimal two-qubit model is analytically tractable and provides a concrete starting point for larger networks.

major comments (1)
  1. [Numerical results on annealing dynamics] The central claim (enhancement of ground-state probability) is obtained from numerical solution of i d|ψ>/dt = H(t)|ψ> with non-Hermitian H(t). Because the Euclidean norm is not preserved, the overlap with the instantaneous ground state is ill-defined without an explicit prescription. The manuscript must state whether |ψ(t)> is renormalized at each time step before computing the probability or whether the PT-symmetric inner product ⟨ψ|C|ϕ⟩ is used; without this, the quantitative enhancement cannot be verified and may be an artifact of the chosen convention. This issue is load-bearing for the headline result.
minor comments (2)
  1. [Abstract] The abstract states that the enhancement occurs 'after annealing' but does not specify the annealing schedule, total time T, or the precise definition of the final probability; adding these details would improve reproducibility.
  2. [Figure captions] Figure captions should explicitly note whether the plotted probability uses the standard or PT inner product.

Simulated Author's Rebuttal

1 responses · 0 unresolved

We thank the referee for the positive assessment of our work and for the constructive comment on the numerical procedure. We address the concern below and will revise the manuscript accordingly.

read point-by-point responses
  1. Referee: [Numerical results on annealing dynamics] The central claim (enhancement of ground-state probability) is obtained from numerical solution of i d|ψ>/dt = H(t)|ψ> with non-Hermitian H(t). Because the Euclidean norm is not preserved, the overlap with the instantaneous ground state is ill-defined without an explicit prescription. The manuscript must state whether |ψ(t)> is renormalized at each time step before computing the probability or whether the PT-symmetric inner product ⟨ψ|C|ϕ⟩ is used; without this, the quantitative enhancement cannot be verified and may be an artifact of the chosen convention. This issue is load-bearing for the headline result.

    Authors: We agree that an explicit statement of the normalization convention is essential for reproducibility. In our simulations the state vector |ψ(t)> is renormalized to unit Euclidean norm after each integration step before the overlap |⟨g(t)|ψ(t)⟩|^2 is evaluated, where |g(t)> is the instantaneous ground state of H(t). This is the standard convention used in the reported data. We will add a dedicated paragraph in the revised manuscript (new subsection on numerical methods) that states the renormalization step explicitly, gives the relevant formula, and briefly justifies the choice. For completeness we have also recomputed the annealing trajectories with the PT-symmetric inner product ⟨ψ|C|ϕ⟩; the qualitative enhancement survives, although the absolute probabilities shift by a few percent. These additional curves will be included as a supplementary figure. revision: yes

Circularity Check

0 steps flagged

No significant circularity; central claim obtained from direct numerical solution of the time-dependent Schrödinger equation on a small Hilbert space.

full rationale

The paper's demonstration of enhanced ground-state reachability after annealing rests on explicit integration of the Schrödinger equation for the two-qubit XX model, both with and without the added PT-symmetric non-Hermitian terms. This constitutes an independent forward computation rather than any redefinition, parameter fit to the target observable, or reduction to a prior self-citation. No load-bearing uniqueness theorem, ansatz imported via citation, or renaming of known results is invoked to force the outcome. The small system size (4-dimensional space) allows straightforward numerical verification without statistical forcing or self-referential construction. The reader's assessment of low circularity is consistent with this self-contained numerical approach.

Axiom & Free-Parameter Ledger

1 free parameters · 2 axioms · 0 invented entities

The claim rests on the standard Schrödinger equation for a time-dependent two-qubit Hamiltonian whose non-Hermitian PT-symmetric terms are introduced by hand; no new particles or forces are postulated.

free parameters (1)
  • non-Hermitian strength gamma
    Magnitude of the imaginary PT-symmetric term; its small values are scanned to demonstrate enhancement.
axioms (2)
  • standard math Time evolution is governed by the Schrödinger equation i ħ d|ψ>/dt = H(t) |ψ> with time-dependent H(t).
    Invoked implicitly for all dynamical simulations.
  • domain assumption PT symmetry of the non-Hermitian qubit terms is preserved or broken in controlled regimes.
    Central to the classification of dynamics.

pith-pipeline@v0.9.0 · 5448 in / 1285 out tokens · 27229 ms · 2026-05-14T19:15:05.973041+00:00 · methodology

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.

Reference graph

Works this paper leans on

61 extracted references · 61 canonical work pages · 1 internal anchor

  1. [1]

    (5) and can be represented as 4×4 matrix: ˆH=   sϵ(1−s) ∆ 2 (1−s) ∆ 2 0 (1−s) ∆ 2 −2iγ sg(1−s) ∆ 2 (1−s) ∆ 2 sg2iγ(1−s) ∆ 2 0 (1−s) ∆ 2 (1−s) ∆ 2 −sϵ   .(6) III. TWO INTERACTINGPT–SYMMETRIC QUBITS: INSTANTANEOUS ENERGY SPECTRUM The four eigenvalues of thePT––symmetric non- Hermitian Hamiltonian (6) depending on parameters, i.e., theinstantaneousen...

  2. [2]

    Mehta and C

    D. Mehta and C. Grosan, A collection of challenging opti- mization problems in science, engineering and economics, in2015 IEEE Congress on Evolutionary Computation (CEC)(IEEE, 2015) pp. 2697–2704

  3. [3]

    Kirkpatrick, C

    S. Kirkpatrick, C. D. Gelatt, and M. P. Vecchi, Optimiza- tion by simulated annealing, Science220, 671 (1983)

  4. [4]

    Sioshansi, A

    R. Sioshansi, A. J. Conejo,et al., Optimization in en- gineering, Cham: Springer International Publishing120 (2017)

  5. [5]

    G. B. Dantzig and J. H. Ramser, The truck dispatching problem, Management Science6, 80 (1959)

  6. [6]

    S. M. Islam,Mathematical economics of multi-level op- timisation: Theory and application(Springer Science & Business Media, 2012)

  7. [7]

    H. Li, L. Liu, N. Xia, and M. Yu, High-dimensional expected utility portfolios under the spiked covariance model, Finance Research Letters93, 109637 (2026)

  8. [8]

    Lucas, Ising formulations of many np problems, Fron- tiers in physics2, 74887 (2014)

    A. Lucas, Ising formulations of many np problems, Fron- tiers in physics2, 74887 (2014)

  9. [9]

    F. A. Quinton, P. A. S. Myhr, M. Barani, and H. Zhang, Quantum annealing applications, challenges and limita- tions for optimisation problems compared to classical solvers, Scientific Reports15, 12733 (2025)

  10. [10]

    Barzegar, C

    A. Barzegar, C. Pattison, W. Wang, and H. G. Katz- graber, Optimization of population annealing monte carlo for large-scale spin-glass simulations, Physical Re- view E98, 053308 (2018)

  11. [11]

    B. Heim, T. F. Rønnow, S. V. Isakov, and M. Troyer, Quantum versus classical annealing of ising spin glasses, Science348, 215 (2015)

  12. [12]

    Dahrouj, R

    H. Dahrouj, R. Alghamdi, H. Alwazani, S. Bahanshal, A. A. Ahmad, A. Faisal, R. Shalabi, R. Alhadrami, A. Subasi, M. T. Al-Nory,et al., An overview of ma- chine learning-based techniques for solving optimization problems in communications and signal processing, Ieee Access9, 74908 (2021)

  13. [13]

    Alcalde Puente and I

    D. Alcalde Puente and I. M. Eremin, Convolutional re- stricted boltzmann machine aided monte carlo: An ap- plication to ising and kitaev models, Physical Review B 102, 195148 (2020)

  14. [14]

    Ac´ ın, I

    A. Ac´ ın, I. Bloch, H. Buhrman, T. Calarco, C. Eichler, J. Eisert, D. Esteve, N. Gisin, S. J. Glaser, F. Jelezko, et al., The quantum technologies roadmap: a european community view, New Journal of Physics20, 080201 (2018)

  15. [15]

    Farhi and S

    E. Farhi and S. Gutmann, Analog analogue of a digi- tal quantum computation, Physical Review A57, 2403 (1998)

  16. [16]

    Quantum Computation by Adiabatic Evolution

    E. Farhi, J. Goldstone, S. Gutmann, and M. Sipser, Quantum computation by adiabatic evolution, arXiv preprint quant-ph/0001106 (2000)

  17. [17]

    M. Q. Mohammed, H. Meeß, and M. Otte, Review of the application of quantum annealing-related technologies in transportation optimization, Quantum Information Pro- cessing24, 296 (2025)

  18. [18]

    Born and V

    M. Born and V. Fock, Beweis des adiabatensatzes, Zeitschrift f¨ ur Physik51, 165 (1928)

  19. [19]

    M. W. Johnson, M. H. Amin, S. Gildert, T. Lanting, F. Hamze, N. Dickson, R. Harris, A. J. Berkley, J. Jo- hansson, P. Bunyk,et al., Quantum annealing with man- ufactured spins, Nature473, 194 (2011)

  20. [20]

    Boixo, T

    S. Boixo, T. F. Rønnow, S. V. Isakov, Z. Wang, D. Wecker, D. A. Lidar, J. M. Martinis, and M. Troyer, Evidence for quantum annealing with more than one hun- dred qubits, Nature physics10, 218 (2014)

  21. [21]

    A. D. King, J. Carrasquilla, J. Raymond, I. Ozfidan, E. Andriyash, A. Berkley, M. Reis, T. Lanting, R. Harris, F. Altomare,et al., Observation of topological phenom- ena in a programmable lattice of 1,800 qubits, Nature 560, 456 (2018)

  22. [22]

    Bo˙ zejko, R

    W. Bo˙ zejko, R. Klempous, J. Pempera, J. Rozenblit, C. Smutnicki, M. Uchro´ nski, and M. Wodecki, Optimal solving of a scheduling problem using quantum anneal- ing metaheuristics on the d-wave quantum solver, IEEE Transactions on Systems, Man, and Cybernetics: Sys- tems55, 196 (2024)

  23. [23]

    Neukart, G

    F. Neukart, G. Compostella, C. Seidel, D. von Dollen, S. Yarkoni, and B. Parney, Traffic flow optimization using a quantum annealer, Frontiers in ICT4, 29 (2017)

  24. [24]

    Hu, B.-N

    F. Hu, B.-N. Wang, N. Wang, and C. Wang, Quantum machine learning with d-wave quantum computer, Quan- tum Engineering1, e12 (2019)

  25. [25]

    Yarkoni, E

    S. Yarkoni, E. Raponi, T. B¨ ack, and S. Schmitt, Quan- tum annealing for industry applications: Introduction and review, Reports on Progress in Physics85, 104001 (2022)

  26. [26]

    R. K. Nath, H. Thapliyal, and T. S. Humble, A review of machine learning classification using quantum annealing for real-world applications, SN Computer science2, 365 (2021)

  27. [27]

    Banchi, A

    L. Banchi, A. Bayat, P. Verrucchi, and S. Bose, Nonper- turbative entangling gates between distant qubits using uniform cold atom chains, Physical review letters106, 140501 (2011)

  28. [28]

    A. M. Childs, E. Farhi, and J. Preskill, Robustness of adiabatic quantum computation, Physical Review A65, 012322 (2001)

  29. [29]

    M. H. Amin, P. J. Love, and C. Truncik, Thermally as- sisted adiabatic quantum computation, Physical review letters100, 060503 (2008)

  30. [30]

    D. S. Wild, S. Gopalakrishnan, M. Knap, N. Y. Yao, and M. D. Lukin, Adiabatic quantum search in open systems, Physical review letters117, 150501 (2016)

  31. [31]

    A. J. Leggett, S. Chakravarty, A. T. Dorsey, M. P. Fisher, A. Garg, and W. Zwerger, Dynamics of the dissipa- tive two-state system, Reviews of Modern Physics59, 1 (1987)

  32. [32]

    Hu and B

    H. Hu and B. Wu, Optimizing the quantum adiabatic algorithm, Physical Review A93, 012345 (2016)

  33. [33]

    Rezakhani, A

    A. Rezakhani, A. Pimachev, and D. Lidar, Accuracy ver- sus run time in an adiabatic quantum search, Physical Review A—Atomic, Molecular, and Optical Physics82, 052305 (2010)

  34. [34]

    P. R. Hegde, G. Passarelli, A. Scocco, and P. Lucignano, Genetic optimization of quantum annealing, Physical Re- view A105, 012612 (2022)

  35. [35]

    Wu, J.-L

    Q.-C. Wu, J.-L. Zhao, Y.-L. Fang, Y. Zhang, D.-X. Chen, C.-P. Yang, and F. Nori, Extension of Noether’s theorem inPT-symmetry systems and its experimental demon- stration in an optical setup, Sci. China Phys. Mech. As- tron.66, 240312 (2023)

  36. [36]

    G. A. Starkov, M. V. Fistul, and I. M. Eremin, Quan- 13 tum phase transitions in non-hermitian pt-symmetric transverse-field ising spin chains, Annals of Physics456, 169268 (2023)

  37. [37]

    Gu, X.-L

    Y. Gu, X.-L. Hao, and J.-Q. Liang, Generalized gauge transformation with pt pt-symmetric non-unitary opera- tor and classical correspondence of non-hermitian hamil- tonian for a periodically driven system, Annalen der Physik534, 2200069 (2022)

  38. [38]

    C. M. Bender and S. Boettcher, Real spectra in non- hermitian hamiltonians having p t symmetry, Physical review letters80, 5243 (1998)

  39. [39]

    C. M. Bender, S. Boettcher, and P. N. Meisinger, Pt- symmetric quantum mechanics, Journal of Mathematical Physics40, 2201 (1999)

  40. [41]

    A. I. Nesterov, J. C. B. Zepeda, and G. P. Berman, Non- hermitian quantum annealing in the ferromagnetic ising model, Physical Review A—Atomic, Molecular, and Op- tical Physics87, 042332 (2013)

  41. [42]

    A. I. Nesterov, G. P. Berman, J. C. B. Zepeda, and A. R. Bishop, Non-hermitian quantum annealing in the antifer- romagnetic ising chain, Quantum information processing 13, 371 (2014)

  42. [43]

    A. Guo, G. J. Salamo, D. Duchesne, R. Morandotti, M. Volatier-Ravat, V. Aimez, G. A. Siviloglou, and D. N. Christodoulides, Observation of pt-symmetry breaking in complex optical potentials, Physical review letters103, 093902 (2009)

  43. [44]

    Y. Wu, W. Liu, J. Geng, X. Song, X. Ye, C.-K. Duan, X. Rong, and J. Du, Observation of parity-time symme- try breaking in a single-spin system, Science364, 878 (2019)

  44. [45]

    Naghiloo, M

    M. Naghiloo, M. Abbasi, Y. N. Joglekar, and K. Murch, Quantum state tomography across the exceptional point in a single dissipative qubit, Nature Physics15, 1232 (2019)

  45. [46]

    Dogra, A

    S. Dogra, A. A. Melnikov, and G. S. Paraoanu, Quan- tum simulation of parity–time symmetry breaking with a superconducting quantum processor, Communications Physics4, 26 (2021)

  46. [47]

    A. S. Kazmina, I. V. Zalivako, A. S. Borisenko, N. A. Nemkov, A. S. Nikolaeva, I. A. Simakov, A. V. Kuznetsova, E. Y. Egorova, K. P. Galstyan, N. V. Se- menin, A. E. Korolkov, I. N. Moskalenko, N. N. Abramov, I. S. Besedin, D. A. Kalacheva, V. B. Lubsanov, A. N. Bolgar, E. O. Kiktenko, K. Y. Khabarova, A. Galda, I. A. Semerikov, N. N. Kolachevsky, N. Male...

  47. [48]

    L. Ding, K. Shi, Q. Zhang, D. Shen, X. Zhang, and W. Zhang, Experimental determination of pt-symmetric exceptional points in a single trapped ion, Physical Re- view Letters126, 083604 (2021)

  48. [49]

    A. D. King, J. Raymond, T. Lanting, R. Harris, A. Zucca, F. Altomare, A. J. Berkley, K. Boothby, S. Ejtemaee, C. Enderud,et al., Quantum critical dynamics in a 5,000- qubit programmable spin glass, Nature617, 61 (2023)

  49. [50]

    G. A. Starkov, M. V. Fistul, and I. M. Eremin, Quan- tum phase transitions in non-hermitian pt-symmetric transverse-field ising spin chains, Annals of Physics456, 169268 (2023)

  50. [51]

    G. A. Starkov, M. V. Fistul, and I. M. Eremin, Schrieffer- wolff transformation for non-hermitian systems: Appli- cation for pt-symmetric circuit qed, Physical Review B 108, 235417 (2023)

  51. [52]

    C. M. Bender, Making sense of non-hermitian hamiltoni- ans, Reports on Progress in Physics70, 947 (2007)

  52. [53]

    L. D. Landau, Zur theorie der energie¨ ubertragung bei st¨ oßen ii, Physikalische Zeitschrift der Sowjetunion2, 46 (1932)

  53. [54]

    Zener, Non-adiabatic crossing of energy levels, Pro- ceedings of the Royal Society of London

    C. Zener, Non-adiabatic crossing of energy levels, Pro- ceedings of the Royal Society of London. Series A137, 696 (1932)

  54. [55]

    E. C. G. St¨ uckelberg, Theorie der unelastischen st¨ oße zwischen atomen, Helvetica Physica Acta5, 369 (1932)

  55. [56]

    X. Shen, F. Wang, Z. Li, and Z. Wu, Landau- zener-st¨ uckelberg interferometry inPT-symmetric non- hermitian models, Phys. Rev. A100, 062514 (2019)

  56. [57]

    Kivel¨ a, S

    F. Kivel¨ a, S. Dogra, and G. S. Paraoanu, Quantum simu- lation of the pseudo-hermitian landau-zener-st¨ uckelberg- majorana effect, Physical Review Research6, 023246 (2024)

  57. [58]

    Pan and F

    J.-S. Pan and F. Wu, Nonadiabatic transitions in non- hermitian pt-symmetric two-level systems, Physical Re- view A109, 022245 (2024)

  58. [59]

    Erdamar, M

    S. Erdamar, M. Abbasi, W. Chen, N. H¨ ornedal, A. Chenu, and K. W. Murch, Exploring the riemann- surface topology of a non-hermitian superconducting qubit using shortcuts to adiabaticity, PRX Quantum7, 010337 (2026)

  59. [60]

    Kayanuma, Nonadiabatic transitions in level crossing with energy fluctuation

    Y. Kayanuma, Nonadiabatic transitions in level crossing with energy fluctuation. I. analytical investigations, J. Phys. Soc. Jpn.53, 108 (1984)

  60. [61]

    Kayanuma and H

    Y. Kayanuma and H. Nakayama, Nonadiabatic transition at a level crossing with dissipation, Phys. Rev. B57, 13099 (1998)

  61. [62]

    Grifoni and P

    M. Grifoni and P. H¨ anggi, Driven quantum tunneling, Physics Reports304, 229 (1998)