- Open Access
Exploring Noisy Quantum Thermodynamical Processes via the Depolarizing-Channel Approximation
Phys. Rev. Lett. 137, 190401 – Published 2 November, 2026
DOI: https://doi.org/10.1103/wg2x-z2vm
Abstract
Noise and errors are unavoidable in any realistic quantum process, including processes designed to reduce noise and errors in the first place. In particular, quantum thermodynamical protocols for cooling can be significantly affected, potentially altering both their performance and efficiency. Analytically characterizing the impact of such errors becomes increasingly challenging as the system size grows, particularly in deep quantum circuits where noise can accumulate in complex ways. To address this, we introduce a general framework for approximating the cumulative effect of gate-dependent noise using a global depolarizing channel. We specify the regime in which this approximation provides a reliable description of the noisy dynamics. Applying our framework to the thermodynamical two-sort algorithmic cooling (TSAC) protocol, we analytically derive its asymptotic cooling limit in the presence of noise. Using the cooling limit, the optimal cooling performance is achieved by a finite number of qubits—distinguished from the conventional noiseless TSAC protocol by an infinite number of qubits—and fundamental bounds on the achievable ground-state population are derived. This approach opens new avenues for exploring noisy quantum thermodynamical processes.
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References (63)
- D. A. Lidar and T. A. Brun, Quantum Error Correction (Cambridge University Press, Cambridge, 2013).
- B. M. Terhal, Quantum error correction for quantum memories, Rev. Mod. Phys. 87, 307 (2015).
- J. Roffe, Quantum error correction: An introductory guide, Contemp. Phys. 60, 226 (2019).
- J. Preskill, Quantum computing in the NISQ era and beyond, Quantum 2, 79 (2018).
- Google Quantum AI and Collaborators, Quantum error correction below the surface code threshold, Nature (London) 638, 920 (2025).
- A. Kandala, A. Mezzacapo, K. Temme, M. Takita, M. Brink, J. M. Chow, and J. M. Gambetta, Hardware-efficient variational quantum eigensolver for small molecules and quantum magnets, Nature (London) 549, 242 (2017).
- K. Temme, S. Bravyi, and J. M. Gambetta, Error mitigation for short-depth quantum circuits, Phys. Rev. Lett. 119, 180509 (2017).
- S. Endo, S. C. Benjamin, and Y. Li, Practical quantum error mitigation for near-future applications, Phys. Rev. X 8, 031027 (2018).
- L. Funcke, T. Hartung, K. Jansen, S. Kühn, P. Stornati, and X. Wang, Measurement error mitigation in quantum computers through classical bit-flip correction, Phys. Rev. A 105, 062404 (2022).
- Z. Cai, R. Babbush, S. C. Benjamin, S. Endo, W. J. Huggins, Y. Li, J. R. McClean, and T. E. O’Brien, Quantum error mitigation, Rev. Mod. Phys. 95, 045005 (2023).
- Y. Kim, A. Eddins, S. Anand, K. X. Wei, E. van den Berg, S. Rosenblatt, H. Nayfeh, Y. Wu, M. Zaletel, K. Temme, and A. Kandala, Evidence for the utility of quantum computing before fault tolerance, Nature (London) 618, 500 (2023).
- S. Cao et al., Generation of genuine entanglement up to 51 superconducting qubits, Nature (London) 619, 738 (2023).
- S. Guo et al., Experimental quantum computational chemistry with optimized unitary coupled cluster ansatz, Nat. Phys. 20, 1240 (2024).
- D. Reeb and M. M. Wolf, An improved Landauer principle with finite-size corrections, New J. Phys. 16, 103011 (2014).
- F. Clivaz, R. Silva, G. Haack, J. B. Brask, N. Brunner, and M. Huber, Unifying paradigms of quantum refrigeration: A universal and attainable bound on cooling, Phys. Rev. Lett. 123, 170605 (2019).
- P. Taranto, F. Bakhshinezhad, A. Bluhm, R. Silva, N. Friis, Maximilian P. E. Lock, G. Vitagliano, F. C. Binder, T. Debarba, E. Schwarzhans, F. Clivaz, and M. Huber, Landauer versus Nernst: What is the true cost of cooling a quantum system?, PRX Quantum 4, 010332 (2023).
- M. Urbanek, B. Nachman, V. R. Pascuzzi, A. He, C. W. Bauer, and W. A. deJong, Mitigating depolarizing noise on quantum computers with noise-estimation circuits, Phys. Rev. Lett. 127, 270502 (2021).
- J. Vovrosh, K. E. Khosla, S. Greenaway, C. Self, M. S. Kim, and J. Knolle, Simple mitigation of global depolarizing errors in quantum simulations, Phys. Rev. E 104, 035309 (2021).
- Y. Takahashi, Y. Takeuchi, and S. Tani, Classically simulating quantum circuits with local depolarizing noise, in 45th International Symposium on Mathematical Foundations of Computer Science (MFCS 2020), Leibniz International Proceedings in Informatics (LIPIcs), Vol. 170, edited by J. Esparza and D. Král’ (Schloss Dagstuhl—Leibniz-Zentrum für Informatik, Dagstuhl, Germany, 2020), pp. 83:1–83:13.
- A. M. Dalzell, N. Hunter-Jones, and F. G. S. L. Brandão, Random quantum circuits transform local noise into global white noise, Commun. Math. Phys. 405, 78 (2024).
- S. Raeisi, M. Kieferová, and M. Mosca, Novel technique for robust optimal algorithmic cooling, Phys. Rev. Lett. 122, 220501 (2019).
- P. Taranto, F. Bakhshinezhad, P. Schüttelkopf, F. Clivaz, and M. Huber, Exponential improvement for quantum cooling through finite-memory effects, Phys. Rev. Appl. 14, 054005 (2020).
- L. Bassman Oftelie, A. De Pasquale, and M. Campisi, Dynamic cooling on contemporary quantum computers, PRX Quantum 5, 030309 (2024).
- V. Vadimov, J. Tuorila, T. Orell, J. Stockburger, T. Ala-Nissila, J. Ankerhold, and M. Möttönen, Validity of born-Markov master equations for single- and two-qubit systems, Phys. Rev. B 103, 214308 (2021).
- Z. Chen et al., Measuring and suppressing quantum state leakage in a superconducting qubit, Phys. Rev. Lett. 116, 020501 (2016).
- Z. Li, P. Liu, P. Zhao, Z. Mi, H. Xu, X. Liang, T. Su, W. Sun, G. Xue, J.-N. Zhang, W. Liu, Y. Jin, and H. Yu, Error per single-qubit gate below in a superconducting qubit, npj Quantum Inf. 9, 111 (2023).
- V. Tripathi, M. Khezri, and A. N. Korotkov, Operation and intrinsic error budget of a two-qubit cross-resonance gate, Phys. Rev. A 100, 012301 (2019).
- F. Bao et al., Fluxonium: An alternative qubit platform for high-fidelity operations, Phys. Rev. Lett. 129, 010502 (2022).
- J. J. Wallman and J. Emerson, Noise tailoring for scalable quantum computation via randomized compiling, Phys. Rev. A 94, 052325 (2016).
- Z. Cai, X. Xu, and S. C. Benjamin, Mitigating coherent noise using Pauli conjugation, npj Quantum Inf. 6, 17 (2020).
- C. Dankert, R. Cleve, J. Emerson, and E. Livine, Exact and approximate unitary 2-designs and their application to fidelity estimation, Phys. Rev. A 80, 012304 (2009).
- E. Magesan, J. M. Gambetta, and J. Emerson, Scalable and robust randomized benchmarking of quantum processes, Phys. Rev. Lett. 106, 180504 (2011).
- F. Arute et al., Quantum supremacy using a programmable superconducting processor, Nature (London) 574, 505 (2019).
- J. M. Pino, J. M. Dreiling, C. Figgatt, J. P. Gaebler, S. A. Moses, M. S. Allman, C. H. Baldwin, M. Foss-Feig, D. Hayes, K. Mayer, C. Ryan-Anderson, and B. Neyenhuis, Demonstration of the trapped-ion quantum CCD computer architecture, Nature (London) 592, 209 (2021).
- P. Jurcevic et al., Demonstration of quantum volume 64 on a superconducting quantum computing system, Quantum Sci. Technol. 6, 025020 (2021).
- M. A. Nielsen and I. L. Chuang, Quantum Computation and Quantum Information, 10th Anniversary Edition (Cambridge University Press, Cambridge, United Kingdom, 2010).
- X. Wang, X. Feng, L. Funcke, T. Hartung, K. Jansen, S. Kühn, G. Polykratis, and P. Stornati, Model-independent error mitigation in parametric quantum circuits and depolarizing projection of quantum noise, Proc. Sci. 396, 603 (2022).
- K. Seki, Y. Kikuchi, T. Hayata, and S. Yunoki, Simulating Floquet scrambling circuits on trapped-ion quantum computers, Phys. Rev. Res. 7, 023032 (2025).
- T. Yada, R. Suzuki, Y. Mitsuhashi, and N. Yoshioka, Non-Haar random circuits form unitary designs as fast as Haar random circuits, Phys. Rev. Lett. 136, 030401 (2026).
- J. Emerson, R. Alicki, and K. Życzkowski, Scalable noise estimation with random unitary operators, J. Opt. B 7, S347 (2005).
- See Supplemental Material at http://link.aps.org/supplemental/10.1103/wg2x-z2vm for details of randomized compiling, derivations and validity checks of the global depolarizing approximation, the analytical cooling limit, noise-model analysis, and numerical implementation, which includes Refs. [42–45].
- S. T. Flammia and J. J. Wallman, Efficient estimation of Pauli channels, ACM Trans. Quantum Comput. 1, 3 (2020).
- A. Javadi-Abhari, M. Treinish, K. Krsulich, C. J. Wood, J. Lishman, J. Gacon, S. Martiel, P. D. Nation, L. S. Bishop, A. W. Cross, B. R. Johnson, and J. M. Gambetta, Quantum computing with Qiskit arXiv:2405.08810.
- K. Shende, Arvind, and K. Dorai, State-independent robust heat-bath algorithmic cooling of nuclear spins, Phys. Rev. Appl. 21, 024017 (2024).
- G. Difranco and L. B. Oftelie, QuL: Programming library for computational cooling of qubits, ACM Trans. Quantum Comput. 6, 1 (2025).
- S. Bravyi and D. Maslov, Hadamard-free circuits expose the structure of the Clifford group, IEEE Trans. Inf. Theory 67, 4546 (2021).
- W. Hoeffding, Probability Inequalities for sums of bounded random variables, J. Am. Stat. Assoc. 58, 13 (1963).
- I. M. Georgescu, S. Ashhab, and F. Nori, Quantum simulation, Rev. Mod. Phys. 86, 153 (2014).
- A. J. Daley, I. Bloch, C. Kokail, S. Flannigan, N. Pearson, M. Troyer, and P. Zoller, Practical quantum advantage in quantum simulation, Nature (London) 607, 667 (2022).
- T. Albash and D. A. Lidar, Adiabatic quantum computation, Rev. Mod. Phys. 90, 015002 (2018).
- L. Hour, M. Go, and Y. Han, Improving zero-noise extrapolation for quantum-gate error mitigation using a noise-aware folding method, IEEE Access 14, 37362 (2026).
- Z. Farahmand, R. Aghaei Saem, and S. Raeisi, Quantum noise can enhance algorithmic cooling, Phys. Rev. A 105, 022418 (2022).
- J. Xuereb, P. Erker, F. Meier, M. T. Mitchison, and M. Huber, Impact of imperfect timekeeping on quantum control, Phys. Rev. Lett. 131, 160204 (2023).
- W.-J. Lin, H. Cho, Y. Chen, M. G. Vavilov, C. Wang, and V. E. Manucharyan, 24 days-stable cnot gate on fluxonium qubits with over 99.9% fidelity, PRX Quantum 6, 010349 (2025).
- E. A. Sete, V. Tripathi, J. A. Valery, D. Lidar, and J. Y. Mutus, Error budget of a parametric resonance entangling gate with a tunable coupler, Phys. Rev. Appl. 22, 014059 (2024).
- N. A. Rodríguez-Briones, Novel heat-bath algorithmic cooling methods, Ph.D. thesis, University of Waterloo, 2020.
- P. Lipka-Bartosik, G. F. Diotallevi, and P. Bakhshinezhad, Fundamental limits on anomalous energy flows in correlated quantum systems, Phys. Rev. Lett. 132, 140402 (2024).
- J. Xuereb, B. Stratton, A. Rolandi, J. He, M. Huber, and P. Bakhshinezhad, Cooling a qubit using others, PRX Quantum 6, 040368 (2025).
- J. Neuser, J. Xuereb, P. Bakhshinezhad, and M. Huber, Quantum vs classical erasure: Equal bounds but unequal costs, arXiv:2607.27341.
- R. Silva, P. Bakhshinezhad, and F. Clivaz, Optimal unitary trajectories under commuting target and cost observables; applications to cooling, arXiv:2412.07291.
- J. Li, NOISY_HBAC: Simulation code for exploring noisy quantum thermodynamical processes via the depolarizing-channel approximation, GitHub (2026), source code, revision 35a7740, https://github.com/Jian887109/NOISY_HBAC/tree/35a7740d8d64b982c8dd8d2e6cbe230547d44b7a.
- L. J. Schulman and U. V. Vazirani, Molecular scale heat engines and scalable quantum computation, in Proceedings of the Thirty-First Annual ACM Symposium on Theory of Computing, STOC ’99 (Association for Computing Machinery, New York, NY, USA, 1999), pp. 322–329.
- J. Lin, N. A. Rodríguez-Briones, E. Martín-Martínez, and R. Laflamme, Thermodynamic analysis of algorithmic cooling protocols: Efficiency metrics and improved designs, Phys. Rev. A 110, 022215 (2024).