Reuse & Permissions

It is not necessary to obtain permission to reuse this article or its components as it is available under the terms of the Creative Commons Attribution 4.0 International license. This license permits unrestricted use, distribution, and reproduction in any medium, provided attribution to the author(s) and the published article's title, journal citation, and DOI are maintained. Please note that some figures may have been included with permission from other third parties. It is your responsibility to obtain the proper permission from the rights holder directly for these figures.

Export citation

Export citation

Choose format for download:

Download Citation
  • Open Access

Fluctuations in measurement-based quantum engines and quantum batteries derived from the Kirkwood-Dirac quasiprobability distribution

Abdelkader El Makouri1,*, Abdallah Slaoui1,2, and Rachid Ahl Laamara1,2

  • *Contact author: abdelkader_elmakouri@um5.ac.ma

APS Open Sci. 1, 000020 – Published 12 May, 2026

DOI: https://doi.org/10.1103/fls6-mxgq

Abstract

In this paper, we consider fluctuations in a three-stroke cycle based on quantum measurement. In the first stroke, the engine is fueled by a nonselective quantum measurement; in the second stroke, an appropriate unitary operation is applied to extract work; and finally, the working medium is thermalized to complete the cycle. This protocol is analogous to charging, then discharging, and finally thermalizing a quantum battery. Using the Kirkwood-Dirac quasiprobability, we derive equations that provide insights into the fluctuations of heat and work, and thus into the charging and discharging processes. We then propose a quantum circuit to measure the cumulants of work and heat using a qubit ancilla. Afterward, we derive important upper and lower bounds on fluctuations in heat; this is thanks to the way we decompose heat fluctuations and the Kadison-Schwarz inequality. We also show, for the first time, that the imaginary part of the second cumulant of work equals the linear response of an average work (to be defined in the main text) or the quantum cross entropy. We further introduce an operator whose average defines the battery capacity and whose variance quantifies the corresponding fluctuations of the battery capacity. Our analytical results are illustrated and discussed through representative examples. We believe that our study will, on the one hand, be useful for understanding fluctuations in energy extracted from and injected into quantum batteries based on quantum measurements and, on the other hand, contribute to the foundations of quantum thermodynamics. More generally, our results can be applied beyond the three-stroke cycle considered here, especially to quantum batteries subject to environmental noise and decoherence.

View figure in article

Physics Subject Headings (PhySH)

Article Text

References (175)

  1. H. E. D. Scovil and E. O. Schulz-Dubois, Three-level masers as heat engines, Phys. Rev. Lett. 2, 262 (1959).
  2. R. Kosloff, A quantum mechanical open system as a model of a heat engine, J. Chem. Phys. 80, 1625 (1984).
  3. T. D. Kieu, The second law, Maxwell’s demon, and work derivable from quantum heat engines, Phys. Rev. Lett. 93, 140403 (2004).
  4. H. T. Quan, Y.-X. Liu, C. P. Sun, and F. Nori, Quantum thermodynamic cycles and quantum heat engines, Phys. Rev. E 76, 031105 (2007).
  5. H. T. Quan, Quantum thermodynamic cycles and quantum heat engines. II, Phys. Rev. E 79, 041129 (2009).
  6. R. Kosloff and A. Levy, Quantum heat engines and refrigerators: Continuous devices, Annu. Rev. Phys. Chem. 65, 365 (2014).
  7. J. Roßnagel, O. Abah, F. Schmidt-Kaler, K. Singer, and E. Lutz, Nanoscale heat engine beyond the Carnot limit, Phys. Rev. Lett. 112, 030602 (2014).
  8. M. T. Mitchison, Quantum thermal absorption machines: Refrigerators, engines and clocks, Contemp. Phys. 60, 164 (2019).
  9. N. M. Myers, O. Abah, and S. Deffner, Quantum thermodynamic devices: From theoretical proposals to experimental reality, AVS Quantum Sci. 4, 027101 (2022).
  10. R. Alicki and M. Fannes, Entanglement boost for extractable work from ensembles of quantum batteries, Phys. Rev. E 87, 042123 (2013).
  11. F. C. Binder, S. Vinjanampathy, K. Modi, and J. Goold, Quantacell: Powerful charging of quantum batteries, New J. Phys. 17, 075015 (2015).
  12. F. Campaioli, S. Gherardini, J. Q. Quach, M. Polini, and G. M. Andolina, Colloquium: Quantum batteries, Rev. Mod. Phys. 96, 031001 (2024).
  13. J. P. Dowling and G. J. Milburn, Quantum technology: The second quantum revolution, Philos. Trans. R. Soc. London Ser. A 361, 1655 (2003).
  14. A. Auffèves, Quantum technologies need a quantum energy initiative, PRX Quantum 3, 020101 (2022).
  15. S. Campbell et al., Roadmap on quantum thermodynamics, Quantum Sci. Technol. 11, 012501 (2026).
  16. S. Vinjanampathy and J. Anders, Quantum thermodynamics, Contemp. Phys. 57, 545 (2016).
  17. J. Goold, M. Huber, A. Riera, L. del Rio, and P. Skrzypczyk, The role of quantum information in thermodynamics—A topical review, J. Phys. A: Math. Theor. 49, 143001 (2016).
  18. N. Yunger Halpern, Toward physical realizations of thermodynamic resource theories, in Information and Interaction: Eddington, Wheeler, and the Limits of Knowledge, edited by I. T. Durham and D. Rickles (Springer International Publishing, Cham, 2017), pp. 135–166.
  19. F. Binder, L. A. Correa, C. Gogolin, J. Anders, and G. Adesso, Thermodynamics in the quantum regime, Fundamental Theories of Physics (Springer Nature Switzerland AG, Cham, Switzerland, 2018), Vol. 195.
  20. M. Lostaglio, An introductory review of the resource theory approach to thermodynamics, Rep. Prog. Phys. 82, 114001 (2019).
  21. S. Deffner and S. Campbell, Quantum Thermodynamics: An Introduction to the Thermodynamics of Quantum Information (Morgan & Claypool Publishers, San Rafael, California, 2019).
  22. P. Erker, M. T. Mitchison, R. Silva, M. P. Woods, N. Brunner, and M. Huber, Autonomous quantum clocks: Does thermodynamics limit our ability to measure time? Phys. Rev. X 7, 031022 (2017).
  23. C. E. Crooks, Entropy production fluctuation theorem and the nonequilibrium work relation for free energy differences, Phys. Rev. E 60, 2721 (1999).
  24. H. Tasaki, Jarzynski relations for quantum systems and some applications, arXiv:cond-mat/0009244.
  25. A. C. Barato and U. Seifert, Thermodynamic uncertainty relation for biomolecular processes, Phys. Rev. Lett. 114, 158101 (2015).
  26. T. R. Gingrich, J. M. Horowitz, N. Perunov, and J. L. England, Dissipation bounds all steady state current fluctuations, Phys. Rev. Lett. 116, 120601 (2016).
  27. K. Brandner, T. Hanazato, and K. Saito, Thermodynamic bounds on precision in ballistic multiterminal transport, Phys. Rev. Lett. 120, 090601 (2018).
  28. K. Macieszczak, K. Brandner, and J. P. Garrahan, Unified thermodynamic uncertainty relations in linear response, Phys. Rev. Lett. 121, 130601 (2018).
  29. J. Liu and D. Segal, Thermodynamic uncertainty relation in quantum thermoelectric junctions, Phys. Rev. E 99, 062141 (2019).
  30. K. Proesmans and J. M. Horowitz, Hysteretic thermodynamic uncertainty relation for systems with broken time-reversal symmetry, J. Stat. Mech. (2019) 054005.
  31. A. M. Timpanaro, G. Guarnieri, J. Goold, and G. T. Landi, Thermodynamic uncertainty relations from exchange fluctuation theorems, Phys. Rev. Lett. 123, 090604 (2019).
  32. Y. Hasegawa and T. Van Vu, Fluctuation theorem uncertainty relation, Phys. Rev. Lett. 123, 110602 (2019).
  33. G. Falasco, M. Esposito, and J.-C. Delvenne, Unifying thermodynamic uncertainty relations, New J. Phys. 22, 053046 (2020).
  34. J. Horowitz and T. Gingrich, Thermodynamic uncertainty relations constrain non-equilibrium fluctuations, Nat. Phys. 16, 15 (2020).
  35. M. F. Sacchi, Thermodynamic uncertainty relations for bosonic Otto engines, Phys. Rev. E 103, 012111 (2021).
  36. K. Ito, G.-H. Xu, C. Jiang, É. Roldán, R. A. Rica-Alarcón, I. A. Martínez, and G. Watanabe, Universal relations and bounds for fluctuations in quasistatic small heat engines, Commun. Phys. 8, 60 (2025).
  37. S. Saryal and B. K. Agarwalla, Bounds on fluctuations for finite-time quantum Otto cycle, Phys. Rev. E 103, L060103 (2021).
  38. S. Saryal, M. Gerry, I. Khait, D. Segal, and B. K. Agarwalla, Universal bounds on fluctuations in continuous thermal machines, Phys. Rev. Lett. 127, 190603 (2021).
  39. S. Mohanta, S. Saryal, and B. K. Agarwalla, Universal bounds on cooling power and cooling efficiency for autonomous absorption refrigerators, Phys. Rev. E 105, 034127 (2022).
  40. M. Gerry, N. Kalantar, and D. Segal, Bounds on fluctuations for ensembles of quantum thermal machines, J. Phys. A: Math. Theor. 55, 104005 (2022).
  41. G.-H. Xu, C. Jiang, Y. Minami, and G. Watanabe, Relation between fluctuations and efficiency at maximum power for small heat engines, Phys. Rev. Res. 4, 043139 (2022).
  42. S. Mohanta, M. Saha, B. P. Venkatesh, and B. K. Agarwalla, Study of bounds on non-equilibrium fluctuations for asymmetrically driven quantum Otto engine, Phys. Rev. E 108, 014118 (2023).
  43. A. El Makouri, A. Slaoui, and R. Ahl Laamara, Monitored nonadiabatic and coherent-controlled quantum unital Otto heat engines: First four cumulants, Phys. Rev. E 108, 044114 (2023).
  44. A. El Makouri, A. Slaoui, and R. Ahl Laamara, Monitored quantum unital Otto heat engines: Fluctuations of the released heat and entropy production, Physica A 669, 130591 (2025).
  45. J.-S. Yan and J. Jing, Charging by quantum measurement, Phys. Rev. Appl. 19, 064069 (2023).
  46. A. Bhattacharyya, K. Sen, and U. Sen, Noncompletely positive quantum maps enable efficient local energy extraction in batteries, Phys. Rev. Lett. 132, 240401 (2024).
  47. P. Chaki, A. Bhattacharyya, K. Sen, and U. Sen, Positive and non-positive measurements in energy extraction from quantum batteries, arXiv:2404.18745.
  48. A. H. A. Malavazi, R. Sagar, B. Ahmadi, and P. R. Dieguez, Two-time weak-measurement protocol for ergotropy protection in open quantum batteries, PRX Energy 4, 023011 (2025).
  49. N. Friis and M. Huber, Precision and work fluctuations in Gaussian battery charging, Quantum 2, 61 (2018).
  50. B. Morris and G. Adesso, Quantum coherence fluctuation relations, J. Phys. A: Math. Theor. 51, 414007 (2018).
  51. Á. M. Alhambra, L. Masanes, J. Oppenheim, and C. Perry, Entanglement fluctuation theorems, Phys. Rev. A 100, 012317 (2019).
  52. A. Crescente, M. Carrega, M. Sassetti, and D. Ferraro, Charging and energy fluctuations of a driven quantum battery, New J. Phys. 22, 063057 (2020).
  53. F. Caravelli, G. Coulter-De Wit, L. P. García-Pintos, and A. Hamma, Random quantum batteries, Phys. Rev. Res. 2, 023095 (2020).
  54. L. P. García-Pintos, A. Hamma, and A. del Campo, Fluctuations in extractable work bound the charging power of quantum batteries, Phys. Rev. Lett. 125, 040601 (2020).
  55. D. Rosa, D. Rossini, G. M. Andolina, M. Polini, and M. Carrega, Ultra-stable charging of fast-scrambling SYK quantum batteries, J. High Energy Phys. 11 (2020) 067.
  56. S. Cusumano and L. Rudnicki, Comment on “Fluctuations in extractable work bound the charging power of quantum batteries”, Phys. Rev. Lett. 127, 028901 (2021).
  57. S. Y. Wang, Fluctuations in extractable work and bounds on the charging power of quantum batteries, Entropy 23, 1455 (2021).
  58. R. Salvia and V. Giovannetti, On the distribution of the mean energy in the unitary orbit of quantum states, Quantum 5, 514 (2021).
  59. F. Barra, Efficiency fluctuations in a quantum battery charged by a repeated interaction process, Entropy 24, 820 (2022).
  60. F.-Q. Dou, Y.-Q. Lu, Y.-J. Wang, and J.-A. Sun, Extended Dicke quantum battery with interatomic interactions and driving field, Phys. Rev. B 105, 115405 (2022).
  61. S. Imai, O. Gühne, and S. Nimmrichter, Work fluctuations and entanglement in quantum batteries, Phys. Rev. A 107, 022215 (2023).
  62. P. Bakhshinezhad, B. R. Jablonski, F. C. Binder, and N. Friis, Trade-offs between precision and fluctuations in charging finite-dimensional quantum batteries, Phys. Rev. E 109, 014131 (2024).
  63. G. Francica and L. Dell’Anna, Role of quantum correlations in daemonic expected utility, Phys. Rev. A 109, 052221 (2024).
  64. W.-X. Guo, F.-M. Yang, and F.-Q. Dou, Analytically solvable many-body Rosen-Zener quantum battery, Phys. Rev. A 109, 032201 (2024).
  65. T. K. Konar, A. Patra, R. Gupta, S. Ghosh, and A. Sen(De), Multimode advantage in continuous-variable quantum batteries, Phys. Rev. A 110, 022226 (2024).
  66. D. Rinaldi, R. Filip, D. Gerace, and G. Guarnieri, Reliable quantum advantage in quantum battery charging, Phys. Rev. A 112, 012205 (2025).
  67. R. Salvia and V. Giovannetti, Zero-fluctuation quantum work extraction, Phys. Rev. A 110, 012213 (2024).
  68. A. A. Zahia, M. Y. Abd-Rabbou, and A. M. Megahed, Entanglement-driven energy exchange in a two-qubit quantum battery, J. Phys. B: At. Mol. Opt. Phys. 58, 065501 (2025).
  69. G. Francica, Quantum advantage from negativity of work quasiprobability distributions, arXiv:2503.18115.
  70. A. Sarkar, P. Chaki, P. Ghosh, and U. Sen, Fluctuation in energy extraction from quantum batteries: How open should the system be to control it? arXiv:2505.16851.
  71. B. Polo and F. Centrone, Precision bounds for bosonic quantum batteries, arXiv:2505.24604.
  72. G. Di Bello, D. Farina, D. Jansen, C. A. Perroni, V. Cataudella, and G. De Filippis, Local ergotropy and its fluctuations across a dissipative quantum phase transition, Quantum Sci. Technol. 10, 015049 (2025).
  73. D. Murphy, A. Kiely, I. D’Amico, and S. Campbell, Ergotropy transport in a one dimensional spin chain, Phys. Rev. A 112, 052214 (2025).
  74. B. Mohan, T. Pandit, M. Lewenstein, and M. N. Bera, Fundamental limitations on the reliabilities of power and work in quantum batteries, arXiv:2601.05315.
  75. D. Rinaldi, R. Filip, D. Gerace, and G. Guarnieri, Maximum precision charging of multi-qubit quantum batteries, arXiv:2601.12183.
  76. N. Behzadi, Quantum engine based on general measurements, J. Phys. A: Math. Theor. 54, 015304 (2021).
  77. A. N. Jordan, C. Elouard, and A. Auffèves, Quantum measurement engines and their relevance for quantum interpretations, Quantum Stud.: Math. Found. 7, 203 (2020).
  78. J. G. Kirkwood, Quantum statistics of almost classical assemblies, Phys. Rev. 44, 31 (1933).
  79. P. A. M. Dirac, On the analogy between classical and quantum mechanics, Rev. Mod. Phys. 17, 195 (1945).
  80. H. Margenau and R. N. Hill, Correlation between measurements in quantum theory, Prog. Theor. Phys. 26, 722 (1961).
  81. N. Y. Halpern, B. Swingle, and J. Dressel, Quasiprobability behind the out-of-time-ordered correlator, Phys. Rev. A 97, 042105 (2018).
  82. A. Levy and M. Lostaglio, A quasiprobability distribution for heat fluctuations in the quantum regime, PRX Quantum 1, 010309 (2020).
  83. D. R. M. Arvidsson-Shukur, J. C. Drori, and N. Yunger Halpern, Conditions tighter than noncommutation needed for nonclassicality, J. Phys. A: Math. Theor. 54, 284001 (2021).
  84. G. Francica, What is the most general class of quasiprobabilities of work? Phys. Rev. E 106, 054129 (2022).
  85. M. Lostaglio, A. Belenchia, A. Levy, S. Hernández-Gómez, N. Fabbri, and S. Gherardini, Kirkwood-Dirac quasiprobability approach to the statistics of incompatible observables, Quantum 7, 1128 (2023).
  86. A. Santini, A. Solfanelli, S. Gherardini, and M. Collura, Work statistics, quantum signatures, and enhanced work extraction in quadratic fermionic models, Phys. Rev. B 108, 104308 (2023).
  87. Ji-Hui Pei, Jin-Fu Chen, and H. T. Quan, Exploring quasiprobability approaches to quantum work in the presence of initial coherence: Advantages of the Margenau-Hill distribution, Phys. Rev. E 108, 054109 (2023).
  88. G. Francica and L. Dell’Anna, Quasiprobability distribution of work in the quantum Ising model, Phys. Rev. E 108, 014106 (2023).
  89. A. Budiyono and H. K. Dipojono, Quantifying quantum coherence via Kirkwood–Dirac quasiprobability, Phys. Rev. A 107, 022408 (2023).
  90. S. S. Pratapsi, S. Deffner, and S. Gherardini, Quantum speed limit for Kirkwood–Dirac quasiprobabilities, Quantum Sci. Technol. 10, 035019 (2025).
  91. S. Hernández-Gómez, S. Gherardini, A. Belenchia, M. Lostaglio, A. Levy, and N. Fabbri, Projective measurements can probe nonclassical work extraction and time correlations, Phys. Rev. Res. 6, 023280 (2024).
  92. L. M. Johansen, Quantum theory of successive projective measurements, Phys. Rev. A 76, 012119 (2007).
  93. S. Gherardini and G. De Chiara, Quasiprobabilities in quantum thermodynamics and many-body systems, PRX Quantum 5, 030201 (2024).
  94. D. R. M. Arvidsson-Shukur, W. F. Braasch, Jr., S. De Bièvre, J. Dressel, A. N. Jordan, C. Langrenez, M. Lostaglio, J. S. Lundeen, and N. Yunger Halpern, Properties and applications of the Kirkwood–Dirac distribution, New J. Phys. 26, 121201 (2024).
  95. A. El Makouri, A. Slaoui, and R. Ahl Laamara, Quantum unital Otto heat engines: Using Kirkwood-Dirac quasi-probability for the engine’s coherence to stay alive, Ann. Phys. 473, 169889 (2025).
  96. L. Donati, F. S. Cataliotti, and S. Gherardini, Energetics and quantumness of Fano coherence generation, Sci. Rep. 14, 20145 (2024).
  97. T. Upadhyaya, W. F. Braasch, Jr., G. T. Landi, and N. Yunger Halpern, Non-Abelian transport distinguishes three usually equivalent notions of entropy production, PRX Quantum 5, 030355 (2024).
  98. A. V. Mallik, L. M. Cangemi, A. Levy, and E. G. Dalla Torre, Probing quantum anomalous heat flow using mid-circuit measurements, Adv. Quantum Technol. 8, e00328 (2025).
  99. E. Doucet and S. Deffner, Compatibility of quantum measurements and the emergence of classical objectivity, Phys. Rev. A 111, 042217 (2025).
  100. M. Pezzutto, G. De Chiara, and S. Gherardini, Non-positive energy quasidistributions in coherent collision models, Quantum Sci. Technol. 10, 035066 (2025).
  101. M. Esposito, U. Harbola, and S. Mukamel, Nonequilibrium fluctuations, fluctuation theorems, and counting statistics in quantum systems, Rev. Mod. Phys. 81, 1665 (2009).
  102. M. Campisi, P. Hänggi, and P. Talkner, Colloquium: Quantum fluctuation relations: Foundations and applications, Rev. Mod. Phys. 83, 771 (2011).
  103. R. Dorner, S. R. Clark, L. Heaney, R. Fazio, J. Goold, and V. Vedral, Extracting quantum work statistics and fluctuation theorems by single-qubit interferometry, Phys. Rev. Lett. 110, 230601 (2013).
  104. L. Mazzola, G. De Chiara, and M. Paternostro, Measuring the characteristic function of the work distribution, Phys. Rev. Lett. 110, 230602 (2013).
  105. S. Hernández-Gómez, T. Isogawa, A. Belenchia, A. Levy, N. Fabbri, S. Gherardini, and P. Cappellaro, Interferometry of quantum correlation functions to access quasiprobability distribution of work, npj Quantum Inf. 10, 115 (2024).
  106. Y. Aharonov, D. Z. Albert, and L. Vaidman, How the result of a measurement of a component of the spin of a spin-1/2 particle can turn out to be 100, Phys. Rev. Lett. 60, 1351 (1988).
  107. J. Dressel, M. Malik, F. M. Miatto, A. N. Jordan, and R. W. Boyd, Colloquium: Understanding quantum weak values: Basics and applications, Rev. Mod. Phys. 86, 307 (2014).
  108. J. Dressel and A. N. Jordan, Significance of the imaginary part of the weak value, Phys. Rev. A 85, 012107 (2012).
  109. Z. Shangnan, Quantum data compression and quantum cross entropy, arXiv:2106.13823.
  110. A. E. Allahverdyan and T. M. Nieuwenhuizen, Fluctuations of work from quantum subensembles: The case against quantum work-fluctuation theorems, Phys. Rev. E 71, 066102 (2005).
  111. P. Talkner, E. Lutz, and P. Hänggi, Fluctuation theorems: Work is not an observable, Phys. Rev. E 75, 050102(R) (2007).
  112. R. V. Kadison, A generalized Schwarz inequality and algebraic invariants for operator algebras, Ann. Math. 56, 494 (1952).
  113. X. Yang, Y.-H. Yang, M. Alimuddin, R. Salvia, S.-M. Fei, L.-M. Zhao, S. Nimmrichter, and M.-X. Luo, Battery capacity of energy-storing quantum systems, Phys. Rev. Lett. 131, 030402 (2023).
  114. A. E. Allahverdyan, R. Balian, and T. M. Nieuwenhuizen, Maximal work extraction from finite quantum systems, Europhys. Lett. 67, 565 (2004).
  115. W. Pusz and S. L. Woronowicz, Passive states and KMS states for general quantum systems, Commun. Math. Phys. 58, 273 (1978).
  116. A. Lenard, Thermodynamical proof of the Gibbs formula for elementary quantum systems, J. Stat. Phys. 19, 575 (1978).
  117. K. Kraus, States, Effects, and Operations: Fundamental Notions of Quantum Theory (Springer, Berlin, 1983).
  118. H. M. Wiseman and G. J. Milburn, Quantum Measurement and Control (Cambridge University Press, Cambridge, 2010).
  119. K. Jacobs, Quantum Measurement Theory and Its Applications (Cambridge University Press, Cambridge, 2014).
  120. C. Elouard, D. A. Herrera-Martí, M. Clusel, and A. Auffèves, The role of quantum measurement in stochastic thermodynamics, npj Quantum Inf. 3, 9 (2017).
  121. A. El Makouri, A. Slaoui, and R. Ahl Laamara, Nonlocal measurement outperforms local and separable measurements in enhancing the performance of nonequilibrium and equilibrium quantum batteries.
  122. J. Du, Y. Guo, and B. Li, Nonequilibrium quantum battery based on quantum measurements, Phys. Rev. Res. 7, 013151 (2025).
  123. S. Tirone, R. Salvia, S. Chessa, and V. Giovannetti, Quantum work extraction efficiency for noisy quantum batteries: The role of coherence, Phys. Rev. A 111, 012204 (2025).
  124. S. Tirone, G. M. Andolina, G. Calajò, V. Giovannetti, and D. Rossini, Many-body enhancement of energy storage in a waveguide QED quantum battery, Phys. Rev. A 112, 013717 (2025).
  125. S. Tirone, R. Salvia, S. Chessa, and V. Giovannetti, Quantum work capacitances: Ultimate limits for energy extraction on noisy quantum batteries, SciPost Phys. 17, 041 (2024).
  126. S. Julià-Farré, T. Salamon, A. Riera, M. N. Bera, and M. Lewenstein, Bounds on the capacity and power of quantum batteries, Phys. Rev. Res. 2, 023113 (2020).
  127. A. Ali, S. Al-Kuwari, M. I. Hussain, T. Byrnes, M. T. Rahim, J. Q. Quach, M. Ghominejad, and S. Haddadi, Ergotropy and capacity optimization in Heisenberg spin-chain quantum batteries, Phys. Rev. A 110, 052404 (2024).
  128. Y.-K. Wang, L.-Z. Ge, T. Zhang, S.-M. Fei, Y. Gao, and Z.-X. Wang, Dynamics of quantum battery capacity under Markovian channels, Quantum Inf. Process. 24, 34 (2025).
  129. S. Elghaayda, A. Ali, S. Al-Kuwari, A. Czerwinski, M. Mansour, and S. Haddadi, Performance of a superconducting quantum battery, Adv. Quantum Technol. 8, 2400651 (2025).
  130. X. Yang, Y.-H. Yang, X.-Z. Liu, J.-L. Jiang, X.-Z. Zheng, S.-M. Fei, and M.-X. Luo, Experimental verification of quantum battery capacity with an optical platform, Cell Rep. Phys. Sci. 5, 102300 (2024).
  131. R. Castellano, R. Nery, K. Simonov, and D. Farina, Parallel ergotropy: Maximum work extraction via parallel local unitary operations, Phys. Rev. A 111, 012212 (2025).
  132. Y. Wang, X. Huang, and T. Zhang, Distribution relationship of quantum battery capacity, Adv. Quantum Technol. 8, 2400652 (2025).
  133. M. Perarnau-Llobet, E. Bäumer, K. V. Hovhannisyan, M. Huber, and A. Acin, No-go theorem for the characterization of work fluctuations in coherent quantum systems, Phys. Rev. Lett. 118, 070601 (2017).
  134. U. Seifert, Stochastic thermodynamics, fluctuation theorems and molecular machines, Rep. Prog. Phys. 75, 126001 (2012).
  135. W. F. Stinespring, Positive functions on C*-algebras, Proc. Am. Math. Soc. 6, 211 (1955).
  136. T. B. Batalhão et al., Experimental reconstruction of work distribution and study of fluctuation relations in a closed quantum system, Phys. Rev. Lett. 113, 140601 (2014).
  137. M. Campisi, R. Blattmann, S. Kohler, D. Zueco, and P. Hänggi, Employing circuit QED to measure non-equilibrium work fluctuations, New J. Phys. 15, 105028 (2013).
  138. S. Pal, T. S. Mahesh, and B. K. Agarwalla, Experimental demonstration of the validity of the quantum heat-exchange fluctuation relation in an NMR setup, Phys. Rev. A 100, 042119 (2019).
  139. S. Pal, S. Saryal, D. Segal, T. S. Mahesh, and B. K. Agarwalla, Experimental study of the thermodynamic uncertainty relation, Phys. Rev. Res. 2, 022044(R) (2020).
  140. C. H. S. Vieira, J. L. D. de Oliveira, J. F. G. Santos, P. R. Dieguez, and R. M. Serra, Exploring quantum thermodynamics with NMR, J. Magn. Reson. Open 16–17, 100105 (2023).
  141. H. Yao and X.-L. Qi, Entanglement entropy and entanglement spectrum of the Kitaev model, Phys. Rev. Lett. 105, 080501 (2010).
  142. J. de Boer, J. Järvelä, and E. Keski-Vakkuri, Aspects of capacity of entanglement, Phys. Rev. D 99, 066012 (2019).
  143. P. Boes, N. H. Y. Ng, and H. Wilming, Variance of relative surprisal as single-shot quantifier, PRX Quantum 3, 010325 (2022).
  144. H. P. Robertson, The uncertainty principle, Phys. Rev. 34, 163 (1929).
  145. E. Schrödinger, Zum Heisenbergschen Unschärfeprinzip, Sitzungsber. Preuss. Akad. Wiss. Phys.-Math. Kl. 19, 296 (1930).
  146. L. Maccone and A. K. Pati, Stronger uncertainty relations for the sum of variances, Phys. Rev. Lett. 113, 260401 (2014).
  147. C. Langrenez, D. R. M. Arvidsson-Shukur, and S. De Bièvre, Characterizing the geometry of the Kirkwood–Dirac-positive states, J. Math. Phys. 65, 072201 (2024).
  148. M. Łobejko, P. Mazurek, and M. Horodecki, Thermodynamics of minimal coupling quantum heat engines, Quantum 4, 375 (2020).
  149. K. Ptaszyński, Non-Markovian thermal operations boosting the performance of quantum heat engines, Phys. Rev. E 106, 014114 (2022).
  150. D. Saha, A. Bhattacharyya, K. Sen, and U. Sen, Energizing a quantum system using quantum engine-inspired architectures An optimization study, New J. Phys. 28, 044513 (2026).
  151. T. Biswas and C. Datta, Optimal performance of a three-stroke heat engine in the microscopic regime, Phys. Rev. A 110, 032218 (2024).
  152. H. F. Hofmann, Uncertainty limits for quantum metrology obtained from the statistics of weak measurements, Phys. Rev. A 83, 022106 (2011).
  153. D. R. M. Arvidsson-Shukur, N. Yunger Halpern, H. V. Lepage, A. A. Lasek, C. H. W. Barnes, and S. Lloyd, Quantum advantage in postselected metrology, Nat. Commun. 11, 3775 (2020).
  154. T. Zhang, H. Yang, and S.-M. Fei, Local-projective-measurement-enhanced quantum battery capacity, Phys. Rev. A 109, 042424 (2024).
  155. Y. Wang, H. Liu, S.-M. Fei, and T. Zhang, Improving quantum battery capacity in tripartite quantum systems by local projective measurements, Adv. Quantum Technol. 8, 2500095 (2025).
  156. A. Solfanelli, L. Buffoni, A. Cuccoli, and M. Campisi, Maximal energy extraction via quantum measurement, J. Stat. Mech. (2019) 094003.
  157. S. Gherardini, F. Campaioli, F. Caruso, and F. C. Binder, Stabilizing open quantum batteries by sequential measurements, Phys. Rev. Res. 2, 013095 (2020).
  158. K. Koshihara and K. Yuasa, Quantum ergotropy and quantum feedback control, Phys. Rev. E 107, 064109 (2023).
  159. P.-R. Lai, J.-D. Lin, Y.-T. Huang, H.-C. Jan, and Y.-N. Chen, Quick charging of a quantum battery with superposed trajectories, Phys. Rev. Res. 6, 023136 (2024).
  160. M. A. Satriani and F. Barra, Daemonic quantum battery charged by thermalization, Quantum Sci. Technol. 9, 045035 (2024).
  161. L. Buffoni, A. Solfanelli, P. Verrucchi, A. Cuccoli, and M. Campisi, Quantum measurement cooling, Phys. Rev. Lett. 122, 070603 (2019).
  162. S. Luo, Heisenberg uncertainty relation for mixed states, Phys. Rev. A 72, 042110 (2005).
  163. Y. M. Park, Improvement of uncertainty relations for mixed states, J. Math. Phys. 46, 042109 (2005).
  164. A. Mayumi, G. Kimura, H. Ohno, and D. Chruściński, Uncertainty relations based on a state-dependent norm of a commutator, Phys. Rev. A 110, 062215 (2024).
  165. G. Kimura, A. Mayumi, H. Ohno, J. Lee, and D. Chruściński, Beyond Robertson-Schrödinger: A general uncertainty relation unveiling hidden noncommutative trade-offs, arXiv:2504.20404.
  166. G. Kimura, A. Mayumi, and H. Yamashita, Tight generalization of Robertson-type uncertainty relations, arXiv:2505.19861.
  167. G. Francica, J. Goold, F. Plastina, and M. Paternostro, Daemonic ergotropy: Enhanced work extraction from quantum correlations, npj Quantum Inf. 3, 12 (2017).
  168. A. Touil, B. Çakmak, and S. Deffner, Ergotropy from quantum and classical correlations, J. Phys. A: Math. Theor. 55, 025301 (2022).
  169. X. Hao, K. Yan, J. Tan, and Q.-Y. Wu, Quantum work extraction of an accelerated Unruh–DeWitt battery in relativistic motion, Phys. Rev. A 107, 012207 (2023).
  170. M. Hotta, Quantum energy teleportation in spin chain systems, J. Phys. Soc. Jpn. 78, 034001 (2009).
  171. R. Bhatia, Positive Definite Matrices (Princeton University Press, Princeton, New Jersey, 2007).
  172. A. El Makouri (unpublished).
  173. M. Yadav, D. Tiwari, and S. Banerjee, (Thermo-)dynamics of the spin-boson model in the weak coupling regime: Application as a quantum battery, Adv. Quantum Technol. 9, e00333 (2026).
  174. C. Napoli, T. R. Bromley, M. Cianciaruso, M. Piani, N. Johnston, and G. Adesso, Robustness of coherence: An operational and observable measure of quantum coherence, Phys. Rev. Lett. 116, 150502 (2016).
  175. S. Jakhar and R. S. Johal, Ergotropic advantage in a measurement-fueled quantum heat engine, Phys. Rev. E 113, 024142 (2026).

Outline

Information

Sign In to Your Journals Account

Filter

Filter

Article Lookup

Enter a citation