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Probing quantum anomalous heat flow using mid-circuit measurements (2410.22900v1)
Published 30 Oct 2024 in quant-ph
Abstract: Gate-based quantum computers are an innovative tool for experimentally studying the core principles of quantum mechanics. This work presents the first observation of quantum anomalous heat flow between two qubits and investigates the role of mid-circuit measurements in this context. Using mid-circuit measurements, we designed quantum circuits that violate the semi-classical heat flow bound, witnessing negativities in the underlying Kirkwood-Dirac quasiprobability distribution, which indicates the presence of quantum correlations between the subsystems. Mid-circuit measurements, crucial for probing qubits during the experiment, enabled these observations but also introduced disturbances, such as energy leakage, leading to deviations from theoretical predictions. We modeled these noise effects, providing insight into the limitations of current mid-circuit measurement techniques.
- IBM Quantum, Falcon, https://docs.quantum.ibm.com/run/processor-types (a), accessed: 2024-05-01.
- R. Kosloff and A. Levy, Quantum heat engines and refrigerators: Continuous devices, Annual review of physical chemistry 65, 365 (2014).
- S. Vinjanampathy and J. Anders, Quantum thermodynamics, Contemporary Physics 57, 545 (2016), https://doi.org/10.1080/00107514.2016.1201896 .
- S. Deffner and S. Campbell, Quantum Thermodynamics, 2053-2571 (Morgan &\&& Claypool Publishers, 2019).
- F. Cleri, Quantum computers, quantum computing and quantum thermodynamics (2024), arXiv:2404.09663 [quant-ph] .
- L. M. Cangemi, C. Bhadra, and A. Levy, Quantum engines and refrigerators, Physics Reports 1087, 1 (2024).
- N. M. Myers, O. Abah, and S. Deffner, Quantum thermodynamic devices: from theoretical proposals to experimental reality, AVS Quantum Science 4, 027101 (2022).
- L. Arrachea, Energy dynamics, heat production and heat–work conversion with qubits: toward the development of quantum machines, Reports on Progress in Physics 86, 036501 (2023).
- A. Solfanelli, A. Santini, and M. Campisi, Experimental verification of fluctuation relations with a quantum computer, PRX Quantum 2, 030353 (2021).
- A. Levy and M. Lostaglio, Quasiprobability distribution for heat fluctuations in the quantum regime, PRX Quantum 1, 010309 (2020).
- C. Jarzynski and D. K. Wójcik, Classical and quantum fluctuation theorems for heat exchange, Phys. Rev. Lett. 92, 230602 (2004).
- S. Lloyd, Use of mutual information to decrease entropy: Implications for the second law of thermodynamics, Phys. Rev. A 39, 5378 (1989).
- D. Jennings and T. Rudolph, Entanglement and the thermodynamic arrow of time, Phys. Rev. E 81, 061130 (2010).
- The heat exchange process can still be quantum as quantum correlation can be created during the unitary evolution.
- J. G. Kirkwood, Quantum statistics of almost classical assemblies, Phys. Rev. 44, 31 (1933).
- P. A. M. Dirac, On the analogy between classical and quantum mechanics, Rev. Mod. Phys. 17, 195 (1945).
- R. W. Spekkens, Negativity and Contextuality are Equivalent Notions of Nonclassicality, Phys. Rev. Lett. 101, 020401 (2008).
- H. F. Hofmann, How Weak Values Emerge in Joint Measurements on Cloned Quantum Systems, Phys. Rev. Lett. 109, 020408 (2012).
- M. F. Pusey, Anomalous Weak Values Are Proofs of Contextuality, Phys. Rev. Lett. 113, 200401 (2014).
- N. Yunger Halpern, B. Swingle, and J. Dressel, Quasiprobability behind the out-of-time-ordered correlator, Phys. Rev. A 97, 042105 (2018).
- R. Mohseninia, J. R. González Alonso, and J. Dressel, Optimizing measurement strengths for qubit quasiprobabilities behind out-of-time-ordered correlators, Phys. Rev. A 100, 062336 (2019).
- J. R. González Alonso, N. Yunger Halpern, and J. Dressel, Out-of-Time-Ordered-Correlator Quasiprobabilities Robustly Witness Scrambling, Phys. Rev. Lett. 122, 040404 (2019).
- A. E. Allahverdyan, Nonequilibrium quantum fluctuations of work, Phys. Rev. E 90, 032137 (2014).
- J.-H. Pei, J.-F. 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).
- S. Gherardini and G. De Chiara, Quasiprobabilities in quantum thermodynamics and many-body systems, PRX Quantum 5, 10.1103/prxquantum.5.030201 (2024).
- A. Budiyono and H. K. Dipojono, Quantifying quantum coherence via Kirkwood-Dirac quasiprobability, Phys. Rev. A 107, 022408 (2023).
- H. Margenau and R. N. Hill, Correlation between Measurements in Quantum Theory: , Progress of Theoretical Physics 26, 722 (1961), https://academic.oup.com/ptp/article-pdf/26/5/722/5454875/26-5-722.pdf .
- M. Campisi, P. Hänggi, and P. Talkner, Colloquium: Quantum fluctuation relations: Foundations and applications, Rev. Mod. Phys. 83, 771 (2011).
- IBM Quantum, Eagle, https://docs.quantum.ibm.com/run/processor-types (b), accessed: 2024-05-01.
- This choice seems to be critical as we were not able to observe a quantum anomalous flow on ibm__\__perth processor, which belongs to the class of Falcon r5.11H and has qubits in an “H” layout.
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