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Variational quantum algorithms (VQAs) that estimate values of widely used physical quantities such as the rank, quantum entropies, the Bures fidelity and the quantum Fisher information of mixed quantum states are developed.
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Philipp Hyllus, Wiesław Laskowski, Roland Krischek, Christian Schwemmer, Witlef Wieczorek, Harald Weinfurter, Luca Pezzé, and Augusto Smerzi, “Fisher information and multiparticle entanglement,” Phys. Rev. A 85
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2018
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Kok Chuan Tan, Seongjeon Choi, Hyukjoon Kwon, and Hyunseok Jeong, “Coherence, quantum fisher information, superradiance, and entanglement as interconvertible resources,” Phys. Rev. A 97
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Frank Arute et al. , “Quantum supremacy using a programmable superconducting processor,” Nature 574
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Ken M. Nakanishi, Kosuke Mitarai, and Keisuke Fujii, “Subspace-search variational quantum eigensolver for excited states,” Phys. Rev. Res. 1
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Sumeet Khatri, Ryan LaRose, Alexander Poremba, Lukasz Cincio, Andrew T. Sornborger, and Patrick J. Coles, “Quantum-assisted quantum compiling,” Quantum 3
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Marco Cerezo, Alexander Poremba, Lukasz Cincio, and Patrick J. Coles, “Variational Quantum Fidelity Estimation,” Quantum 4
2020
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2019
Cited alongside, same era.
2019
Cited alongside, same era.
2019
Cited alongside, same era.
2019
Cited alongside, same era.
Kok Chuan Tan and Hyunseok Jeong, “Nonclassical light and metrological power: An introductory review,” AVS Quantum Sci. 1
2019
Cited alongside, same era.
Y. Subasi, L. Cincio, and P.J. Coles, “Entanglement spectroscopy with a depth-two quantum circuit,” J. Phys. A: Math. Theor. 52
2019
Cited alongside, same era.
Hyukjoon Kwon, Kok Chuan Tan, Tyler Volkoff, and Hyunseok Jeong, “Nonclassicality as a quantifiable resource for quantum metrology,” Phys. Rev. Lett. 122
2019
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Héctor Abraham et al. , “Qiskit: An open-source framework for quantum computing,” (2019)
2019
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Later among the works it cites.
Suguru Endo, Zhenyu Cai, Simon C. Benjamin, and Xiao Yuan, “Hybrid quantum-classical algorithms and quantum error mitigation,” J. Phys. Soc. Jpn. 90
2021
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2021
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2021
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2021
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T.J. Volkoff, “Efficient trainability of linear optical modules in quantum optical neural networks,” J. Russ. Laser Res. 42
2021
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M. Cerezo, A. Sone, T. Volkoff, L. Cincio, and P.J. Coles, “Cost function dependent barren plateaus in shallow parametrized quantum circuits,” Nat. Comm. 12
2021
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T. Volkoff and P.J. Coles, “Large gradients via correlation in random parameterized quantum circuits,” Quantum Sci. Technol. 6
2021
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