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We introduce LOWESA as a classical algorithm for faithfully simulating quantum systems via a classically constructed surrogate expectation landscape.
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Thomas Ayral, Thibaud Louvet, Yiqing Zhou, Cyprien Lambert, E Miles Stoudenmire, and Xavier Waintal, “Density-matrix renormalization group algorithm for simulating quantum circuits with a finite fidelity,” PRX Quantum 4
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Abhinav Kandala, Kristan Temme, Antonio D. Córcoles, Antonio Mezzacapo, Jerry M. Chow, and Jay M. Gambetta, “Error mitigation extends the computational reach of a noisy quantum processor,” Nature 567
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Markus Schmitt and Markus Heyl, “Quantum many-body dynamics in two dimensions with artificial neural networks,” Physical Review Letters 125
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Tudor Giurgica-Tiron, Yousef Hindy, Ryan LaRose, Andrea Mari, and William J Zeng, “Digital zero noise extrapolation for quantum error mitigation,” 2020 IEEE International Conference on Quantum Computing and Engineering (QCE) , 306–316 (2020)
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M. Cerezo, Andrew Arrasmith, Ryan Babbush, Simon C Benjamin, Suguru Endo, Keisuke Fujii, Jarrod R McClean, Kosuke Mitarai, Xiao Yuan, Lukasz Cincio, and Patrick J. Coles, “Variational quantum algorithms,” Nature Reviews Physics 3
2021
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Feng Pan and Pan Zhang, “Simulation of quantum circuits using the big-batch tensor network method,” Physical Review Letters 128
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Youngseok Kim, Andrew Eddins, Sajant Anand, Ken Xuan Wei, Ewout Van Den Berg, Sami Rosenblatt, Hasan Nayfeh, Yantao Wu, Michael Zaletel, Kristan Temme, et al. , “Evidence for the utility of quantum computing before fault tolerance,” Nature 618
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Niladri Gomes, David B Williams-Young, and Wibe A de Jong, “Computing the many-body green’s function with adaptive variational quantum dynamics,” Journal of Chemical Theory and Computation (2023)
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