Journal article
Paulin de Schoulepnikoff, Oriel Kiss, Sofia Vallecorsa, Giuseppe Carleo, Michele Grossi
Phys. Rev. Research, vol. 6, 2024 Apr, p. 023021
Phys. Rev. Research, vol. 6, 2024 Apr, p. 023021
arXiv
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APA
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de Schoulepnikoff, P., Kiss, O., Vallecorsa, S., Carleo, G., & Grossi, M. (2024). Hybrid Ground-State Quantum Algorithms based on Neural Schrödinger Forging. Phys. Rev. Research, 6, 023021. https://doi.org/10.1103/PhysRevResearch.6.023021
Chicago/Turabian
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Schoulepnikoff, Paulin de, Oriel Kiss, Sofia Vallecorsa, Giuseppe Carleo, and Michele Grossi. “Hybrid Ground-State Quantum Algorithms Based on Neural Schrödinger Forging.” Phys. Rev. Research 6 (April 2024): 023021.
MLA
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de Schoulepnikoff, Paulin, et al. “Hybrid Ground-State Quantum Algorithms Based on Neural Schrödinger Forging.” Phys. Rev. Research, vol. 6, Apr. 2024, p. 023021, doi:10.1103/PhysRevResearch.6.023021.
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@article{de2024a,
title = {Hybrid Ground-State Quantum Algorithms based on Neural Schrödinger Forging},
year = {2024},
month = apr,
journal = {Phys. Rev. Research},
pages = {023021},
volume = {6},
doi = {10.1103/PhysRevResearch.6.023021},
author = {de Schoulepnikoff, Paulin and Kiss, Oriel and Vallecorsa, Sofia and Carleo, Giuseppe and Grossi, Michele},
month_numeric = {4}
}
We propose a new method for entanglement forging employing generative neural networks to identify the most pertinent bitstrings, eliminating the need for the exponential sum. Through empirical demonstrations on systems of increasing complexity, we show that the proposed algorithm achieves comparable or superior performance compared to the existing standard implementation of entanglement forging.
