Neural Error Mitigation of Near-Term Quantum Simulations

Near-term quantum computers provide a promising platform for finding the ground states of quantum systems, which is an essential task in physics, chemistry and materials science. However, near-term approaches are constrained by the effects of noise, as well as the limited resources of near-term quan...

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Bibliographic Details
Published in:	Nature machine intelligence Vol. 4; no. 7; pp. 618 - 624
Main Authors:	Bennewitz, Elizabeth R., Hopfmueller, Florian, Kulchytskyy, Bohdan, Carrasquilla, Juan, Ronagh, Pooya
Format:	Journal Article
Language:	English
Published:	London Nature Publishing Group UK 01.07.2022 Nature Publishing Group
Subjects:	639/638/563/758 639/705/1042 639/766/419/1133 639/766/483/3926 639/766/483/481 Accuracy Algorithms Circuits Computer simulation Computers Energy Engineering Error correction & detection Errors Estimates Ground state Hardware Machine learning Materials science Neural networks Order parameters Physics Quantum computers Quantum computing Quantum entanglement Simulation Tomography
ISSN:	2522-5839, 2522-5839
Online Access:	Get full text
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