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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Veröffentlicht in:	Nature machine intelligence 2022-07, Vol.4 (7), p.618-624
Hauptverfasser:	Bennewitz, Elizabeth R., Hopfmueller, Florian, Kulchytskyy, Bohdan, Carrasquilla, Juan, Ronagh, Pooya
Format:	Artikel
Sprache:	eng
Schlagworte:	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
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