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1 Ergebnisse
1
Learning Quantum Hamiltonians at Any Temperature in Polynom..:
, In:
Proceedings of the 56th Annual ACM Symposium on Theory of Computing
,
Bakshi, Ainesh
;
Liu, Allen
;
Moitra, Ankur
. - p. 1470-1477 , 2024
Link:
https://dl.acm.org/doi/10.1145/3618260.3649619
RT T1
Proceedings of the 56th Annual ACM Symposium on Theory of Computing
: T1
Learning Quantum Hamiltonians at Any Temperature in Polynomial Time
UL https://suche.suub.uni-bremen.de/peid=acm-3649619&Exemplar=1&LAN=DE A1 Bakshi, Ainesh A1 Liu, Allen A1 Moitra, Ankur A1 Tang, Ewin PB ACM YR 2024 K1 Gibbs state K1 Hamiltonian learning K1 constraint system K1 critical temperature K1 efficient algorithm K1 polynomial approximation K1 sum-of-squares K1 Theory of computation K1 Quantum information theory SP 1470 OP 1477 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3618260.3649619 DO https://dl.acm.org/doi/10.1145/3618260.3649619 SF ELIB - SuUB Bremen
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