Zobrazeno 1 - 10
of 16
pro vyhledávání: '"George S. Barron"'
Autor:
John S. Van Dyke, Karunya Shirali, George S. Barron, Nicholas J. Mayhall, Edwin Barnes, Sophia E. Economou
Publikováno v:
Physical Review Research, Vol 6, Iss 1, p L012030 (2024)
Adaptive variational quantum simulation algorithms use information from a quantum computer to dynamically create optimal trial wave functions for a given problem Hamiltonian. A key ingredient in these algorithms is a predefined operator pool from whi
Externí odkaz:
https://doaj.org/article/d40cef3449f3451a9c214b0f31b9820b
Publikováno v:
npj Quantum Information, Vol 9, Iss 1, Pp 1-8 (2023)
Abstract Variational quantum eigensolvers (VQEs) represent a powerful class of hybrid quantum-classical algorithms for computing molecular energies. Various numerical issues exist for these methods, however, including barren plateaus and large number
Externí odkaz:
https://doaj.org/article/659ec32feb26420381012dc4bc394145
Autor:
Oinam Romesh Meitei, Bryan T. Gard, George S. Barron, David P. Pappas, Sophia E. Economou, Edwin Barnes, Nicholas J. Mayhall
Publikováno v:
npj Quantum Information, Vol 7, Iss 1, Pp 1-11 (2021)
Abstract The variational quantum eigensolver is currently the flagship algorithm for solving electronic structure problems on near-term quantum computers. The algorithm involves implementing a sequence of parameterized gates on quantum hardware to ge
Externí odkaz:
https://doaj.org/article/ed031a80d25e4753873ffb3b3b7e51ac
Publikováno v:
npj Quantum Information, Vol 9, Iss 1, Pp 1-1 (2023)
Externí odkaz:
https://doaj.org/article/1182513d99f64930832e17bca9417e17
Autor:
Linghua Zhu, Ho Lun Tang, George S. Barron, F. A. Calderon-Vargas, Nicholas J. Mayhall, Edwin Barnes, Sophia E. Economou
Publikováno v:
Physical Review Research, Vol 4, Iss 3, p 033029 (2022)
The quantum approximate optimization algorithm (QAOA) is a hybrid variational quantum-classical algorithm that solves combinatorial optimization problems. While there is evidence suggesting that the fixed form of the standard QAOA Ansatz is not optim
Externí odkaz:
https://doaj.org/article/cb86e4ebed704048952d4835c6cd6177
Publikováno v:
PRX Quantum, Vol 2, Iss 4, p 040329 (2021)
Several quantum many-body models in one dimension possess exact solutions via the Bethe ansatz method, which has been highly successful for understanding their behavior. Nevertheless, there remain physical properties of such models for which analytic
Externí odkaz:
https://doaj.org/article/d86bf60d16b444898f7254a1261d69bb
Autor:
Ho Lun Tang, V.O. Shkolnikov, George S. Barron, Harper R. Grimsley, Nicholas J. Mayhall, Edwin Barnes, Sophia E. Economou
Publikováno v:
PRX Quantum, Vol 2, Iss 2, p 020310 (2021)
Quantum simulation, one of the most promising applications of a quantum computer, is currently being explored intensely using the variational quantum eigensolver. The feasibility and performance of this algorithm depend critically on the form of the
Externí odkaz:
https://doaj.org/article/09468fa5697d455eb3a36d7fffdb9e3e
Autor:
Linghua Zhu, Ho Lun Tang, George S. Barron, F. A. Calderon-Vargas, Nicholas J. Mayhall, Edwin Barnes, Sophia E. Economou
The quantum approximate optimization algorithm (QAOA) is a hybrid variational quantum-classical algorithm that solves combinatorial optimization problems. While there is evidence suggesting that the fixed form of the standard QAOA Ansatz is not optim
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c0e5cbcb4978054b579fbf586a98a069
https://hdl.handle.net/10919/112327
https://hdl.handle.net/10919/112327
Publikováno v:
PRX Quantum. 2
Several quantum many-body models in one dimension possess exact solutions via the Bethe ansatz method, which has been highly successful for understanding their behavior. Nevertheless, there remain physical properties of such models for which analytic
Autor:
David P. Pappas, Oinam Romesh Meitei, Bryan T. Gard, George S. Barron, Sophia E. Economou, Edwin Barnes, Nicholas J. Mayhall
Publikováno v:
npj Quantum Information, Vol 7, Iss 1, Pp 1-11 (2021)
The variational quantum eigensolver is currently the flagship algorithm for solving electronic structure problems on near-term quantum computers. The algorithm involves implementing a sequence of parameterized gates on quantum hardware to generate a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6400819e21ec934f2e8e366a390708bb
https://hdl.handle.net/10919/106682
https://hdl.handle.net/10919/106682