Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Andrew Tranter"'
Publikováno v:
Physical Review Research, Vol 5, Iss 1, p 013095 (2023)
The contextual subspace variational quantum eigensolver (CS-VQE) is a hybrid quantum-classical algorithm that approximates the ground-state energy of a given qubit Hamiltonian. It achieves this by separating the Hamiltonian into contextual and noncon
Externí odkaz:
https://doaj.org/article/fb669a5538754b6b97155eede82a51fd
Publikováno v:
Physical Review Research, Vol 3, Iss 3, p 033195 (2021)
One limitation of the variational quantum eigensolver algorithm is the large number of measurement steps required to estimate different terms in the Hamiltonian of interest. Unitary partitioning reduces this overhead by transforming the problem Hamil
Externí odkaz:
https://doaj.org/article/8dfeb2a5324c47a3a6811b2fca7a71a9
Publikováno v:
Quantum, Vol 5, p 456 (2021)
We describe the $\textit{contextual subspace variational quantum eigensolver}$ (CS-VQE), a hybrid quantum-classical algorithm for approximating the ground state energy of a Hamiltonian. The approximation to the ground state energy is obtained as the
Externí odkaz:
https://doaj.org/article/9c62d761366b4c8ba1ffee5c7b35f5d6
Publikováno v:
Journal of Chemical Theory and Computation. 19:808-821
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5ddf42507aab991142a98e7a3c8eec8d
https://doi.org/10.1021/acs.jctc.2c00910
https://doi.org/10.1021/acs.jctc.2c00910
The contextual subspace variational quantum eigensolver (CS-VQE) is a hybrid quantum-classical algorithm that approximates the ground-state energy of a given qubit Hamiltonian. It achieves this by separating the Hamiltonian into contextual and noncon
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f5a3332901c7854844dea8f7ac0898b6
Publikováno v:
Postgraduate medical journal. 97(1153)
Postgraduate medical education (PME) quality assurance at Health Education England (HEE) currently relies upon survey data. As no one metric can reflect all aspects of training, and each has its limitations, additional metrics should be explored. At
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c78fad76961ba41d7bb0bbfb960629dc
https://pubmed.ncbi.nlm.nih.gov/33184130
https://pubmed.ncbi.nlm.nih.gov/33184130
One limitation of the variational quantum eigensolver algorithm is the large number of measurement steps required to estimate different terms in the Hamiltonian of interest. Unitary partitioning reduces this overhead by transforming the problem Hamil
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8a1d1ed580b38814a66dc43524fbfabb
Publikováno v:
Entropy
Volume 21
Issue 12
Volume 21
Issue 12
Trotter&ndash
Suzuki decompositions are frequently used in the quantum simulation of quantum chemistry. They transform the evolution operator into a form implementable on a quantum device, while incurring an error&mdash
the Trotter error. T
Suzuki decompositions are frequently used in the quantum simulation of quantum chemistry. They transform the evolution operator into a form implementable on a quantum device, while incurring an error&mdash
the Trotter error. T
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::07468d62407bc94b380f81822c7a84cc
Variational quantum algorithms are promising applications of noisy intermediate-scale quantum (NISQ) computers. These algorithms consist of a number of separate prepare-and-measure experiments that estimate terms in a Hamiltonian. The number of terms
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3c0a0ac01664d8ac1e55c016ac443709
Autor:
Zijun Chen, John M. Martinis, Peter V. Coveney, Julian Kelly, Jarrod R. McClean, Yu Chen, Chris Quintana, Ben Chiaro, Josh Mutus, Amit Vainsencher, Andrew Tranter, Ted White, Ryan Babbush, James Wenner, Ian D. Kivlichan, Andrew Dunsworth, Peter O'Malley, Nan Ding, Anthony Megrant, Daniel Sank, Evan Jeffrey, Jonathan Romero, Peter J. Love, Brooks Campbell, Charles Neil, Alán Aspuru-Guzik, Rami Barends, Pedram Roushan, Hartmut Neven, Austin G. Fowler
Publikováno v:
Physical Review X, Vol 6, Iss 3, p 031007 (2016)
We report the first electronic structure calculation performed on a quantum computer without exponentially costly precompilation. We use a programmable array of superconducting qubits to compute the energy surface of molecular hydrogen using two dist
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::80b0bc7e8165c27744e3368c0d262f61
https://doi.org/10.1103/physrevx.6.031007
https://doi.org/10.1103/physrevx.6.031007