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pro vyhledávání: '"Aidan Pellow-Jarman"'
Autor:
Aidan Pellow-Jarman, Shane McFarthing, Ilya Sinayskiy, Daniel K. Park, Anban Pillay, Francesco Petruccione
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract The Quantum Approximate Optimization Algorithm (QAOA) is a variational quantum algorithm for Near-term Intermediate-Scale Quantum computers (NISQ) providing approximate solutions for combinatorial optimization problems. The QAOA utilizes a q
Externí odkaz:
https://doaj.org/article/4f12781da6c949c9a140e085e0b99760
Autor:
Hocheol Lim, Doo Hyung Kang, Jeonghoon Kim, Aidan Pellow-Jarman, Shane McFarthing, Rowan Pellow-Jarman, Hyeon-Nae Jeon, Byungdu Oh, June-Koo Kevin Rhee, Kyoung Tai No
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract Quantum computers offer significant potential for complex system analysis, yet their application in large systems is hindered by limitations such as qubit availability and quantum hardware noise. While the variational quantum eigensolver (VQ
Externí odkaz:
https://doaj.org/article/dfd166ae7f7e4143acc2967d81ac3730
Publikováno v:
Quantum Information Processing. 20
Variational Hybrid Quantum Classical Algorithms (VHQCAs) are a class of quantum algorithms intended to run on noisy intermediate-scale quantum (NISQ) devices. These algorithms employ a parameterized quantum circuit (ansatz) and a quantum-classical fe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ac99e484189681f5150415b1ec0630de
https://doi.org/10.1007/s11128-021-03140-x
https://doi.org/10.1007/s11128-021-03140-x