4 citations · 4 across the 2 of their papers we have counts for
2 papers
quant-ph2026
Quantum machine learning interatomic potential: Application of variational quantum algorithm
Kohei Numata, Wataru Mizukami, Kosuke Mitarai +2
This study applied quantum circuit learning, a commonly used hybrid quantum-classical machine learning algorithm, to a machine learning interatomic potential (MLIP) for predicting…
quant-ph2021★ 4 cited
Deep variational quantum eigensolver for excited states and its application to quantum chemistry calculation of periodic materials
Kaoru Mizuta, Mikiya Fujii, Shigeki Fujii +4
A programmable quantum device that has a large number of qubits without fault-tolerance has emerged recently. Variational Quantum Eigensolver (VQE) is one of the most promising way…