6 citations · 8 across the 4 of their papers we have counts for
4 papers
Enhancing Pauli Correlation Encoding for quantum optimization via systematic expressivity analysis
Riku Usuki, Don Arai, Ken N. Okada +1
Quantum approaches for combinatorial optimization problems have attracted considerable attention in recent years. Among these approaches, Pauli Correlation Encoding (PCE) has emerg…
Neural-network-assisted Monte Carlo sampling trained by Quantum Approximate Optimization Algorithm
Yuichiro Nakano, Ken N. Okada, Keisuke Fujii
Sampling problems are widely regarded as the task for which quantum computers can most readily provide a quantum advantage. Leveraging this feature, the quantum-enhanced Markov cha…
Optimal elemental configuration search in crystal using quantum approximate optimization algorithm
Kazuhide Ichikawa, Genta Hayashi, Satoru Ohuchi +3
Optimal elemental configuration search in crystal is a crucial task to discovering industrially important materials such as lithium-ion battery cathodes. In this paper we present a…
Scalable circuit depth reduction in feedback-based quantum optimization with a quadratic approximation
Don Arai, Ken N. Okada, Yuichiro Nakano +2
Combinatorial optimization problems are one of the areas where near-term noisy quantum computers may have practical advantage against classical computers. Recently a novel feedback…