122 citations · 588 across the 19 of their papers we have counts for
4 papers · 1 filter
Quadratic Clifford expansion for efficient benchmarking and initialization of variational quantum algorithms
Kosuke Mitarai, Yasunari Suzuki, Wataru Mizukami +2
Variational quantum algorithms are considered to be appealing applications of near-term quantum computers. However, it has been unclear whether they can outperform classical algori…
Solving Quasiparticle Band Spectra of Real Solids using Neural-Network Quantum States
Nobuyuki Yoshioka, Wataru Mizukami, Franco Nori
Establishing a predictive ab initio method for solid systems is one of the fundamental goals in condensed matter physics and computational materials science. The central challenge…
Variational Quantum Simulation for Periodic Materials
Nobuyuki Yoshioka, Takeshi Sato, Yuya O. Nakagawa +2
We present a quantum-classical hybrid algorithm that simulates electronic structures of periodic systems such as ground states and quasiparticle band structures. By extending the u…
Deep Variational Quantum Eigensolver: a divide-and-conquer method for solving a larger problem with smaller size quantum computers
Keisuke Fujii, Kaoru Mizuta, Hiroshi Ueda +3
We propose a divide-and-conquer method for the quantum-classical hybrid algorithm to solve larger problems with small-scale quantum computers. Specifically, we concatenate a variat…