134 citations · 154 across the 4 of their papers we have counts for
4 papers
Machine learning supported annealing for prediction of grand canonical crystal structures
Yannick Couzinie, Yuya Seki, Yusuke Nishiya +4
This study investigates the application of Factorization Machines with Quantum Annealing (FMQA) to address the crystal structure problem (CSP) in materials science. FMQA is a black…
Black-box optimization for integer-variable problems using Ising machines and factorization machines
Yuya Seki, Ryo Tamura, Shu Tanaka
Black-box optimization has potential in numerous applications such as hyperparameter optimization in machine learning and optimization in design of experiments. Ising machines are…
Preparing ground states of the XXZ model using the quantum annealing with inductively coupled superconducting flux qubits
Takashi Imoto, Yuya Seki, Yuichiro Matsuzaki
Preparing ground states of Hamiltonians is important in the condensed matter physics and the quantum chemistry. The interaction Hamiltonians typically contain not only diagonal but…
Quantum annealing with antiferromagnetic fluctuations
Yuya Seki, Hidetoshi Nishimori
We introduce antiferromagnetic quantum fluctuations into quantum annealing in addition to the conventional transverse-field term. We apply this method to the infinite-range ferroma…