22 citations · 61 across the 5 of their papers we have counts for
6 papers
Kinetic Monte Carlo-Ising Machine Optimization for Atomistic Inverse Design of Solid Electrolytes
Ai Koizumi, Tomofumi Tada, Ryo Tamura
Maximizing ionic conductivity remains a fundamental challenge in the atomistic design of solid electrolytes. To this end, we present a framework that combines kinetic Monte Carlo (…
Resource estimations for the Hamiltonian simulation in correlated electron materials
Shu Kanno, Suguru Endo, Takeru Utsumi +1
Correlated electron materials, such as superconductors and magnetic materials, are regarded as fascinating targets in quantum computing. However, the quantitative resources, specif…
Electronic correlation strength of inorganic electrides from first principles
Shu Kanno, Tomofumi Tada, Takeru Utsumi +2
We present a systematic study clarifying an electronic correlation trend of electrides from first principles. By using the maximally localized Wannier function and the constrained…
Contraction-free quantum state encoding by quantum tunneling in single molecules
Tomofumi Tada, Masateru Taniguchi
Quantum computing is a unique computational approach that promises tremendous performance that cannot be achieved by classical computers, although several problems must be resolved…
Many-body calculations for periodic materials via quantum machine learning
Shu Kanno, Tomofumi Tada
A state-of-the-art method that combines a quantum computational algorithm and machine learning, so-called quantum machine learning, can be a powerful approach for solving quantum m…
One-hundred-nm-scale electronic structure and transport calculations of organic polymers on the K computer
Hiroto Imachi, Seiya Yokoyama, Takami Kaji +3
One-hundred-nm-scale electronic structure calculations were carried out on the K supercomputer by our original simulation code ELSES (http://www.elses.jp/) The present paper report…