output
20092026
most citedElectronic properties and applications of MXenes: a theoretical review

1.2k citations

Showing 2021Show all

50 papers · 1 filter

quant-ph2021★ 13 cited

Automatic quantum circuit encoding of a given arbitrary quantum state

Tomonori Shirakawa, Hiroshi Ueda, Seiji Yunoki

We propose a quantum-classical hybrid algorithm to encode a given arbitrarily quantum state onto an optimal quantum circuit with a finite numbe…

physics.flu-dyn2021★ 18 cited

Numerical analysis of the efficiency of face masks for preventing droplet airborne infections

Keiji Onishi, Akiyoshi Iida, Masashi Yamakawa +1

In this study, the flow field around face masks was visualized and evaluated using computational fluid dynamics. The protective efficiency of face masks suppressing droplet infecti…

cond-mat.quant-gas2021★ 5 cited

Universal and Non-Universal Correction Terms of Bose Gases in Dilute Region: a Quantum Monte Carlo Study

Akiko Masaki-Kato, Yuichi Motoyama, Naoki Kawashima

We study dilute gases of interacting bosons at zero-temperature in the region where the system is characterized only by the s-wave scattering length. We carry out quantum Monte Car…

astro-ph.GA2021

Grouped star formation: converting sink particles to stars in hydrodynamical simulations

K. Y. Liow, S. Rieder, C. L. Dobbs +1

Modelling star formation and resolving individual stars in numerical simulations of molecular clouds and galaxies is highly challenging. Simulations on very small scales can be suf…

quant-ph2021★ 18 cited

Spatial, spin, and charge symmetry projections for a Fermi-Hubbard model on a quantum computer

Kazuhiro Seki, Seiji Yunoki

We propose an extended version of the symmetry-adapted variational-quantum-eigensolver (VQE) and apply it to a two-component Fermi-Hubbard model on a bipartite lattice. In the exte…

cond-mat.str-el2021★ 40 cited

High pressure hydrogen by machine learning and quantum Monte Carlo

Andrea Tirelli, Giacomo Tenti, Kousuke Nakano +1

We have developed a technique combining the accuracy of quantum Monte Carlo in describing the electron correlation with the efficiency of a Machine Learning Potential (MLP). We use…