5 papers
Tensor Network Formulation of Dequantized Algorithms for Ground State Energy Estimation
Hidetaka Manabe, Takanori Sugimoto, Keisuke Fujii
Verifying quantum advantage for practical problems, particularly the ground state energy estimation (GSEE) problem, is one of the central challenges in quantum computing theory. Fo…
VQE-generated quantum circuit dataset for machine learning
Akimoto Nakayama, Kosuke Mitarai, Leonardo Placidi +2
Quantum machine learning has the potential to computationally outperform classical machine learning, but it is not yet clear whether it will actually be valuable for practical prob…
Self-consistent study of topological superconductivity in two-dimensional quasicrystals
Masahiro Hori, Takanori Sugimoto, Takami Tohyama +1
We study two-dimensional -wave topological superconductivity with Rashba spin-orbit coupling and Zeeman field in Penrose and Ammann-Beenker quasicrystals. By solving the Bogoliu…
Multifractality and Hyperuniformity in Quasicrystalline Bose-Hubbard Models with and without Disorder
Masahiro Hori, Takanori Sugimoto, Yoichiro Hashizume +1
Clarifying similarities and differences in physical properties between crystalline and quasicrystalline systems is one of central issues in studying quasicrystals. To contribute to…
Quantum-circuit algorithms for many-body topological invariant and Majorana zero mode
Takanori Sugimoto
Topological states of matter are promising resources for composing fault-tolerant quantum computers, advancing beyond the limitations of current noisy intermediate-scale quantum de…