activity
20232026
most citedHamiltonian simulation-based quantum-selected configuration interaction for large-scale electronic structure calculations with a quantum computer

21 citations · 60 across the 10 of their papers we have counts for

collaborators

11 papers

quant-ph2026

Quantum--classical break-even in electronic dynamics of macrocyclic molecules

Shu Kanno, Kenji Sugisaki, Takashi Imamichi +5

Here we demonstrate quantum--classical break-even for chemical dynamics applications, reaching useful accuracy with a quantum-hardware wall-clock time comparable to that estimated…

quant-ph2026

Generative Circuit Design for Quantum-Selected Configuration Interaction

Ryota Kemmoku, Qi Gao, Shu Kanno +4

Quantum-selected configuration interaction (QSCI) has emerged as a feasible approach for approximating electronic ground states on noisy quantum devices toward large-system demonst…

quant-ph2026

Auger Spectroscopy via Generative Quantum Eigensolver: A Quantum Approach to Molecular Excitations

Kimberlee Keithley, Shunsuke Yamamoto, Ryota Kenmoku +16

Auger electron spectroscopy, a way of characterizing electronic structure through core-level decay processes, is widely used in materials characterization; however direct calculati…

quant-ph2026

Tensor-based phase difference estimation on time series analysis

Shu Kanno, Kenji Sugisaki, Rei Sakuma +3

We propose a phase-difference estimation algorithm based on the tensor-network circuit compression, leveraging time-evolution data to pursue scalability and higher accuracy on a qu…

quant-ph2025★ 4 cited

Quantum phase estimation based filtering: performance analysis and application to low-energy spectral calculation

Rei Sakuma, Kaito Wada, Shu Kanno +5

Filtering is an important technique in quantum computing used for isolating or enhancing some specific states of quantum many-body systems. In this paper, we analyze the performanc…

quant-ph2025

Efficient implementation of randomized quantum algorithms with dynamic circuits

Shu Kanno, Ikko Hamamura, Rudy Raymond +2

Randomized algorithms are crucial subroutines in quantum computing, but the requirement to execute many types of circuits on a real quantum device has been challenging to their ext…

quant-ph2024★ 21 cited

Hamiltonian simulation-based quantum-selected configuration interaction for large-scale electronic structure calculations with a quantum computer

Kenji Sugisaki, Shu Kanno, Toshinari Itoko +2

Quantum-selected configuration interaction (QSCI) is an approach for quantum chemical calculations using current quantum computers. In conventional QSCI, Slater determinants used f…

quant-ph2024★ 8 cited

Tensor-based quantum phase difference estimation for large-scale demonstration

Shu Kanno, Kenji Sugisaki, Hajime Nakamura +5

We develop an energy calculation algorithm leveraging quantum phase difference estimation (QPDE) scheme and a tensor-network-based unitary compression method in the preparation of…

quant-ph2024★ 7 cited

Entanglement-assisted phase estimation algorithm for calculating dynamical response functions

Rei Sakuma, Shu Kanno, Kenji Sugisaki +2

Dynamical response functions are fundamental quantities to describe the excited-state properties in quantum many-body systems. Quantum algorithms have been proposed to evaluate the…

quant-ph2023

A combined quantum-classical method applied to material design: optimization and discovery of photochromic materials for photopharmacology applications

Qi Gao, Michihiko Sugawara, Paul D. Nation +4

Integration of quantum chemistry simulations, machine learning techniques, and optimization calculations is expected to accelerate material discovery by making large chemical space…

quant-ph2023★ 20 cited

Quantum computing quantum Monte Carlo with hybrid tensor network for electronic structure calculations

Shu Kanno, Hajime Nakamura, Takao Kobayashi +4

Quantum computers have a potential for solving quantum chemistry problems with higher accuracy than classical computers. Quantum computing quantum Monte Carlo (QC-QMC) is a QMC wit…