21 citations · 76 across the 16 of their papers we have counts for
17 papers
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…
Point-group symmetry analysis of many-electron wavefunctions on a quantum computer
Rei Sakuma, Kenji Sugisaki, Shu Kanno +2
A point group is a set of spatial symmetry operations in molecular systems and is an indispensable tool for analyzing molecular orbitals and spectroscopy experiments in chemistry.…
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…
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…
Quantum Simulations for Extreme Ultraviolet Photolithography
Tyler D. Kharazi, Stepan Fomichev, Shu Kanno +4
A key challenge of extreme ultraviolet (EUV) lithography in semiconductor fabrication is the line edge roughness or "blur" produced by the electron cascades following absorption of…
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…
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…
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…
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…
Optimizing a parameterized controlled gate using Free Quaternion Selection
Hiroyoshi Kurogi, Katsuhiro Endo, Yuki Sato +6
In variational quantum algorithms, parameterization is typically applied to single-qubit gates.In this study, we instead parameterize a generalized controlled gate and propose an a…
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…
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…
Quantum channel decomposition with pre- and post-selection
Ryo Nagai, Shu Kanno, Yuki Sato +1
The quantum channel decomposition techniques, which contain the so-called probabilistic error cancellation and gate/wire cutting, are powerful approach for simulating a hard-to-imp…
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…
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…
Excited state calculations using variational quantum eigensolver with spin-restricted ansätze and automatically-adjusted constraints
Shigeki Gocho, Hajime Nakamura, Shu Kanno +4
The ground and excited state calculations at key geometries, such as the Frank-Condon (FC) and the conical intersection (CI) geometries, are essential for understanding photophysic…
Quantum algorithm for a chemical reaction path optimization by using a variational quantum algorithm and a reaction path generation
Shu Kanno
The search for new computational tasks of quantum chemistry that can be performed on current quantum computers is important for the development of quantum computing and quantum che…