7 papers
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…
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…
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 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…
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…