85 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Keio UniversityJP11 papers
- IBM Research - TokyoJP4 papers
- École Polytechnique Fédérale de LausanneCH3 papers
- European Theoretical Spectroscopy FacilityBE3 papers
- TCG CrestIN3 papers
- UCLouvainBE3 papers
- IBM Research - AlmadenUS2 papers
- IBM (United States)US2 papers
- QunaSys2 papers
- Skolkovo Institute of Science and TechnologyRU2 papers
- The University of OsakaJP2 papers
- University of OxfordGB2 papers
12 papers · 1 filter
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…
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…
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…
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…
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…
Quantum-Classical Computational Molecular Design of Deuterated High-Efficiency OLED Emitters
Qi Gao, Gavin O. Jones, Michihiko Sugawara +5
This study describes a hybrid quantum-classical computational approach for designing synthesizable deuterated emitters possessing desirable emission quantum efficiencies (Q…
Natural quantum reservoir computing for temporal information processing
Yudai Suzuki, Qi Gao, Ken C. Pradel +2
Reservoir computing is a temporal information processing system that exploits artificial or physical dissipative dynamics to learn a dynamical system and generate the target time-s…
Applications of Quantum Computing for Investigations of Electronic Transitions in Phenylsulfonyl-carbazole TADF Emitters
Qi Gao, Gavin O. Jones, Mario Motta +7
A quantum chemistry study of the first singlet (S1) and triplet (T1) excited states of phenylsulfonyl-carbazole compounds, proposed as useful thermally activated delayed fluorescen…
Calculating transition amplitudes by variational quantum deflation
Yohei Ibe, Yuya O. Nakagawa, Nathan Earnest +4
Variational quantum eigensolver (VQE) is an appealing candidate for the application of near-term quantum computers. A technique introduced in [Higgot et al., Quantum 3, 156 (2019)]…