KS
Kenji Sugisaki
Deloitte Tohmatsu LLC, Keio University, Graduate School of Science, Osaka City University, Osaka City University, Osaka Metropolitan University
Employment
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Deloitte Tohmatsu LLC Senior Consultant2025 - Present
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Keio University Project Associate Professor2023 - 2025
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Keio University KQCC Researcher2023 - 2025
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Osaka Metropolitan University Special Appointment Lecturer2022 - 2023
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Japan Science and Technology Agency PRESTO Researcher2019 - 2023
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Osaka City University Special Appointment Lecturer2016 - 2022
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Osaka City University Special Appointment Assistant Professor2013 - 2016
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Osaka City University Postdoctoral Researcher2008 - 2013
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Osaka City University Research Associate2006 - 2008
Education
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Graduate School of Science, Osaka City University Doctor in Science2004 - 2006
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Graduate School of Science, Osaka City University Master of Science2003 - 2004
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Osaka City University Bachelor1999 - 2003
Projects & Funding
Projects & funding information is unavailable.
Publications (77)
- Assessing advantage from quantum linear solvers for graph-based problems Save
- Tensor-based phase difference estimation on time-series analysis Save
- Optimizing a parameterized controlled gate using free quaternion selection Save
- Direct Energy Gap Calculations in Heisenberg Spin Systems Using Superconducting Quantum Devices Save
- Conventional ESR Spectral Analyses and Quantum Chemical Calculations of High-Spin Cobalt(II) Complexes with Large ZFS Parameters Revisited: Exact g- and Hyperfine Tensors’ Relationships Between Fictitious Spin-1/2 and True spin-3/2 Hamiltonian Approaches Save
- Quantum annealing eigensolver as a NISQ era tool for probing strong correlation effects in quantum chemistry Save
- Trapped ion quantum hardware demonstration of energy calculations using a multireference unitary coupled cluster ansatz: application to the BeH$$_2$$ insertion problem Save
- Concurrent processing of VQE-UCCSD calculations with the FMO scheme Save
- Tensor-based quantum phase difference estimation for large-scale demonstration Save
- Enhancing the Harrow-Hassidim-Lloyd (HHL) algorithm in systems with large condition numbers Save