17 citations · 36 across the 9 of their papers we have counts for
9 papers
SU(4) gate design via unitary process tomography: its application to cross-resonance based superconducting quantum devices
Michihiko Sugawara, Takahiko Satoh
We present a novel approach for implementing pulse-efficient SU(4) gates on cross resonance (CR)-based superconducting quantum devices. Our method introduces a parameterized unitar…
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…
Impact of Measurement Noise on Escaping Saddles in Variational Quantum Algorithms
Eriko Kaminishi, Takashi Mori, Michihiko Sugawara +1
Stochastic gradient descent (SGD) is a frequently used optimization technique in classical machine learning and Variational Quantum Eigensolver (VQE). For the implementation of VQE…
Noise Robustness of Quantum Relaxation for Combinatorial Optimization
Kentaro Tamura, Yohichi Suzuki, Rudy Raymond +5
QRAO (Quantum Random Access Optimization) is a relaxation algorithm that reduces the number of qubits required to solve a problem by encoding multiple variables per qubit using QRA…
The generative quantum eigensolver (GQE) and its application for ground state search
Kouhei Nakaji, Lasse Bjørn Kristensen, Ryota Kemmoku +14
We introduce the generative quantum eigensolver (GQE), a new quantum computational framework that operates outside the variational quantum algorithm paradigm by applying classical…
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…
Digital quantum simulator for the time-dependent Dirac equation using discrete-time quantum walks
Shigetora Miyashita, Takahiko Satoh, Michihiko Sugawara +5
We introduce a quantum algorithm for simulating the time-dependent Dirac equation in 3+1 dimensions using discrete-time quantum walks. Thus far, promising quantum algorithms have b…
Variational quantum algorithm for generalized eigenvalue problems and its application to the finite element method
Yuki Sato, Hiroshi C. Watanabe, Rudy Raymond +5
Generalized eigenvalue problems (GEPs) play an important role in the variety of fields including engineering, machine learning and quantum chemistry. Especially, many problems in t…
Pulse-engineered Controlled-V gate and its applications on superconducting quantum device
Takahiko Satoh, Shun Oomura, Michihiko Sugawara +1
In this paper, we demonstrate that, by employing OpenPulse design kit for IBM superconducting quantum devices, the controlled-V gate (CV gate) can be implemented in about half the…