138 citations · 349 across the 25 of their papers we have counts for
10 papers · 1 filter
Quantum-inspired algorithm applied to extreme learning
Iori Takeda, Souichi Takahira, Kosuke Mitarai +1
Quantum-inspired singular value decomposition (SVD) is a technique to perform SVD in logarithmic time with respect to the dimension of a matrix, given access to the matrix embedded…
Optimal Hamiltonian simulation for time-periodic systems
Kaoru Mizuta, Keisuke Fujii
The implementation of time-evolution operators , called Hamiltonian simulation, is one of the most promising usage of quantum computers. For time-independent Hamiltonians, qu…
Pricing multi-asset derivatives by variational quantum algorithms
Kenji Kubo, Koichi Miyamoto, Kosuke Mitarai +1
Pricing a multi-asset derivative is an important problem in financial engineering, both theoretically and practically. Although it is suitable to numerically solve partial differen…
Fast Classical Simulation of Hamiltonian Dynamics by Simultaneous Diagonalization Using Clifford Transformation with Parallel Computation
Yoshiaki Kawase, Keisuke Fujii
Simulating quantum many-body dynamics is important both for fundamental understanding of physics and practical applications for quantum information processing. Therefore, classical…
Simulation and performance analysis of quantum error correction with a rotated surface code under a realistic noise model
Mitsuki Katsuda, Kosuke Mitarai, Keisuke Fujii
The demonstration of quantum error correction (QEC) is one of the most important milestones in the realization of fully-fledged quantum computers. Toward this, QEC experiments usin…
Local variational quantum compilation of a large-scale Hamiltonian dynamics
Kaoru Mizuta, Yuya O. Nakagawa, Kosuke Mitarai +1
Implementing time evolution operators on quantum circuits is important for quantum simulation. However, the standard way, Trotterization, requires a huge numbers of gates to achiev…
A Practical and Scalable Decoder for Topological Quantum Error Correction with Digital Annealer
Jun Fujisaki, Hirotaka Oshima, Shintaro Sato +1
Quantum error correction is one of the most important milestones for realization of large-scale quantum computation. To achieve this, it is essential not only to integrate a large…
Identification of topological phases using classically-optimized variational quantum eigensolver
Ken N. Okada, Keita Osaki, Kosuke Mitarai +1
Variational quantum eigensolver (VQE) is regarded as a promising candidate of hybrid quantum-classical algorithm for the near-term quantum computers. Meanwhile, VQE is confronted w…
Parametric t-Stochastic Neighbor Embedding With Quantum Neural Network
Yoshiaki Kawase, Kosuke Mitarai, Keisuke Fujii
t-Stochastic Neighbor Embedding (t-SNE) is a non-parametric data visualization method in classical machine learning. It maps the data from the high-dimensional space into a low-dim…
Constructing Local Bases for a Deep Variational Quantum Eigensolver for Molecular Systems
Luca Erhart, Kosuke Mitarai, Wataru Mizukami +1
Current quantum computers are limited in the number of qubits and coherence time, constraining the algorithms executable with sufficient fidelity. The variational quantum eigensolv…