4 citations · 4 across the 3 of their papers we have counts for
3 papers
quant-ph2024
Simplification of tensor updates toward performance-complexity balanced quantum computer simulation
Koichi Yanagisawa, Tsuyoshi Okubo, Shota Koshikawa +3
Matrix Product States (MPS) provide a powerful framework for simulating quantum circuits. In practical simulations, tensor updates are typically performed in the canonical form (CF…
cs.CV2024
Application of Tensorized Neural Networks for Cloud Classification
Alifu Xiafukaiti, Devanshu Garg, Aruto Hosaka +3
Convolutional neural networks (CNNs) have gained widespread usage across various fields such as weather forecasting, computer vision, autonomous driving, and medical image analysis…
quant-ph2023★ 4 cited
Preconditioning for a Variational Quantum Linear Solver
Aruto Hosaka, Koichi Yanagisawa, Shota Koshikawa +3
We apply preconditioning, which is widely used in classical solvers for linear systems , to the variational quantum linear solver. By utilizing incomplete L…