1 citations · 1 across the 2 of their papers we have counts for
6 papers
Decomposition of Multi-Qubit Gates for Circuit Cutting
Ryota Tamura, Tomoya Kashimata, Yohei Hamakawa +2
A large-scale quantum circuit can be partitioned into multiple subcircuits through circuit cutting, where each subcircuit is executed multiple times and the expectation value of th…
Edge-of-chaos enhanced quantum-inspired algorithm for combinatorial optimization
Hayato Goto, Ryo Hidaka, Kosuke Tatsumura
Nonlinear dynamical systems with continuous variables can be used for solving combinatorial optimization problems with discrete variables. Numerical simulations of them are also us…
Collaborative filtering based on nonnegative/binary matrix factorization
Yukino Terui, Yuka Inoue, Yohei Hamakawa +2
Collaborative filtering generates recommendations by exploiting user-item similarities based on rating data, which often contains numerous unrated items. To predict scores for unra…
Real-Time Black-Box Optimization for Dynamic Discrete Environments Using Embedded Ising Machines
Tomoya Kashimata, Yohei Hamakawa, Masaya Yamasaki +1
Many real-time systems require the optimization of discrete variables. Black-box optimization (BBO) algorithms and multi-armed bandit (MAB) algorithms perform optimization by repea…
Machine Learning-assisted High-speed Combinatorial Optimization with Ising Machines for Dynamically Changing Problems
Yohei Hamakawa, Tomoya Kashimata, Masaya Yamasaki +1
Quantum or quantum-inspired Ising machines have recently shown promise in solving combinatorial optimization problems in a short time. Real-world applications, such as time divisio…
Enhancing In-vehicle Multiple Object Tracking Systems with Embeddable Ising Machines
Kosuke Tatsumura, Yohei Hamakawa, Masaya Yamasaki +2
A cognitive function of tracking multiple objects, needed in autonomous mobile vehicles, comprises object detection and their temporal association. While great progress owing to ma…