23 citations · 72 across the 9 of their papers we have counts for
11 papers
Co-occurrence-Aware Quadratic Assignment for Local Feature Matching in Simultaneous Localization and Mapping
Yutaka Yamada, Yohei Hamakawa, Yutaro Ishigaki +2
Local feature matching, which associates keypoints in two images as keypoint pairs, is fundamental to Visual Simultaneous Localization and Mapping (Visual SLAM). Nearest Neighbor (…
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…
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…
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…
Efficient and Scalable Architecture for Multiple-chip Implementation of Simulated Bifurcation Machines
Tomoya Kashimata, Masaya Yamasaki, Ryo Hidaka +1
Ising machines are specialized computers for finding the lowest energy states of Ising spin models, onto which many practical combinatorial optimization problems can be mapped. Sim…
Correlation-diversified portfolio construction by finding maximum independent set in large-scale market graph
Ryo Hidaka, Yohei Hamakawa, Jun Nakayama +1
Correlation-diversified portfolios can be constructed by finding the maximum independent sets (MISs) in market graphs with edges corresponding to correlations between two stocks. T…
Real-time Trading System based on Selections of Potentially Profitable, Uncorrelated, and Balanced Stocks by NP-hard Combinatorial Optimization
Kosuke Tatsumura, Ryo Hidaka, Jun Nakayama +2
Financial portfolio construction problems are often formulated as quadratic and discrete (combinatorial) optimization that belong to the nondeterministic polynomial time (NP)-hard…
Pairs-trading System using Quantum-inspired Combinatorial Optimization Accelerator for Optimal Path Search in Market Graphs
Kosuke Tatsumura, Ryo Hidaka, Jun Nakayama +2
Pairs-trading is a trading strategy that involves matching a long position with a short position in two stocks aiming at market-neutral profits. While a typical pairs-trading syste…