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20242026
most citedToward Practical Benchmarks of Ising Machines: A Case Study on the Quadratic Knapsack Problem

9 citations · 10 across the 5 of their papers we have counts for

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5 papers

quant-ph2026

Towards Natural Gas Contract Selection via Quantum-Guided Independent Set Reduction

Vivek Dixit, Vaibhaw Kumar, Kentaro Ohno +2

Selecting mutually compatible natural gas transportation contracts is a practically important optimization task in which operators must choose from many candidate agreements subjec…

quant-ph2026★ 1 cited

Mitigating Precision Errors in Quantum Annealing via Coefficient Reduction of Embedded Hamiltonians

Kentaro Ohno, Nozomu Togawa

Quantum annealing is a quantum algorithm to solve combinatorial optimization problems. In the current quantum annealing devices, the dynamic range of the input Ising Hamiltonian, d…

quant-ph2026

Machine Failure Detection Based on Projected Quantum Models

Larry Bowden, Qi Chu, Bernard Cena +4

Detecting machine failures promptly is of utmost importance in industry for maintaining efficiency and minimizing downtime. This paper introduces a failure detection algorithm base…

quant-ph2025

Enhanced fill probability estimates in institutional algorithmic bond trading using statistical learning algorithms with quantum computers

Axel Ciceri, Austin Cottrell, Joshua Freeland +13

The estimation of fill probabilities for trade orders represents a key ingredient in the optimization of algorithmic trading strategies. It is bound by the complex dynamics of fina…

cond-mat.stat-mech2024★ 9 cited

Toward Practical Benchmarks of Ising Machines: A Case Study on the Quadratic Knapsack Problem

Kentaro Ohno, Tatsuhiko Shirai, Nozomu Togawa

Combinatorial optimization has wide applications from industry to natural science. Ising machines bring an emerging computing paradigm for efficiently solving a combinatorial optim…