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Spintronic hardware unlocks faster, lower-energy optimization, outpacing tested quantum ...
Solving complex optimization problems is central to many modern technologies, from logistics and financial modeling to chip ...
In a breakthrough for high-performance and energy-efficient computing, researchers have demonstrated novel spintronics-based ...
A tool for computing optimal paper-reviewer matches for peer review, subject to constraints and affinity scores. Comes with a simple web server designed for integration with the OpenReview server ...
Abstract: The performance of the Quantum Approximate Optimisation Algorithm (QAOA) in solving the Quadratic Assignment Problem (QAP) is evaluated, with the Variational Quantum Eigensolver (VQE) as a ...
Abstract: The Quadratic Assignment Problem is a a classical constrained optimization problem used to model many real-life applications. We present experiments in solving the Quadratic Assignment ...
We use exact enumeration to characterize the solutions of quadratic unconstrained binary optimization problems of less than 21 variables in terms of their distributions of Hamming distances to ...
On a crisp fall New England day during my junior year of college, I was walking past a subway entrance when a math problem caught my eye. A man was standing near a few brainteasers he had scribbled on ...
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