Results 31 to 40 of about 2,364,396 (151)
Multi-Objective Optimization Technique Based on QUBO and an Ising Machine
IEEE AccessWith an increase in the complexity of society, solving multi-objective optimization problems (MOPs) has become crucial. In this study, we introduced a novel method called “quadratic unconstrained binary optimization based on the weighted normal ...
Hiroshi Ikeda, Takashi Yamazaki
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Q‐LEAP: Millisecond Hyperdimensional Optimization for Full‐Spectrum Optical Metamaterials
Advanced Science, EarlyView.Q‐LEAP integrates physics‐informed residual machine learning with factorization‐machine‐encoded quantum annealing to design full‐spectrum optical metamaterials. It explores a 2108 design space and, in a single 2.56 ms annealing step, reaches 85.83% of the theoretical FoM limit, enabling selective 5‐8 µm emission with 3–5 and 8–14 µm suppression and ∼40×
Zikang Guo +3 more
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IEEE AccessIsing machines, including quantum annealing machines, are promising next-generation computers for combinatorial optimization problems. However, due to hardware limitations, most Ising-type hardware can only solve objective functions expressed in linear ...
Kazuki Ikeuchi +2 more
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Advanced Science, EarlyView.This Perspective charts the modeling landscape for soft manipulators, spanning sparse system identification, neural dynamics, physics‐informed models and hybrid intelligence. We examine how physics, data, sensing, adaptation and control can assume complementary roles within this landscape, and provide a framework for selecting modeling approaches ...
Wenbo Hui +4 more
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Drought Exposure and Dynamic Input Adjustment in North Central U.S. Agriculture
Agribusiness, EarlyView.ABSTRACT This article examines whether realized extreme drought episodes affect the speed of adjustment of derived input demands and output supplies toward their long‐run equilibrium in U.S. agriculture, focusing on states in the North Central Region.
Victor H. Lana Pinto +2 more
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QUBO.jl: A Julia Ecosystem for Quadratic Unconstrained Binary Optimization [PDF]
, 2023 We present QUBO.jl, an end-to-end Julia package for working with QUBO (Quadratic Unconstrained Binary Optimization) instances. This tool aims to convert a broad range of JuMP problems for straightforward application in many physics and physics-inspired ...
Andrade, Tiago +5 more
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Communications PhysicsAn important and difficult problem in optimization is the high-order unconstrained binary optimization, which can represent many optimization problems more efficiently than quadratic unconstrained binary optimization, but how to quickly solve it has ...
Bi-Ying Wang +5 more
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Qubit Reduction and Quantum Speedup for Wireless Channel Assignment Problem
IEEE Transactions on Quantum Engineering, 2023 In this article, we propose a novel method of formulating an NP-hard wireless channel assignment problem as a higher-order unconstrained binary optimization (HUBO), where the Grover adaptive search (GAS) is used to provide a quadratic speedup for solving
Yuki Sano +2 more
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Solving (Max) 3-SAT via Quadratic Unconstrained Binary Optimization
, 2023 We introduce a novel approach to translate arbitrary 3-SAT instances to Quadratic Unconstrained Binary Optimization (QUBO) as they are used by quantum annealing (QA) or the quantum approximate optimization algorithm (QAOA).
Nüßlein, Jonas +4 more
core
AIChE Journal, EarlyView.ABSTRACT Conceptual process design combines discrete configuration choices with continuous operating decisions, often yielding difficult mixed‐integer nonlinear or simulation‐based optimization problems. This work presents an exploratory computational assessment of Ising‐based solvers, simulated annealing, quantum annealing, and entropy computing, as ...
Yirang Park, David E. Bernal Neira
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