Results 1 to 10 of about 1,190 (203)
Goal seeking Quadratic Unconstrained Binary Optimization
The Quadratic Unconstrained Binary Optimization (QUBO) modeling and solution framework is a requirement for quantum and digital annealers. However optimality for QUBO problems of any practical size is extremely difficult to achieve.
Amit Verma, Mark Lewis
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Application of QUBO solver using black-box optimization to structural design for resonance avoidance
Quadratic unconstrained binary optimization (QUBO) solvers can be applied to design an optimal structure to avoid resonance. QUBO algorithms that work on a classical or quantum device have succeeded in some industrial applications.
Tadayoshi Matsumori +2 more
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Strategic Portfolio Optimization Using Simulated, Digital, and Quantum Annealing
In this work, we introduce a new workflow to solve portfolio optimization problems on annealing platforms. We combine a classical preprocessing step with a modified unconstrained binary optimization (QUBO) model and evaluate it using simulated annealing (
Jonas Lang +2 more
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The quadratic unconstrained binary optimization (QUBO) problem is categorized as an NP-hard combinatorial optimization problem. The variable neighborhood search (VNS) algorithm is one of the leading algorithms used to solve QUBO problems. As neighborhood
Dhidhi Pambudi, Masaki Kawamura
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Trip Planning Based on subQUBO Annealing
The trip planning problem (TPP) can be formulated as a combinatorial optimization problem that searches for the best route to visit a series of landmarks and hotels.
Tatsuya Noguchi +3 more
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Quantum annealing is a global optimization algorithm that uses the quantum tunneling effect to speed-up the search for an optimal solution. Its current hardware implementation relies on D-Wave’s Quantum Processing Units, which are limited in terms of ...
Sizhuo Yu, Sizhuo Yu, Tahar Nabil
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Cinco cosas que le pido al BIM, una reflexión profesional y docente
La forma en que se generaba documentación gráfica para la construcción de edificios no volvió a ser la misma desde la introducción del CAD -Computer Aided Design /Diseño Asistido por Ordenador hace más de tres décadas. Ahora, con la inminente/inexcusable
David Valverde Cantero +1 more
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A QUBO Model for the Traveling Salesman Problem with Time Windows
This work focuses on expressing the TSP with Time Windows (TSPTW for short) as a quadratic unconstrained binary optimization (QUBO) problem. The time windows impose time constraints that a feasible solution must satisfy. These take the form of inequality
Christos Papalitsas +4 more
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The advent of quantum computing can potentially revolutionize how complex problems are solved. This article proposes a two-loop quantum-classical solution algorithm for generation scheduling by infusing quantum computing, machine learning, and ...
Reza Mahroo, Amin Kargarian
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We analyze the transformation of quadratic unconstrained binary optimization (QUBO) from its conventional Boolean presentation into an equivalent spin-glass problem with coupled ±1 spin variables exposed to a site-dependent external field.
Stefan Boettcher
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