Results 71 to 80 of about 18,347 (178)
Advanced Modeling and Simulation in Engineering SciencesThis paper explores possible implementations of a quantum annealing-based algorithm, in the Quadratic unconstrained binary optimization method (QUBO) form, to solve the thermo-fluid dynamics problem associated with the design of critical components of ...
Giulio Malinverno, Javier Blasco Alberto
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RinQ: Towards predicting central sites in proteins on current quantum computers
Materials Today QuantumWe introduce RinQ, a hybrid quantum–classical framework for identifying functionally critical residues in proteins by formulating centrality detection as a Quadratic Unconstrained Binary Optimization (QUBO) problem.
Shah Ishmam Mohtashim
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Asymptotic behavior of memristive circuits
, 2019 The interest in memristors has risen due to their possible application both as memory units and as computational devices in combination with CMOS. This is in part due to their nonlinear dynamics, and a strong dependence on the circuit topology.
Caravelli, Francesco
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Quantum ReportsThe optimization of investment portfolios represents a pivotal task within the field of financial economics. Its objective is to identify asset combinations that meet specified criteria for return and risk.
Mirko Mattesi +6 more
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On the HU Aquarii planetary system hypothesis
, 2012 In this work, we investigate the eclipse timing of the polar binary HU Aquarii that has been observed for almost two decades. Recently, Qian et al. attributed large (O-C) deviations between the eclipse ephemeris and observations to a compact system of ...
Beuermann, Klaus +13 more
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Quantum annealing and its variants: application to quadratic unconstrained binary optimization
, 2023 Published by RWTH Aachen University ...
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Improving the Solving of Optimization Problems: A Comprehensive Review of Quantum Approaches
Quantum ReportsOptimization is a crucial challenge across various domains, including finance, resource allocation, and mobility. Quantum computing has the potential to redefine the way we handle complex problems by reducing computational complexity and enhancing ...
Deborah Volpe +2 more
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An Inexact Successive Quadratic Approximation Method for Convex L-1 Regularized Optimization [PDF]
, 2013 We study a Newton-like method for the minimization of an objective function that is the sum of a smooth convex function and an l-1 regularization term. This method, which is sometimes referred to in the literature as a proximal Newton method, computes a ...
Byrd, Richard H. +2 more
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A Polynomial-Time Algorithm for Unconstrained Binary Quadratic Optimization
, 2020 In this paper, an exact algorithm in polynomial time is developed to solve unrestricted binary quadratic programs. The computational complexity is $O\left( n^{\frac{15}{2}}\right) $, although very conservative, it is sufficient to prove that this minimization problem is in the complexity class $P$.
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Lagrangian duality in quantum optimization: Overcoming QUBO limitations for constrained problems
Physical Review ResearchWe propose an approach to solving constrained combinatorial optimization problems based on embedding the concept of Lagrangian duality into the framework of adiabatic quantum computation.
Einar Gabbassov +2 more
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