Global ETD Search
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Showing 1 to 5 of 5 for “"Quadratic Unconstrained Binary Optimization"”.
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From Electron Glasses to Quantum Machine Learning: A Study in Quadratic Unconstrained Binary Optimization
Quadratic unconstrained binary optimization (QUBO) problems are of paramount importance in scientific and industrial applications as many interesting non-deterministic polynomial (NP)- hard problems can be mapped to them. QUBO is a subset of combinatorial optimization in which one seeks the global …
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Combinatorial optimization using quantum computing
… explores quantum computing for combinatorial optimization through the Traveling Salesman Problem (TSP), which aims to find a minimum-cost Hamiltonian cycle visiting each city exactly once. Using Qiskit, we implement the Quantum Approximate Optimization Algorithm (QAOA) on both simulators and …
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Quantum-Powered Battery Scheduling in Modern Distribution Grids
… system of the future. Using a constrained quadratic model (CQM) on D-Wave’s hybrid solver as well as a binary quadratic model (BQM), this thesis solves the optimal battery scheduling problem for a large number of batteries. To formulate the BQM, a quadratic unconstrained binary optimization …
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Quantum computing for biophysical and optimization problems
… machine learning model that incorporates a QUBO (Quadratic Unconstrained Binary Optimization) encoding of the design problem that is amenable to adiabatic quantum platforms such as the D-Wave device. For the polymer sampling problem — where the objective is to sample both the sequence and the …
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Engineering quantum computing technologies: from compact modelling to applications
L'abstract è presente nell'allegato / the abstract is in the attachment