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Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 9 of 9 for “"Quantum Optimization"”.
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Hybrid classical-quantum optimization algorithms in electromagnetic applications
… paradigm for tackling large-scale combinatorial optimization problems. This dissertation develops a unified Ising-based framework for electromagnetic design, with a particular focus on reconfigurable intelligent surfaces (RISs) and antenna array synthesis. A broad class of electromagnetic …
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Quantum-inspired and Quantum Optimization on a Superconducting Quantum Processor
Quantum and Quantum-inspired optimization represent rapidly growing fields that combine classical optimization techniques with either quantum-inspired ideas or quantum hardware to address complex optimization problems. This thesis provides an overview of quantum-inspired optimization as well as …
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Quantum Resources in Quantum Technologies: From Quantum Optimization to Many-Body Physics
Significant progress has been made in quantum technologies over the past decade. Despite this success, a central question remains: to what extent quantum resources are being exploited. This question is crucial not only for benchmarking quantum systems but also to unlock their full potential. This …
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Beyond qubits: Quantum optimization and lattice gauge theories in a qudit framework
Quantum computing holds the promise of tackling problems that are intractable for classical machines, yet the path from current noisy intermediate-scale quantum (NISQ) devices to fault-tolerant processors demands both better algorithms and a deeper understanding of how to exploit the full structure …
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A quantum optimization algorithm for optimal electric vehicle charging station placement for intercity trips
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2025-10-19 without embargo terms
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Exotic vortices in superfluids and matrix product states for quantum optimization and machine learning
… order parameter allows for the presence of half-quantum vortices (HQVs). We numerically search for this object in the variational ground state of a spinor-BEC and find it in certain region of the phase diagram. We provide analytical arguments that suggest that this object is energetically …
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Quantum Advantage via Physics-Inspired Methods in Optimization: Empirical and Theoretical Analysis
Continuous and combinatorial optimization are foundational to science and engineering. While convex optimization can be usually tackled efficiently, large-scale nonconvex optimization and combinatorial optimization remain a significant challenge for classical computation.Physics-inspired quantum …
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Optimizing Quantum Annealing for Trapped Ions: Performance, Resources, and Noise Mitigation
Quantum annealing is a promising method for solving combinatorial optimization problems with quantum computers, but its practical performance on near-term devices is constrained by the architecture of the underlying platform, the presence of noise, and the design of the annealing protocol itself. …
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Nonclassicality in noisy quantum networks
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2024-03-01 without embargo terms