Global ETD Search
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 11 of 11 for “"Quantum annealing"”.
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Optimizing Quantum Circuit Layout using Quantum Annealing
Quantum computing has garnered significant interest due to its theoretical potential for exponential speedup in computations. This advantage arises from the unique properties of quantum mechanics, which enable quantum bits (qubits) to exist in multiple states simultaneously and to become entangled. …
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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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Disordered systems and quantum algorithms: from spin glasses to neural networks
This thesis investigates how quantum algorithms can solve disordered systems, with a focus on spin glasses and neural networks. We first introduce several examples of disordered systems and have an overview of spin glasses. Then we introduce a cyclic quantum annealing protocol on D-Wave’s …
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Effectively Encoding SAT and Other Intractable Problems into Ising Models for Quantum Computing
Quantum computing theory posits that a computer exploiting quantum mechanics can be strictly more powerful than classical models. Several quantum computing devices are under development, but current technology is limited by noise sensitivity. Quantum Annealing is an alternative approach that uses a …
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Surrogate Model Optimisation for PWR Fuel Management
… perceptrons), the fission matrix and simulated quantum annealing. The models are used to predict core parameters of reactors in simplified optimisation scenarios for a microcore, a small modular reactor, and a ‘standard’ PWR. The experiments with deep learning models show that competitive …
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Hybrid classical-quantum optimization algorithms in electromagnetic applications
… the algorithmic side, the work investigates both quantum and classical physics-based Ising solvers. Quantum annealing is implemented on D-Wave quantum processing units (QPUs) and used to solve medium-scale instances, and a hybrid classical–quantum divide-and-conquer scheme is developed that …
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Many-body entangled dynamics of closed and open systems for quantum simulators
When D-wave was founded in 1999, quantum computing was still an ambitious vision. In the past five years, quantum computing has moved from this vision to a very reachable goal with major companies such as Google, IBM, Intel, and Microsoft investigating quantum computation investing in this …
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Quantum-related approaches for solving optimization problems: From applications to backend
L'abstract è presente nell'allegato / the abstract is in the attachment
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Computational studies of thermal and quantum phase transitions approached through non-equilibrium quenching
… of statistical physics for both classical and quantum systems. Phase transitions embody diverse aspects of physics and also have numerous applications outside physics, e.g., in chemistry, biology, and combinatorial optimization problems in computer science. Many problems can be reduced to a …
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Design and implementation of low size, weight, and power (SWaP) systems for mobile quantum networks
Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2024-05-01
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Efficient characterization and optimization of smart wireless environments
Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2027-05-01