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From VQE To SQD: Modern Quantum Algorithms For The Electronic Structure Problem
This thesis investigates sampling-based quantum algorithms for electronic ground state energy estimation, focusing on Quantum-Selected …
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Comparative Analysis of Optimization Methods for Variational Quantum Eigensolvers
This thesis presents a comparative evaluation of optimization methods for Variational Quantum Eigensolvers (VQEs), a hybrid …
Unsupervised Machine Learning with Adiabatic Quantum Computing
In recent years, quantum computing has emerged as a promising paradigm for solving combinatorial optimization problems that are …