Speaker
Description
Simulating and characterizing physical systems is one of the most promising applications of quantum computing. In our research, we focused on electronic structure calculations of gallium arsenide using quantum computer simulator. To access the full energy spectrum we used two variational quantum algorithms (VQAs); Variational Quantum Deflation (VQD) and Subspace Search Variational Quantum Eigensolver (SSVQE). A tight-binding Hamiltonian is used to investigate the effects of optimization methods, hyperparameter tuning, and quantum circuit architecture on the performance of these VQAs. Our findings show that higher-energy states require more iterations for accurate evaluation, with the Constrained Optimization BY Linear Approximation (COBYLA) method proving to be the most effective.
