Design and Optimization in Near-Term Quantum Computation
My PhD thesis.
Quantum Optimization
Behavior of analog algorithms
In this work, we explore connections between various “analog” quantum optimization algorithms such as QAOA and annealing, and the limits in which they become approximations of the optimal control strategy.
Approximate optimization of the MaxCut problem with a local spin algorithm
We study the dynamics and practical performance of a quantum-inspired “local tensor” algorithm for approximate optimization of MaxCut problem instances.
Quantum approximate optimization of the long-range Ising model with a trapped-ion quantum simulator
We implement a variational quantum algorithm (QAOA) to approximate the ground-state energy of a long-range Ising model, both quantum and classical, and investigating the algorithm performance on a trapped-ion quantum simulator with up to 40 qubits.