"Optimizing Quantum Optimization"
|Full Title:||"Optimizing Quantum Optimization"|
|Date & Time:||06 May 2019 at 11:00|
|Event Topic(s):||Computing Techniques Seminar
Stefan Leichenauer, Alphabet X (Google) Abstract:
"Variational algorithms for a gate-based quantum computer, like the QAOA, prescribe a fixed circuit ansatz --- up to a set of continuous parameters --- that is designed to find a low-energy state of a given target Hamiltonian. After reviewing the relevant aspects of the QAOA, I will describe work-in-progress that aims to make the algorithm more efficient. The strategies I will explore are 1) tuning the variational objective function away from the energy expectation value, 2) analytical estimates that allow elimination of some of the gates in the QAOA circuit, and 3) using methods of machine learning to search the design space of nearby circuits for improvements to the original ansatz." Zoom will be available at https://fnal.zoom.us/j/6306058062