Some Remarks About Quantum and Classical Local Hamiltonian Optimization and SDP Rounding

Explore key insights on quantum and classical local Hamiltonian optimization and SDP rounding in this hour-long lecture by Ryan O'Donnell from Carnegie Mellon University. Delivered as part of the Rounding Schemes for Quantum Optimization Workshop at the Simons Institute, delve into the intricacies of these advanced topics in quantum computing and optimization theory. Gain a deeper understanding of the similarities and differences between quantum and classical approaches, and learn about the latest developments in SDP rounding techniques applied to local Hamiltonian problems.

Some Remarks About Quantum and Classical Local Hamiltonian Optimization and SDP Rounding