Matchgate shadows for fermionic quantum simulation
Presented by Kianna Wan (Stanford, Google AI)
In this talk, I'll describe new tomographic protocols for efficiently estimating various fermionic quantities, including both local observables (i.e., expectation values of local fermionic operators) and certain global properties (e.g., inner products between an unknown quantum state and arbitrary fermionic Gaussian states). Our protocols are based on classical shadows arising from random matchgate circuits.
4:00 pm, Wednesday, September 27, 2023
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