Classical algorithms for quantum mean values
APA
Gosset, D. (2019). Classical algorithms for quantum mean values. Perimeter Institute. https://pirsa.org/19110130
MLA
Gosset, David. Classical algorithms for quantum mean values. Perimeter Institute, Nov. 27, 2019, https://pirsa.org/19110130
BibTex
@misc{ pirsa_PIRSA:19110130, doi = {10.48660/19110130}, url = {https://pirsa.org/19110130}, author = {Gosset, David}, keywords = {Quantum Information}, language = {en}, title = {Classical algorithms for quantum mean values}, publisher = {Perimeter Institute}, year = {2019}, month = {nov}, note = {PIRSA:19110130 see, \url{https://pirsa.org}} }
Institute for Quantum Computing (IQC)
Talk Type
Subject
Abstract
Consider the task of estimating the expectation value of an n-qubit tensor product observable in the output state of a shallow quantum circuit. This task is a cornerstone of variational quantum algorithms for optimization, machine learning, and the simulation of quantum many-body systems. In this talk I will describe three special cases of this problem which are "easy" for classical computers. This is joint work with Sergey Bravyi and Ramis Movassagh.