Noise-robustness and experimental data of wavelet-DMERA preparation for critical Ising ground state
APA
Sewell, T. (2020). Noise-robustness and experimental data of wavelet-DMERA preparation for critical Ising ground state. Perimeter Institute. https://pirsa.org/20110054
MLA
Sewell, Troy. Noise-robustness and experimental data of wavelet-DMERA preparation for critical Ising ground state. Perimeter Institute, Nov. 17, 2020, https://pirsa.org/20110054
BibTex
@misc{ pirsa_PIRSA:20110054, doi = {10.48660/20110054}, url = {https://pirsa.org/20110054}, author = {Sewell, Troy}, keywords = {Quantum Fields and Strings}, language = {en}, title = {Noise-robustness and experimental data of wavelet-DMERA preparation for critical Ising ground state}, publisher = {Perimeter Institute}, year = {2020}, month = {nov}, note = {PIRSA:20110054 see, \url{https://pirsa.org}} }
University of Maryland, College Park
Talk Type
Subject
Abstract
Multi-scale tensor networks offer a way to efficiently represent ground states of critical systems and may be adapted for state-preparation on a quantum computer. The tensor network for a single scale specifies a quantum channel whose fixed-point is a subregion of the approximate critical ground state. The fixed-point of a noisy channel is perturbed linearly in the noise parameter from the ideal state, making local observables stable against errors for these iterative algorithms. We consider the wavelet-designed circuit for the 1+1D critical Ising ground state as a concrete example to numerically test the noise robustness against our error models and compare the smallest instance case with an implementation on a present-day ion-trap quantum computer.