Blake Johnson
APS March Meeting 2024
Efficient prediction of many quantum state properties is crucial for quantum information processing. Through the use of randomized measurements and shallow circuits, classical shadow tomography emerges as a highly efficient, promising approach compatible with near-term quantum processors. This work presents the Robust Shallow Shadow (RSS) method, designed to operate effectively mitigate correlated noise, and provides a theoretical analysis of RSS behavior within the shallow-circuit region. We further illustrate the efficacy of RSS by demonstrating its performance using superconducting quantum processors.
Blake Johnson
APS March Meeting 2024
Itay Griniasty, David Hathcock, et al.
APS March Meeting 2024
Pauline J. Ollitrault, Abhinav Kandala, et al.
PRResearch
Max Rossmannek, Fabijan Pavošević, et al.
ACS Fall 2023