# Semiquantum Algorithms for Characterization and Verification

**Cassandra Granade**^{1, 2},
joint work with
**Nathan Wiebe**^{3},
Christopher Ferrie^{4}, and
D. G. Cory^{1,5,6}

Primarily based on arXiv:1207.1655, arXiv:1404.5275, and on forthcoming work.

Presented 1 July, 2014 as a presentation at Microsoft Research.

## Abstract

With the increasing scale and complexity of quantum information processing experiments,
new methods are required to characterize and control quantum devices,
and to verify the correct operation of those devices. In particular,
the costs of simulating quantum systems are often a limiting factor in characterizaton
tasks. In this talk, we show how to integrate quantum simulation resources into
sequential Monte Carlo, and how this can alleviate some scaling concerns that
arise in purely classical approaches. We demonstrate the practicality
of our semiquantum algorithm by showing robustness to errors introduced
by finite sampling, and by excluded terms in the trusted simulator.
Finally, we discuss how to use this robustness together with Lieb-Robinson
bounds in order to bootstrap, using smaller quantum resources to characterize
larger devices.

## Bibliography

View on Zotero

## Affiliations

- Institute for Quantum Computing, University of Waterloo.
- Department of Physics, University of Waterloo.
- Microsoft Research.
- Center for Quantum Information and Control, University of New Mexico.
- Department of Chemistry, University of Waterloo.
- Perimeter Institute for Theoretical Physics.