Jonas Helsen: Shadow sequence estimation: a primitive for learning gate set noise

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United States QuICS
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Published on ● Video Link: https://www.youtube.com/watch?v=UmVbbt_KcqI


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In this talk I want to introduce shadow sequence estimation. This is a protocol for learning noise in (random) quantum circuits in a flexible and scalable manner. It arises essentially as a combination of randomised shadow estimation (in the Huang-Kueng-Preskill sense) and randomised benchmarking, a time-honoured gate-fidelity estimation protocol. I will introduce the protocol, sketch the mathematics behind its correctness and scalability, and then I will (hopefully) demonstrate its usefulness through several example estimation protocols, namely unitary optimisation, crosstalk tomography and a robust state shadow estimation protocol.

This talk is based on arXiv: 2110.13178.



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quantum computing