Noise tailoring for error mitigation and for diagnozing digital quantum computers
Oral-In-person · Withdrawn
Abstract
Error mitigation (EM) methods are crucial for obtaining reliable results in the realm of noisy intermediate-scale quantum (NISQ) computers, where noise significantly impacts output accuracy. Some EM protocols are particularly efficient for specific types of noise. Yet the noise in the actual hardware may not align with that.
In this talk, I will introduce "noise-tailoring" (NT) — an innovative strategy designed to modify the structure of the noise associated with two-qubit gates through statistical sampling. I will discuss the application of NT for narrow, yet deep quantum circuits.
We have performed classical emulations of the method and also used it on IBM Falcon quantum processors. While classical emulations predict that NT+EM result can be up to an order of magnitude more accurate than the result of EM alone, the runs on actual quantum computers do not show such an improvement.
A detailed analysis of the above discrepancy leads to insights into the nature of noise on real-life quantum computers. This makes the NT technique an important instrument for diagnozing and understanding the noise of quantum computers.
In this talk, I will introduce "noise-tailoring" (NT) — an innovative strategy designed to modify the structure of the noise associated with two-qubit gates through statistical sampling. I will discuss the application of NT for narrow, yet deep quantum circuits.
We have performed classical emulations of the method and also used it on IBM Falcon quantum processors. While classical emulations predict that NT+EM result can be up to an order of magnitude more accurate than the result of EM alone, the runs on actual quantum computers do not show such an improvement.
A detailed analysis of the above discrepancy leads to insights into the nature of noise on real-life quantum computers. This makes the NT technique an important instrument for diagnozing and understanding the noise of quantum computers.
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Publication: Thibault Scoquart, Hugo Perrin, and Kyrylo Snizhko, "Noise tailoring for error mitigation and for diagnozing digital quantum computers", in preparation.
Presenters
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Kyrylo Snizhko
- CEA Grenoble