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# Sample-efficient quantum error mitigation via classical learning surrogates

**[Nature](https://daily.dev/sources/nature)** · 3 min read · 0 upvotes · 0 comments

## Summary

Researchers introduce surrogate-enabled zero-noise extrapolation (S-ZNE), a quantum error mitigation technique that uses classical learning surrogates to perform zero-noise extrapolation on the classical side rather than through repeated quantum measurements. Unlike conventional zero-noise extrapolation, whose measurement cost scales linearly with the number of circuits in a parameterized family, S-ZNE needs only constant measurement overhead regardless of how many circuits are involved. Theoretical analysis and numerical experiments on ground-state energy and quantum metrology tasks with up to 100 qubits show accuracy comparable to conventional zero-noise extrapolation, suggesting the approach could generalize to other quantum error mitigation protocols.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.nature.com/articles/s42005-026-02827-w>

## Questions this post answers

### What is surrogate-enabled zero-noise extrapolation (S-ZNE) in quantum error mitigation?

S-ZNE is a quantum error mitigation technique that performs zero-noise extrapolation entirely on the classical side using classical learning surrogates instead of repeated quantum measurements. While conventional zero-noise extrapolation has measurement cost scaling linearly with the number of circuits in a parameterized family, S-ZNE requires only constant measurement overhead for the entire family, and numerical experiments on up to 100-qubit ground-state energy and quantum metrology tasks confirm accuracy comparable to conventional zero-noise extrapolation.

_Researchers tracking advances in quantum error mitigation can follow developments like this on daily.dev._

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Tags: [#machine-learning](https://daily.dev/tags/machine-learning), [#quantum-computing](https://daily.dev/tags/quantum-computing)

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