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Random Single-Qubit Measurements Can Reveal an Unknown Code

An algorithm learns stabilizer generators without knowing the code's structure first, and scales polylogarithmically for quantum LDPC codes.

Published Updated Story ID: mp-2026-09-08-012
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Summary

An algorithm learns stabilizer generators without knowing the code's structure first, and scales polylogarithmically for quantum LDPC codes.

Stabilizer codes are usually described by generators that identify their protected subspace. The proposed algorithm infers those generators from copies of states in the codespace using random measurements on individual qubits, without prior structural knowledge. The authors give bounds on the copy count and success probability and note that the same procedure can verify whether a device implements its intended code. For quantum low-density parity-check codes, the required number of states scales polylogarithmically with the number of qubits. This is a theoretical characterization result rather than a full fault-tolerant implementation.

Why it matters

An algorithm learns stabilizer generators without knowing the code's structure first, and scales polylogarithmically for quantum LDPC codes.

Limits and context

No additional limitation was separately recorded.

Key claims

  1. An algorithm learns stabilizer generators without knowing the code's structure first, and scales polylogarithmically for quantum LDPC codes.

    Evidence: source-2026-09-08-012

Sources

  1. arXiv preprint 2609.04997arXiv · primary research

Corrections

No corrections have been recorded for this story.