mlsanityData to 14 Oct 2026

Efficient Learning of Quantum States Prepared With Few Non-Clifford Gates II: Single-Copy Measurements

arXiv 2308.07175 ↗First posted 14 Aug 2023quant-ph cs.LGcited by 0

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Abstract (arXiv)

Recent work has shown that n-qubit quantum states output by circuits with at most t single-qubit non-Clifford gates can be learned to trace distance ε using mathsfpoly(n,2t,1/ε) time and samples. All prior algorithms achieving this runtime use entangled measurements across two copies of the input state. In this work, we give a similarly efficient algorithm that learns the same class of states using only single-copy measurements.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 9 of its 44 references that are in the map. First posted on arXiv 14 Aug 2023.

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References · 9

  1. 2021Quantum advantage in learning from experimentscited by 188
  2. 2021Information-theoretic bounds on quantum advantage in machine learningcited by 96
  3. 2016Efficient quantum tomography IIcited by 54
  4. 2021Exponential separations between learning with and without quantum memorycited by 52
  5. 2023Improved Stabilizer Estimation via Bell Difference Samplingcited by 11
  6. 2020Fast and robust quantum state tomography from few basis measurementscited by 10
  7. 2022Optimal algorithms for learning quantum phase statescited by 10
  8. 2021Efficient Tomography of Non-Interacting Fermion Statescited by 7
  9. 2022Low-Stabilizer-Complexity Quantum States Are Not Pseudorandomcited by 6

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