mlsanityData to 14 Oct 2026

Reconquering Bell sampling on qudits: stabilizer learning and testing, quantum pseudorandomness bounds, and more

arXiv 2510.06848 ↗First posted 8 Oct 2025quant-ph cs.CC cs.DScited by 0

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Abstract (arXiv)

Bell sampling is a simple yet powerful tool based on measuring two copies of a quantum state in the Bell basis, and has found applications in a plethora of problems related to stabiliser states and measures of magic. However, it was not known how to generalise the procedure from qubits to d-level systems -- qudits -- for all dimensions d > 2 in a useful way. Indeed, a prior work of the authors (arXiv'24) showed that the natural extension of Bell sampling to arbitrary dimensions fails to provide meaningful information about the quantum states being measured. In this paper, we overcome the difficulties encountered in previous works and develop a useful generalisation of Bell sampling to qudits of all d≥ 2. At the heart of our primitive is a new unitary, based on Lagrange's four-square theorem, that maps four copies of any stabiliser state |Srangle to four copies of its complex conjugate |S^astrangle (up to some Pauli operator), which may be of independent interest. We then demonstrate the utility of our new Bell sampling technique by lifting several known results from qubits to qudits for any d≥ 2: 1. Learning stabiliser states in O(n3) time with O(n) samples; 2. Solving the Hidden Stabiliser Group Problem in tildeO(n3/varepsilon) time with tildeO(n/varepsilon) samples; 3. Testing whether |psirangle has stabiliser size at least dt or is varepsilon-far from all such states in tildeO(n3/varepsilon) time with tildeO(n/varepsilon) samples; 4. Clifford circuits with at most n/2 single-qudit non-Clifford gates cannot prepare pseudorandom states; 5. Testing whether |psirangle has stabiliser fidelity at least 1-varepsilon1 or at most 1-varepsilon2 with O(d2varepsilon2/(varepsilon2-varepsilon1)2) samples if varepsilon1 = O(varepsilon2/d2).

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 19 of its 68 references that are in the map. First posted on arXiv 8 Oct 2025.

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References · 19

  1. 2020Predicting Many Properties of a Quantum System from Very Few Measurementscited by 233
  2. 2023A survey on the complexity of learning quantum statescited by 32
  3. 2023Improved Stabilizer Estimation via Bell Difference Samplingcited by 11
  4. 2023Efficient Learning of Quantum States Prepared With Few Non-Clifford Gatescited by 7
  5. 2021Cryptography from Pseudorandom Quantum Statescited by 6
  6. 2022Low-Stabilizer-Complexity Quantum States Are Not Pseudorandomcited by 6
  7. 2023Pseudorandom unitaries are neither real nor sparse nor noise-robustcited by 5
  8. 2024Stabilizer bootstrapping: A recipe for efficient agnostic tomography and magic estimationcited by 5
  9. 2024Agnostic Tomography of Stabilizer Product Statescited by 4
  10. 2024The state hidden subgroup problem and an efficient algorithm for locating unentanglementcited by 4
  11. 2021Quantum Pseudorandomness and Classical Complexitycited by 3
  12. 2022Quantum Cryptography in Algorithmicacited by 3
7 more
  1. 2024Tolerant Testing of Stabilizer States with Mixed State Inputscited by 3
  2. 2021Quantum commitments and signatures without one-way functionscited by 2
  3. 2022Quantum Pseudoentanglementcited by 2
  4. 2024Single-copy stabilizer testingcited by 2
  5. 2024A note on polynomial-time tolerant testing stabilizer statescited by 2
  6. 2022From the Hardness of Detecting Superpositions to Cryptography: Quantum Public Key Encryption and Commitmentscited by 1
  7. 2024Beyond Bell sampling: stabilizer state learning and quantum pseudorandomness lower bounds on quditscited by 1

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