Low-Stabilizer-Complexity Quantum States Are Not Pseudorandom
Not on the map. Why?
Abstract (arXiv)
We show that quantum states with "low stabilizer complexity" can be efficiently distinguished from Haar-random. Specifically, given an n-qubit pure state |psirangle, we give an efficient algorithm that distinguishes whether |psirangle is (i) Haar-random or (ii) a state with stabilizer fidelity at least frac1k (i.e., has fidelity at least frac1k with some stabilizer state), promised that one of these is the case. With black-box access to |psirangle, our algorithm uses O!left( k12 log(1/δ)right) copies of |psirangle and O!left(n k12 log(1/δ)right) time to succeed with probability at least 1-δ, and, with access to a state preparation unitary for |psirangle (and its inverse), O!left( k3 log(1/δ)right) queries and O!left(n k3 log(1/δ)right) time suffice. As a corollary, we prove that ω(log(n)) T-gates are necessary for any Clifford+T circuit to prepare computationally pseudorandom quantum states, a first-of-its-kind lower bound.
Key facts. Cited by 6 papers in the map (data through 14 Oct 2026). Builds on 3 of its 29 references that are in the map. First posted on arXiv 29 Sep 2022.
Builds on
3 of 29 references.
References · 3
- 2020Predicting Many Properties of a Quantum System from Very Few Measurementscited by 233
- 2019(Pseudo) Random Quantum States with Binary Phasecited by 10
- 2022Optimal algorithms for learning quantum phase statescited by 10
Built on by
Citing papers per year: 2023: 3; 2024: 2; 2025: 1.
6 papers.
- 2023A survey on the complexity of learning quantum statescited by 32
- 2024Learning shallow quantum circuitscited by 20
- 2023Efficient Learning of Quantum States Prepared With Few Non-Clifford Gatescited by 7
- 2023Efficient Learning of Quantum States Prepared With Few Non-Clifford Gates II: Single-Copy Measurementscited by 0
- 2024Noise-tolerant learnability of shallow quantum circuits from statistics and the cost of quantum pseudorandomnesscited by 0
- 2025Reconquering Bell sampling on qudits: stabilizer learning and testing, quantum pseudorandomness bounds, and morecited by 0
- 2025Reconquering Bell sampling on qudits: stabilizer learning and testing, quantum pseudorandomness bounds, and more8 Oct 2025
- 2024Noise-tolerant learnability of shallow quantum circuits from statistics and the cost of quantum pseudorandomness20 May 2024
- 2024Learning shallow quantum circuits18 Jan 2024
- 2023Efficient Learning of Quantum States Prepared With Few Non-Clifford Gates II: Single-Copy Measurements14 Aug 2023
- 2023A survey on the complexity of learning quantum states31 May 2023
- 2023Efficient Learning of Quantum States Prepared With Few Non-Clifford Gates22 May 2023