Improved Bounds for Testing Low Stabilizer Complexity States
Saeed Mehraban, Mehrdad Tahmasbi
摘要
Stabilizer states are fundamental families of quantum states with crucial applications such as error correction, quantum computation, and simulation of quantum circuits. In this paper, we study the problem of testing how close or far a quantum state is to a stabilizer state. We make two contributions: First, we improve the state-of-the-art parameters for the tolerant testing of stabilizer states. In particular, we show that there is an efficient quantum primitive to distinguish if the maximum fidelity of a quantum state with a stabilizer state is ≥ ǫ1 or ≤ ǫ2, given one of them is the case, provided that ǫ2 ≤ ǫ This result improves the parameters in the previous work [AD24] which assumed ǫ2 ≤ e -1/ǫ O(1) Our proof technique extends the toolsets developed in [AD24] by applying a random Clifford map which balances the characteristic function of a quantum state, enabling the use of standard proof techniques from higher-order Fourier analysis for Boolean functions [HHL19, Sam07], where improved testing bounds are available. Second, we study the problem of testing low stabilizer rank states. We show that if for an infinite family of quantum states stabilizer rank is lower than a constant independent of system size, then stabilizer fidelity is lower bounded by an absolute constant. Using a result of [GIKL22], one of the implications of this result is that low approximate stabilizer rank states are not pseudo-random. At the same time our work was completed and posted on arXiv, two other groups [BvDH24, ABD24] independently achieved similar exponential to polynomial improvements for tolerant testing, each using a different approach. Contents
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引用它的顶会 Paper5
- Learning Stabilizer Structure of Quantum StatesSrinivasan Arunachalam, Arkopal DuttSTOC 2026 · 被引用 5 次
- Clifford Testing: Algorithms and Lower BoundsMarcel Hinsche, Zongbo Bao, Philippe van Dordrecht, Jens Eisert 等STOC 2026 · 被引用 4 次
- Stabilizer Bootstrapping: A Recipe for Efficient Agnostic Tomography and Magic EstimationSitan Chen, Weiyuan Gong, Qi Ye, Zhihan ZhangSTOC 2025 · 被引用 4 次
- Polynomial-Time Tolerant Testing Stabilizer StatesSrinivasan Arunachalam, Arkopal DuttSTOC 2025 · 被引用 4 次
- Tolerant Testing of Stabilizer States with a Polynomial Gap via a Generalized Uncertainty RelationZongbo Bao, Philippe van Dordrecht, Jonas HelsenSTOC 2025 · 被引用 1 次
它引用的顶会 Paper4
- Improved Stabilizer Estimation via Bell Difference SamplingSabee Grewal, Vishnu Iyer, William Kretschmer, Daniel LiangSTOC 2024 · 被引用 20 次
- Stabilizer Bootstrapping: A Recipe for Efficient Agnostic Tomography and Magic EstimationSitan Chen, Weiyuan Gong, Qi Ye, Zhihan ZhangSTOC 2025 · 被引用 4 次
- Quadratic Lower Bounds on the Approximate Stabilizer Rank: A Probabilistic ApproachSaeed Mehraban, Mehrdad TahmasbiSTOC 2024 · 被引用 2 次
- Tolerant Testing of Stabilizer States with a Polynomial Gap via a Generalized Uncertainty RelationZongbo Bao, Philippe van Dordrecht, Jonas HelsenSTOC 2025 · 被引用 1 次
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