Near-Optimal Mixedness Testing with Pauli Measurements
Abstract
We consider a fundamental problem of \emph{mixedness testing}: Given n copies of an N-qubit state Ο, determine whether Ο= πd/d or |Οβπd/d|1 β₯ Ξ΅ with high probability, where d = 2N. In particular, we focus on performing this task in the practical setting of single-qubit measurements, where measurements are prepared independently on each qubit. We provide a nearly complete picture of single-qubit mixedness tesing by showing n = ΞΜ(β(10)N/Ξ΅2). To establish our lower bound, we introduce a measurement-dependent lower bound framework for adaptive single-copy state certification. For the upper bound, we present a randomized Pauli basis measurement protocol, which relies on a new primitive for computationally efficient uniformity testing of correlation-concentrated distributions on the Boolean hypercube. In conjunction, we provide lower and upper bounds for mixedness testing with fixed Pauli measurement protocols.
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BibTeX
@misc{acharya2026nearoptimal,
title = {{Near-Optimal Mixedness Testing with Pauli Measurements}},
author = {Jayadev Acharya and Abhilash Dharmavarapu and Yuhan Liu and Nengkun Yu},
howpublished = {arXiv},
year = {2026},
month = sep,
doi = {10.48550/arxiv.2608.18839},
eprint = {2608.18839},
archivePrefix = {arXiv},
url = {https://arxiv.org/abs/2608.18839},
}
RIS
TY - UNPB
TI - Near-Optimal Mixedness Testing with Pauli Measurements
AU - Jayadev Acharya
AU - Abhilash Dharmavarapu
AU - Yuhan Liu
AU - Nengkun Yu
PY - 2026
DA - 2026/09/23
PB - arXiv
DO - 10.48550/arxiv.2608.18839
UR - https://arxiv.org/abs/2608.18839
AB - We consider a fundamental problem of \emph{mixedness testing}: Given n copies of an N-qubit state Ο, determine whether Ο= π_d/d or |Οβπ_d/d|_1 β₯ Ξ΅ with high probability, where d = 2^N. In particular, we focus on performing this task in the practical setting of single-qubit measurements, where measurements are prepared independently on each qubit. We provide a nearly complete picture of single-qubit mixedness tesing by showing n = ΞΜ(β(10)^N/Ξ΅^2). To establish our lower bound, we introduce a measurement-dependent lower bound framework for adaptive single-copy state certification. For the upper bound, we present a randomized Pauli basis measurement protocol, which relies on a new primitive for computationally efficient uniformity testing of correlation-concentrated distributions on the Boolean hypercube. In conjunction, we provide lower and upper bounds for mixedness testing with fixed Pauli measurement protocols.
ER -