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On the sample complexity of purity and inner product estimation

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arxiv 2410.12712 v1 pith:K3CUIANV submitted 2024-10-16 quant-ph cs.DScs.ITcs.LGmath.IT

classification quant-phcs.DScs.ITcs.LGmath.IT
keywords quantumepsilonestimationcommunicationinnerproductpuritycomplexity
verification ladder T0 review T1 audit T2 compute T3 formal
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abstract

We study the sample complexity of the prototypical tasks quantum purity estimation and quantum inner product estimation. In purity estimation, we are to estimate $tr(\rho^2)$ of an unknown quantum state $\rho$ to additive error $\epsilon$. Meanwhile, for quantum inner product estimation, Alice and Bob are to estimate $tr(\rho\sigma)$ to additive error $\epsilon$ given copies of unknown quantum state $\rho$ and $\sigma$ using classical communication and restricted quantum communication. In this paper, we show a strong connection between the sample complexity of purity estimation with bounded quantum memory and inner product estimation with bounded quantum communication and unentangled measurements. We propose a protocol that solves quantum inner product estimation with $k$-qubit one-way quantum communication and unentangled local measurements using $O(median\{1/\epsilon^2,2^{n/2}/\epsilon,2^{n-k}/\epsilon^2\})$ copies of $\rho$ and $\sigma$. Our protocol can be modified to estimate the purity of an unknown quantum state $\rho$ using $k$-qubit quantum memory with the same complexity. We prove that arbitrary protocols with $k$-qubit quantum memory that estimate purity to error $\epsilon$ require $\Omega(median\{1/\epsilon^2,2^{n/2}/\sqrt{\epsilon},2^{n-k}/\epsilon^2\})$ copies of $\rho$. This indicates the same lower bound for quantum inner product estimation with one-way $k$-qubit quantum communication and classical communication, and unentangled local measurements. For purity estimation, we further improve the lower bound to $\Omega(\max\{1/\epsilon^2,2^{n/2}/\epsilon\})$ for any protocols using an identical single-copy projection-valued measurement. Additionally, we investigate a decisional variant of quantum distributed inner product estimation without quantum communication for mixed state and provide a lower bound on the sample complexity.

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Cited by 4 Pith papers

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  1. Instance-Optimal Quantum State Certification with Entangled Measurements

    quant-ph 2025-07 accept novelty 9.0 of 10

    Quantum state certification with entangled measurements has copy complexity Θ~(∥σ*∥_{1/2}/ε²), where σ* is the hypothesis state with a small tail of eigenvalues removed.

  2. Instance-Optimal Matrix Multiplicative Weight Update and Its Quantum Applications

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    A new potential-based algorithm achieves instance-optimal O(sqrt(T·S(X||I/d))) regret for matrix LEA with the same complexity as MMWU, using a one-sided Jensen trace inequality.

  3. Information-Theoretic Lower Bounds for Approximating Monomials via Optimal Quantum Tsallis Entropy Estimation

    quant-ph 2025-09 conditional novelty 7.0 of 10

    A quantum estimator achieves near-optimal query complexity for integer-order Tsallis entropy, and the same technique yields a new information-theoretic proof that approximating x^n needs polynomials of degree Ω(√n).

  4. Optimal Distributed Similarity Estimation of Quantum Channels

    quant-ph 2025-12 reject novelty 5.0 of 10

    Settling DSEC at Θ(max{√d/ε,1/ε²}) is claimed, but the general-channel protocol's unbiasedness proof uses a false identity, and explicit non-unital channels break the estimator.

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