In this paper, we study the quantum identity testing problem, i.e., testing whether two given quantum states are identical, and quantum independence testing problem, i.e., testing whether a given multipartite quantum state is in tensor product form. For the quantum identity testing problem of 𝒟(ℂ^d) system, we provide a deterministic measurement scheme that uses 𝒪(d²/ε²) copies via independent measurements with d being the dimension of the state and ε being the additive error. For the independence testing problem 𝒟(ℂ^d₁⊗ℂ^{d₂}⊗⋯⊗ℂ^{d_m}) system, we show that the sample complexity is Θ̃((Π_{i = 1}^m d_i)/ε²) via collective measurements, and 𝒪((Π_{i = 1}^m d_i²)/ε²) via independent measurements. If randomized choice of independent measurements are allowed, the sample complexity is Θ(d^{3/2}/ε²) for the quantum identity testing problem, and Θ̃((Π_{i = 1}^m d_i^{3/2})/ε²) for the quantum independence testing problem.
In this paper, we study the quantum identity testing problem, i.e., testing whether two given quantum states are identical, and quantum independence testing problem, i.e., testing whether a given multipartite quantum state is in tensor product form. For the quantum identity testing problem of 𝒟(ℂ^d) system, we provide a deterministic measurement scheme that uses 𝒪(d²/ε²) copies via independent measurements with d being the dimension of the state and ε being the additive error. For the independence testing problem 𝒟(ℂ^d₁⊗ℂ^{d₂}⊗⋯⊗ℂ^{d_m}) system, we show that the sample complexity is Θ̃((Π_{i = 1}^m d_i)/ε²) via collective measurements, and 𝒪((Π_{i = 1}^m d_i²)/ε²) via independent measurements. If randomized choice of independent measurements are allowed, the sample complexity is Θ(d^{3/2}/ε²) for the quantum identity testing problem, and Θ̃((Π_{i = 1}^m d_i^{3/2})/ε²) for the quantum independence testing problem.
We provide simple and efficient testers of problems about quantum independence by collective measurements and independent measurements, respectively. We show that given mixed states ρ,σ∈D(Cd), O(ϵ2d2) copies are sufficient to test whether ρ=σ using independent measurements. Together with the identity tester in collective measurements setting \cite{BOW17}, we prove the following.
Given multipartite mixed state ρ∈D(Cd1⊗Cd2⊗⋯⊗Cdm), O~(ϵ2Πi=1mdi) copies are sufficient and necessary to test whether ρ is independent, i.e., in the tensor product form, by collective measurements, and O(ϵ2Πi=1mdi2) copies are sufficient by independent measurements.
Given ρ1,ρ2,⋯,ρn∈D(Cd) in the query model, and O(ϵ2d) copies are sufficient and necessary to test whether ρis are all identical by collective measurements, O(ϵ2d2) copies are sufficient by independent measurements. Given ρ1,ρ2,⋯,ρn∈D(Cd1⊗Cd2⊗⋯⊗Cdm), O~(ϵ2Πi=1mdi) copies are sufficient and necessary to test whether ρis are independent by collective measurements, and O(ϵ2Πi=1mdi2) copies are sufficient by independent measurements.
The identity testing and independence testing in D(Cd1⊗Cd2) can be accomplished with O(ϵ2d12d22) copies using just local measurements, respectively. This technique is used to provide efficient testers of conditional independence for classical-quantum-quantum states.
We study the problem of testing identity of a collection of unknown quantum states given sample access to this collection, each state appearing with some known probability. We show that for a collection of d -dimensional quantum states of cardinality N , the sample complexity is O(Nd/ϵ2) , with a matching lower bound, up to a multiplicative constant. The test is obtained by estimating the mean squared Hilbert-Schmidt distance between the states, thanks to a suitable generalization of the estimator of the Hilbert-Schmidt distance between two unknown states by Bădescu, O'Donnell, and Wright \cite{Badescu2019}.
We study the following quantum state identity problem: given access to copies of n unknown pure quantum states, the goal is to determine whether every pair has fidelity at least 1−ε or some pair has fidelity at most ε. This problem relaxes the identical-or-orthogonal promise considered in previous work. For any fixed overlap parameter ε∈(0,1/4), we present two quantum algorithms with complementary guarantees on circuit depth and sample complexity. The first runs in constant depth using parallel swap tests and takes O(log(n/δ)log(2/δ)) copies of each input state to succeed with probability at least 1−δ. The second uses the Schur transform to reduce the sample complexity to O(log(n/δ)), through an analysis relating Jucys--Murphy elements to Schur sampling. We also prove a matching sample complexity lower bound of Ω(log(n/δ)) for any quantum algorithm with failure probability at most δ≤1/2−c, for any constant c>0, establishing that the second algorithm achieves the optimal dependence on both n and δ for fixed ε.
We study the problems of quantum state certification, equivalence testing and independence testing. In certification, given samples of an unknown quantum state ρ and the description of a state σ, the goal is to test whether ρ=σ, or whether ρ and σ are far in a given distance measure. In equivalence testing, σ is also unknown and only accessible via samples. Independence testing decides whether ρAC=ρA⊗ρC, or is far from being a product. The sample complexities of these problems are now well-understood for a decision gap ε in trace distance: in the single-copy measurement setting with d-dimensional states, all three tasks can be solved using the same non-adaptive approach, which uses Θ(d3/2/ε2) samples and is optimal in general, even without adaptivity.
In this work, we consider decision gaps expressed in fidelity and study possible separations between these problems and how adaptivity can help. We prove that certification with respect to fidelity for a state σ of rank r does not benefit from adaptivity and requires Θ(r3/2/ε) samples. For equivalence testing and independence testing, we provide adaptive algorithms using O(min{d3/2/ε2,d9/4/ε}) and O(min{(dAdC)3/2/ε2,dA9/4dC3/4/ε}) samples, for dA≥dC, respectively. Our main technique is a framework that uses partial learning and a reduction to testing in ℓ2-distance, adapted from the distribution testing literature. We show that adaptivity matters for equivalence testing in fidelity by proving that Ω(1/ε2) samples are necessary in the non-adaptive case even for qubits, showing a separation from certification.
This paper studies the quantum identity testing problem, a quantum analogue of distribution identity testing. The goal is to determine whether a quantum state is identical to another fixed quantum state, using as few state samples as possible. Rather than general entangled measurements, we consider the less powerful but experimentally friendly Pauli measurements. We follow the standard setting where Pauli measurements are regarded as two-outcome measurements, i.e., eachn-qubit Pauli measurement has a one-bit outcome. We prove that for ann-qubit quantum system, the sample complexity of this problem isΘ(poly(n)⋅ϵ24n)if only Pauli measurements are allowed. In other words, we provide simple algorithms to determine whether twon-qubit quantum states,$\rho and\sigma ,areidenticalor\epsilon −farintracedistanceusingPaulimeasurements,usingO\left({\min \{n^{4},n^{3}+\log ^{3}(1/\epsilon)\}\cdot \frac {4^{n}}{\epsilon ^{2}}}\right)copiesof\rho and\sigma .Interestingly,\mathcal {O}\left({\frac {4^{n}}{\epsilon ^{2}}}\right)$copies are not sufficient under this setting.
For quantum state tomography on rank- r dimension- d states, we show that O~(r.5d1.5/ϵ)≤O~(d2/ϵ) copies suffice for accuracy ϵ with respect to (Bures) χ2 -divergence, and O~(rd/ϵ) copies suffice for accuracy ϵ with respect to quantum relative entropy. The best previous bound was O~(rd/ϵ)≤O~(d2/ϵ) with respect to infidelity; our results are an improvement since infidelity is bounded above by both the relative entropy and the χ2 -divergence. For algorithms that are required to use single-copy measurements, we show that O~(r1.5d1.5/ϵ)≤O~(d3/ϵ) copies suffice for χ2 -divergence, and O~(r2d/ϵ) suffice for relative entropy.Using this tomography algorithm, we show that O~(d2.5/ϵ) copies of a d×d -dimensional bipartite state suffice to test if it has quantum mutual information 0 or at least ϵ . As a corollary, we also improve the best known sample complexity for the classical version of mutual information testing to O~(d/ϵ) .