Yupan Liu, Qisheng Wang (May 02 2025).
Abstract: We study the computational complexity of estimating the quantum
ℓα distance
Tα(ρ0,ρ1), defined via the Schatten
α-norm
∥A∥α=tr(∣A∣α)1/α, given
poly(n)-size state-preparation circuits of
n-qubit quantum states
ρ0 and
ρ1. This quantity serves as a lower bound on the trace distance for
α>1. For any constant
α>1, we develop an efficient rank-independent quantum estimator for
Tα(ρ0,ρ1) with time complexity
poly(n), achieving an exponential speedup over the prior best results of
exp(n) due to Wang, Guan, Liu, Zhang, and Ying (TIT 2024). Our improvement leverages efficiently computable uniform polynomial approximations of signed positive power functions within quantum singular value transformation, thereby eliminating the dependence on the rank of the quantum states. Our quantum algorithm reveals a dichotomy in the computational complexity of the Quantum State Distinguishability Problem with Schatten
α-norm (QSD
α), which involves deciding whether
Tα(ρ0,ρ1) is at least
2/5 or at most
1/5. This dichotomy arises between the cases of constant
α>1 and
α=1: - For any
1+Ω(1)≤α≤O(1), QSD
α is
BQP-complete. - For any
1≤α≤1+n1, QSD
α is
QSZK-complete, implying that no efficient quantum estimator for
Tα(ρ0,ρ1) exists unless
BQP=QSZK. The hardness results follow from reductions based on new rank-dependent inequalities for the quantum
ℓα distance with
1≤α≤∞, which are of independent interest.