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Subsystem Trace-Distances of Two Random States

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arxiv 2210.03213 v3 pith:GYPS5G4Y submitted 2022-10-06 quant-ph cond-mat.mes-hall

classification quant-phcond-mat.mes-hall
keywords qubitsstatespurerandomselectedsubsystemtrace-distanceaffected
verification ladder T0 review T1 audit T2 compute T3 formal
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abstract

We study two-state discrimination in chaotic quantum systems. Assuming that one of two $N$-qubit pure states has been randomly selected, the probability to correctly identify the selected state from an optimally chosen experiment involving a subset of $N-N_B$ qubits is given by the trace-distance of the states, with $N_B$ qubits partially traced out. In the thermodynamic limit $N\to\infty$, the average subsystem trace-distance for random pure states makes a sharp, first order transition from unity to zero at $f=1/2$, as the fraction $f=N_B/N$ of unmeasured qubits is increased. We analytically calculate the corresponding crossover for finite numbers $N$ of qubits, study how it is affected by the presence of local conservation laws, and test our predictions against exact diagonalization of models for many-body chaos.

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Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Efficient computation of average subsystem Bures distance between fermionic Gaussian states

    quant-ph 2025-08 unverdicted novelty 5.0 of 10

    An efficient Bures-distance algorithm for fermionic Gaussian states shows linear average subsystem-distance growth in the integrable Ising chain, but not in quadratic SYK or random Gaussian states.

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