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Compression for quantum population coding

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arxiv 1701.03372 v8 pith:E7KLCB5E submitted 2017-01-12 quant-ph cs.ITmath.IT

classification quant-phcs.ITmath.IT
keywords quantumbitsclassicalstatesfamilymemoryarbitrarilyasymptotic
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We study the compression of n quantum systems, each prepared in the same state belonging to a given parametric family of quantum states. For a family of states with f independent parameters, we devise an asymptotically faithful protocol that requires a hybrid memory of size (f/2)log(n), including both quantum and classical bits. Our construction uses a quantum version of local asymptotic normality and, as an intermediate step, solves the problem of compressing displaced thermal states of n identically prepared modes. In both cases, we show that (f/2)log(n) is the minimum amount of memory needed to achieve asymptotic faithfulness. In addition, we analyze how much of the memory needs to be quantum. We find that the ratio between quantum and classical bits can be made arbitrarily small, but cannot reach zero: unless all the quantum states in the family commute, no protocol using only classical bits can be faithful, even if it uses an arbitrarily large number of classical bits.

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

  1. Task-Dependent Syndrome Memory in Quantum Sensing and State Recovery

    quant-ph 2026-08 accept novelty 7.0 of 10

    The quantum Fisher information lost by merging noise records into M flags equals the weighted squared distance between fine and coarse SLD scores, making optimal flag design an operator clustering problem.

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