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Zero-entropy encoders and simultaneous decoders in identification via quantum channels

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abstract

Motivated by deterministic identification via classical channels, where the encoder is not allowed to use randomization, we revisit the problem of identification via quantum channels but now with the additional restriction that the message encoding must use pure quantum states, rather than general mixed states. Together with the previously considered distinction between simultaneous and general decoders, this suggests a two-dimensional spectrum of different identification capacities, whose behaviour could a priori be very different. We demonstrate two new results as our main findings: first, we show that all four combinations (pure/mixed encoder, simultaneous/general decoder) have a double-exponentially growing code size, and that indeed the corresponding identification capacities are lower bounded by the classical transmission capacity for a general quantum channel, which is given by the Holevo-Schumacher-Westmoreland Theorem. Secondly, we show that the simultaneous identification capacity of a quantum channel equals the simultaneous identification capacity with pure state encodings, thus leaving three linearly ordered identification capacities. By considering some simple examples, we finally show that these three are all different: general identification capacity can be larger than pure-state-encoded identification capacity, which in turn can be larger than pure-state-encoded simultaneous identification capacity.

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2025 1

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representative citing papers

Rate-reliability tradeoff for deterministic identification

cs.IT · 2025-02-04 · conditional · novelty 7.0

Imposing exponentially small identification errors removes the superlinear message growth of deterministic identification and yields linear rates governed by the Minkowski dimension of the channel output set.

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  • Rate-reliability tradeoff for deterministic identification cs.IT · 2025-02-04 · conditional · none · ref 36 · internal anchor

    Imposing exponentially small identification errors removes the superlinear message growth of deterministic identification and yields linear rates governed by the Minkowski dimension of the channel output set.