Quantum dichotomies and coherent thermodynamics beyond first-order asymptotics


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Date

2023-06-17

Publication Type

Working Paper

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Abstract

We address the problem of exact and approximate transformation of quantum dichotomies in the asymptotic regime, i.e., the existence of a quantum channel E mapping ρ⊗n1 into ρ⊗Rnn2 with an error ϵn (measured by trace distance) and σ⊗n1 into σ⊗Rnn2 exactly, for a large number n. We derive second-order asymptotic expressions for the optimal transformation rate Rn in the small, moderate, and large deviation error regimes, as well as the zero-error regime, for an arbitrary pair (ρ1,σ1) of initial states and a commuting pair (ρ2,σ2) of final states. We also prove that for σ1 and σ2 given by thermal Gibbs states, the derived optimal transformation rates in the first three regimes can be attained by thermal operations. This allows us, for the first time, to study the second-order asymptotics of thermodynamic state interconversion with fully general initial states that may have coherence between different energy eigenspaces. Thus, we discuss the optimal performance of thermodynamic protocols with coherent inputs and describe three novel resonance phenomena allowing one to significantly reduce transformation errors induced by finite-size effects. What is more, our result on quantum dichotomies can also be used to obtain, up to second-order asymptotic terms, optimal conversion rates between pure bipartite entangled states under local operations and classical communication.

Publication status

published

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Pages / Article No.

2303.05524

Publisher

Cornell University

Event

Edition / version

v2

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Subject

Quantum Physics (quant-ph); Information Theory (cs.IT); Mathematical Physics (math-ph); FOS: Physical sciences; FOS: Computer and information sciences

Organisational unit

03781 - Renner, Renato / Renner, Renato check_circle

Notes

Funding

186364 - (QuantEOM) Quantum-coherent electro-optic microwave-to-optical conversion with GaP and BaTiO3 (SNF)
185902 - QSIT - Quantum Science and Technology (SNF)

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