Quantum optimal transport with quantum channels
Giacomo De Palma, Dario Trevisan

TL;DR
This paper introduces a quantum version of the Wasserstein distance where transport plans are quantum channels, linking quantum information theory with optimal transport and providing new insights into quantum Gaussian systems.
Contribution
It presents the first quantum Wasserstein distance based on quantum channels, proves a modified triangle inequality, and connects it with the Wigner-Yanase metric, especially for quantum Gaussian states.
Findings
Transport plans correspond to quantum channels.
Distance between a state and itself relates to Wigner-Yanase metric.
Quantum Gaussian attenuators and amplifiers are optimal transport plans.
Abstract
We propose a new generalization to quantum states of the Wasserstein distance, which is a fundamental distance between probability distributions given by the minimization of a transport cost. Our proposal is the first where the transport plans between quantum states are in natural correspondence with quantum channels, such that the transport can be interpreted as a physical operation on the system. Our main result is the proof of a modified triangle inequality for our transport distance. We also prove that the distance between a quantum state and itself is intimately connected with the Wigner-Yanase metric on the manifold of quantum states. We then specialize to quantum Gaussian systems, which provide the mathematical model for the electromagnetic radiation in the quantum regime. We prove that the noiseless quantum Gaussian attenuators and amplifiers are the optimal transport plans…
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