Quantum optimal transport is cheaper
Fran\c{c}ois Golse (CMLS), Emanuele Caglioti (Sapienza University of, Rome), Thierry Paul (CMLS)

TL;DR
This paper compares classical and quantum bipartite matching problems, demonstrating that quantum optimal transport can be more cost-effective than classical methods, especially with particles of different masses.
Contribution
It introduces a quantum Wasserstein distance framework and shows that quantum costs can be strictly lower than classical costs in certain cases.
Findings
Quantum costs can be cheaper than classical costs.
Equal mass particles have equal quantum and classical costs.
Different mass particles can have strictly lower quantum costs.
Abstract
We compare bipartite (Euclidean) matching problems in classical and quantum mechanics. The quantum case is treated in terms of a quantum version of the Wasserstein distance introduced in [F. Golse, C. Mouhot, T. Paul, Commun. Math. Phys. 343 (2016), 165-205]. We show that the optimal quantum cost can be cheaper than the classical one. We treat in detail the case of two particles: the equal mass case leads to equal quantum and classical costs. Moreover, we show examples with different masses for which the quantum cost is strictly cheaper than the classical cost.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsMarkov Chains and Monte Carlo Methods · Geometric Analysis and Curvature Flows · Statistical Mechanics and Entropy
