Single-Shot Entanglement Manipulation of States and Channels Revisited
We study entanglement distillation and dilution of states and channels in the single-shot regime. With the help of a recently introduced conversion distance, we provide compact closed-form expressions for the dilution and distillation of pure states and show how this can be used to efficiently calculate these quantities on multiple copies of pure states. These closed-form expressions also allow us to obtain second-order asymptotics. We then prove that the ε-single-shot entanglement cost of mixed states is given exactly in terms of an expression containing a suitably smoothed version of the conditional max-entropy. For pure states, this expression reduces to the smoothed max-entropy of the reduced state, for which we provide a closed-form expression. Analogously, we provide a closed-form expression for the smoothed min-entropy and connect it to the ε-single-shot distillable entanglement. Based on these results, we bound the single-shot entanglement cost of channels. We then turn to the one-way entanglement distillation of states and channels and provide bounds in terms of a quantity we denote coherent information of entanglement.
Authors
- Thomas Theurer (ORCID: https://orcid.org/0000-0002-3888-4628)
- Kun Fang (ORCID: https://orcid.org/0000-0002-9232-6846)
- Gilad Gour (ORCID: https://orcid.org/0000-0002-4892-4072)
Institutions
- University of Calgary (CA)
- Chinese University of Hong Kong, Shenzhen (CN)
Publication Details
- Journal
- IEEE Transactions on Information Theory
- Published
- 2025-05-27
- DOI
- https://doi.org/10.1109/tit.2025.3570770
- Citations
- 2
- Primary Topic
- Laser-Matter Interactions and Applications
- Type
- article
- Field-Weighted Citation Impact
- 2.49
Funders
- Pacific Institute for the Mathematical Sciences
- National Natural Science Foundation of China
- Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada
- Israel Science Foundation
- Danish e-Infrastructure Cooperation
- Natural Sciences and Engineering Research Council of Canada
- Shenzhen Science and Technology Innovation Program
- Division of Mathematical Sciences