Skip to content
DraconiticResearch
Search Sources API
203,234 studies31 sourcesUpdated 34 min ago
PreprintCC BYHAL

Entanglement in quantum channel discrimination: sometimes less is more

Abstract

Entanglement is known to be a powerful resource that improves performance in various quantum information and computational tasks. A standard example of such a phenomenon is the possibility of perfectly discriminating all four Pauli operations in a single shot via the superdense coding protocol. While entanglement is often a powerful resource for quantum channel discrimination, this is not necessarily the case. In this work, we identify scenarios in which the maximally entangled state is a bad choice of input state and, more generally, show that excessive entanglement can reduce channel discriminability dramatically. To do so, we present an explicit pair of unitary channels which are perfectly discriminable without entanglement, but for which any strategy with maximally entangled input states is ε-close to a blind uniform guessing strategy. To develop a systematic approach, we introduce the concepts of Maximal Entanglement Worst Case (MEWC) and Maximal Entanglement Best Case (MEBC) pairs of channels, and present conditions for a pair of channels to be MEWC or MEBC. With these conditions, we show that the optimal input states for discriminating MEWC pairs of channels are necessarily separable, and provide non-trivial examples of measurement channels for which entanglement necessarily reduces the maximum probability of discrimination.

Related

  1. Pure states are optimal for total energy-constrained quantum channel discrimination
    Christos N. Gagatsos
    arXivPreprintarXiv licenceFull textQuantum physics & quantum informationarXiv
  2. A Spectrum-Based Converse for Quantum State Discrimination and Its Applications to Classical-Quantum Channel Coding
    Tam{á}s Havas, Hsuan-Yin Lin, Eirik Rosnes
    arXivPreprintCC BY-NC-ND 4.0Full textGeneral mathematicsQuantum physics & quantum informationarXiv
  3. Parallel quantum channel discrimination and numerical ranges in tensor product subspaces
    Adam Bílek, Paulina Lewandowska, Ryszard Kukulski
    arXivPreprintarXiv licenceFull textQuantum physics & quantum informationarXiv
  4. Entanglement inference from quantum erasure and path discrimination
    Mohd Asad Siddiqui
    arXivPreprintCC BY 4.0Full textQuantum physics & quantum informationarXiv
  5. Limits for molecular spectroscopy from quantum channel discrimination
    Anirban Dey, Akib Karim, Pieter Kok +2
    arXivPreprintarXiv licenceFull textQuantum physics & quantum informationarXiv
BibTeX
@misc{lien2026entanglement,
  title = {{Entanglement in quantum channel discrimination: sometimes less is more}},
  author = {Kristin Sundal Lien and Marco Túlio Quintino},
  howpublished = {HAL},
  year = {2026},
  month = may,
  doi = {10.48550/arxiv.2605.31519},
  eprint = {2605.31519},
  archivePrefix = {arXiv},
  url = {https://hal.science/hal-05787604v1},
  note = {CC BY},
}
RIS
TY  - UNPB
TI  - Entanglement in quantum channel discrimination: sometimes less is more
AU  - Kristin Sundal Lien
AU  - Marco Túlio Quintino
PY  - 2026
DA  - 2026/05/29
PB  - HAL
DO  - 10.48550/arxiv.2605.31519
UR  - https://hal.science/hal-05787604v1
AB  - Entanglement is known to be a powerful resource that improves performance in various quantum information and computational tasks. A standard example of such a phenomenon is the possibility of perfectly discriminating all four Pauli operations in a single shot via the superdense coding protocol. While entanglement is often a powerful resource for quantum channel discrimination, this is not necessarily the case. In this work, we identify scenarios in which the maximally entangled state is a bad choice of input state and, more generally, show that excessive entanglement can reduce channel discriminability dramatically. To do so, we present an explicit pair of unitary channels which are perfectly discriminable without entanglement, but for which any strategy with maximally entangled input states is ε-close to a blind uniform guessing strategy. To develop a systematic approach, we introduce the concepts of Maximal Entanglement Worst Case (MEWC) and Maximal Entanglement Best Case (MEBC) pairs of channels, and present conditions for a pair of channels to be MEWC or MEBC. With these conditions, we show that the optimal input states for discriminating MEWC pairs of channels are necessarily separable, and provide non-trivial examples of measurement channels for which entanglement necessarily reduces the maximum probability of discrimination.
ER  -