Adaptive quantum channel discrimination using methods of quantum metrology
Abstract
Abstract We present an efficient tensor-network based algorithm for finding the optimal adaptive quantum channel discrimination strategies inspired by recently developed numerical methods in quantum metrology to find the optimal adaptive channel estimation protocols. We examine the connection between channel discrimination and estimation problems, highlighting in particular an appealing structural similarity between models that admit Heisenberg scaling estimation performance, and models that admit perfect channel discrimination in finite–number of channel uses.
Fields of Study & Subjects
Quantum Information and Cryptography
Quantum Computing Algorithms and Architecture
Quantum Mechanics and Applications
Publication details
- Journal / source
- New Journal of Physics
- Publisher
- IOP Publishing
- Volume
- 28
- Issue
- 2
- Pages
- 024502–024502
- Publication date
- 28 January 2026
- Language
- EN