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This research establishes efficiently computable bounds for discriminating noisy quantum processes in continuous-variable systems under energy constraints, addressing a critical gap in quantum communication and metrology. By formulating key divergence measures as semidefinite programs, the study provides practical benchmarks for optimizing low-energy bosonic sensing protocols using Fock-diagonal probes.
Efficiently Computable Strategies and Limits for Bosonic Channel Discrimination
arXiv:2603.19911v2 Announce Type: replace Abstract: Discriminating between noisy quantum processes is a central primitive for quantum communication, metrology, and computing. While discrimination limits for finite-dimensional channels are well understood, the continuous-variable setting, particularly under experimentally relevant energy constraints, remains significantly less developed. In this work, we establish an energy-constrained chain rule for the Belavkin-Staszewski channel divergence, which yields a fundamental upper bound on the error exponents achievable by fully adaptive, energy-constrained quantum channel discrimination protocols. We then derive efficiently computable bounds on asymmetric error exponents for energy-constrained discrimination of bosonic dephasing and loss-dephasing channels. Specifically, we show that three operationally relevant quantities -- the measured relative entropy, the Umegaki relative entropy, and the geometric Renyi divergence -- admit semidefinite program (SDP) formulations when the input energy is bounded and the Hilbert space is suitably truncated. Applying these tools, we demonstrate that optimal probes for these channels under energy constraints are Fock-diagonal, and we also enable numerically precise evaluation of bounds on achievable error exponents across discrimination strategies ranging from separable to fully adaptive. The resulting SDPs provide practical benchmarks for quantum-limited sensing in low-energy bosonic platforms.
Abstract:Discriminating between noisy quantum processes is a central primitive for quantum communication, metrology, and computing. While discrimination limits for finite-dimensional channels are well understood, the continuous-variable setting, particularly under experimentally relevant energy constraints, remains significantly less developed. In this work, we establish an energy-constrained chain rule for the Belavkin-Staszewski channel divergence, which yields a fundamental upper bound on the error exponents achievable by fully adaptive, energy-constrained quantum channel discrimination protocols. We then derive efficiently computable bounds on asymmetric error exponents for energy-constrained discrimination of bosonic dephasing and loss-dephasing channels. Specifically, we show that three operationally relevant quantities -- the measured relative entropy, the Umegaki relative entropy, and the geometric Renyi divergence -- admit semidefinite program (SDP) formulations when the input energy is bounded and the Hilbert space is suitably truncated. Applying these tools, we demonstrate that optimal probes for these channels under energy constraints are Fock-diagonal, and we also enable numerically precise evaluation of bounds on achievable error exponents across discrimination strategies ranging from separable to fully adaptive. The resulting SDPs provide practical benchmarks for quantum-limited sensing in low-energy bosonic platforms.
arXiv:2603.19911 [quant-ph]
(or arXiv:2603.19911v2 [quant-ph] for this version)
https://doi.org/10.48550/arXiv.2603.19911 Focus to learn more arXiv-issued DOI via DataCite
Physical Review A, vol. 114, no. 3, page 032441, September 2026
https://doi.org/10.1103/fypm-kjt6 Focus to learn more DOI(s) linking to related resources
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Fig_3_loss_dephasing_function_energy.py
Fig_4_dephasing_function_gamma_E05.py
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