Emulation of coherent absorption of Fock-state quantum light in a programmable linear photonic circuit
Non-Hermitian quantum systems, governed by nonunitary evolution, offer powerful tools for manipulating quantum states through engineered loss. A prime example is coherent absorption, where quantum states undergo phase-dependent partial or complete absorption in a lossy medium. Here, we demonstrate a fully programmable implementation of nonunitary transformations that emulate coherent absorption of quantum light using a programmable integrated linear photonic circuit, with loss introduced via coupling to an ancilla mode. Probing the circuit with a single-photon dual-rail state reveals phase-controlled coherent tunability between perfect transmission and perfect absorption. A two-photon NOON-state input, by contrast, exhibits switching between deterministic single-photon absorption and probabilistic two-photon absorption. Across a broad range of input phases and circuit configurations, we observe nonclassical effects including anti-coalescence and bunching, together with continuous and coherent tuning of output Fock-state probability amplitudes. Classical Fisher information analysis reveals phase sensitivity peaks of 1 for single-photon states and 3.4 for NOON states, exceeding the shot-noise limit of 2 and approaching the Heisenberg limit of 4 for two-photon states. The experiment integrates quantum state generation, programmable photonic circuitry, and photon-number-resolving detection, establishing ancilla-assisted circuits as powerful platforms for programmable quantum state engineering, filtering, multiplexed sensing, and nonunitary quantum simulation.
Authors
- Venkatesh Deenadayalan (ORCID: https://orcid.org/0000-0001-7834-3861)
- Ali W. Elshaari (ORCID: https://orcid.org/0000-0002-7004-9665)
- Govind Krishna
- Stefan Preble
- Rohan Yadgirkar
- Val Zwiller (ORCID: https://orcid.org/0000-0002-5726-1063)
- Sam O’Brien
- Jun Gao (ORCID: https://orcid.org/0009-0009-5417-9599)
Institutions
- Rochester Institute of Technology (US)
- Wuhan National Laboratory for Optoelectronics (CN)
- Huazhong University of Science and Technology (CN)
- KTH Royal Institute of Technology (SE)
Publication Details
- Journal
- Nature Communications
- Published
- 2026-05-09
- DOI
- https://doi.org/10.1038/s41467-026-72850-6
- Primary Topic
- Neural Networks and Reservoir Computing
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Göran Gustafssons Stiftelser
- Knut och Alice Wallenbergs Stiftelse
- Kungliga Tekniska Högskolan
- Vetenskapsrådet
- Wallenberg Center for Quantum Technology, Chalmers University of Technology