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.

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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

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article

Emulation of coherent absorption of Fock-state quantum light in a programmable linear photonic circuit

Venkatesh Deenadayalan, Ali W. Elshaari, Govind Krishna, Stefan Preble et al.
Nature Communications
Neural Networks and Reservoir Computing
article

Emulation of coherent absorption of Fock-state quantum light in a programmable linear photonic circuit

Venkatesh Deenadayalan, Ali W. Elshaari, Govind Krishna, Stefan Preble, Rohan Yadgirkar, Val Zwiller, Sam O’Brien, Jun Gao
article en

Abstract

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.

Nature CommunicationsVol. 17(1)
Rochester Institute of Technology (US), Wuhan National Laboratory for Optoelectronics (CN), Huazhong University of Science and Technology (CN), KTH Royal Institute of Technology (SE)
Göran Gustafssons Stiftelser, Knut och Alice Wallenbergs Stiftelse, Kungliga Tekniska Högskolan, Vetenskapsrådet, Wallenberg Center for Quantum Technology, Chalmers University of Technology
Openalex Percentile: Top 4%
Neural Networks and Reservoir Computing
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