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

G Govind Krishna J Jun Gao (Qingdao Institute of Bioenergy and Bioprocess Technology) S Sam O’Brien R Rohan Yadgirkar V Venkatesh Deenadayalan S Stefan Preble V Val Zwiller A Ali W. Elshaari

Abstract

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.

Article Details

Volume / Issue Vol. 17, Issue 1
Published May 09, 2026
ISSN 2041-1723
Publisher Nature Portfolio

Journal Info

Nature Communications

Nature Portfolio

ISSN: 2041-1723 Open Access Life Sciences

Authors (8)

G

Govind Krishna

J

Jun Gao

Qingdao Institute of Bioenergy and Bioprocess Technology

S

Sam O’Brien

R

Rohan Yadgirkar

V

Venkatesh Deenadayalan

S

Stefan Preble

V

Val Zwiller

A

Ali W. Elshaari