Superadditive communication with the green machine as a practical demonstration of nonlocality without entanglement

Achieving the ultimate Holevo limit of optical communication capacity requires a joint-detection receiver that makes a collective quantum measurement over multiple modulated symbols. Such superadditivity-a higher communication rate than is achievable by symbol-by-symbol optical detection-is a special case of the well-known nonlocality without entanglement and has yet to be demonstrated. In this article, we propose and demonstrate the design of a joint-detection receiver, the Green Machine, that can achieve superadditivity. We build this receiver, experimentally obtain the transition probability matrix induced by the codebook-receiver pair, and deduce that its capacity surpasses that of any symbol-by-symbol receiver in the photon-starved regime for binary-phase-shift-keying (BPSK)modulation. Our Green Machine receiver can also significantly reduce the transmitter peak power requirement compared with the pulse-position modulation (the conventional modulation format used for deep space laser communication). We further demonstrate that the self-referenced phase makes it resilient to phase noise, e.g., atmospheric turbulence or platform vibrations.

Authors

Institutions

Publication Details

Journal
Nature Communications
Published
2025-04-22
DOI
https://doi.org/10.1038/s41467-025-59107-4
Citations
11
Primary Topic
Quantum Mechanics and Applications
Type
article
Field-Weighted Citation Impact
13.71

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Superadditive communication with the green machine as a practical demonstration of nonlocality without entanglement

Linran Fan, Saikat Guha, Jack Postlewaite, Chaohan Cui et al.
11 citations
Nature Communications
Quantum Mechanics and Applications
13.71
article

Superadditive communication with the green machine as a practical demonstration of nonlocality without entanglement

Linran Fan, Saikat Guha, Jack Postlewaite, Chaohan Cui, Babak N. Saif
article en
11 citations

Abstract

Achieving the ultimate Holevo limit of optical communication capacity requires a joint-detection receiver that makes a collective quantum measurement over multiple modulated symbols. Such superadditivity-a higher communication rate than is achievable by symbol-by-symbol optical detection-is a special case of the well-known nonlocality without entanglement and has yet to be demonstrated. In this article, we propose and demonstrate the design of a joint-detection receiver, the Green Machine, that can achieve superadditivity. We build this receiver, experimentally obtain the transition probability matrix induced by the codebook-receiver pair, and deduce that its capacity surpasses that of any symbol-by-symbol receiver in the photon-starved regime for binary-phase-shift-keying (BPSK)modulation. Our Green Machine receiver can also significantly reduce the transmitter peak power requirement compared with the pulse-position modulation (the conventional modulation format used for deep space laser communication). We further demonstrate that the self-referenced phase makes it resilient to phase noise, e.g., atmospheric turbulence or platform vibrations.

Nature CommunicationsVol. 16(1)
Goddard Space Flight Center (US), University of Arizona (US), University of Maryland, College Park (US), The University of Texas at Austin (US)
National Science Foundation, National Aeronautics and Space Administration, Nuclear Safety and Security Commission, Goddard Space Flight Center
Reduced inequalities
Openalex Percentile: Top 1%
Quantum Mechanics and Applications
13.71
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.