Bulletin of the American Physical Society
2024 APS March Meeting
Monday–Friday, March 4–8, 2024; Minneapolis & Virtual
Session Y54: Quantum Information and Sensing
8:00 AM–10:48 AM,
Friday, March 8, 2024
Room: 203AB
Sponsoring
Unit:
DAMOP
Chair: Zihe Gao, Auburn University
Abstract: Y54.00002 : Quantum Frequency Combs with Path Identity for Quantum Remote Sensing
8:12 AM–8:24 AM
Presenter:
Diego R Dalvit
(Los Alamos National Laboratory)
Authors:
Diego R Dalvit
(Los Alamos National Laboratory)
Tyler Volkoff
(Los Alamos National Laboratory)
Yunseok Choi
(Los Alamos National Laboratory)
Abul K Azad
(Los Alamos National Laboratory)
Abul K Azad
(Los Alamos National Laboratory)
Hou-tong Chen
(Los Alamos National Laboratory)
Peter Milonni
(University of Rochester)
Peter Milonni
(University of Rochester)
states of light or matter as sensing probes. Photons are the clear choice as quantum probes
for remote sensing because they can travel to and interact with a distant target. Existing
schemes are mainly based on the quantum illumination framework, which requires a quantum
memory to store a single photon of an initially entangled pair until its twin reflects off
a target and returns for final correlation measurement. Existing demonstrations are limited
to tabletop experiments, and expanding the sensing range faces various roadblocks,
including long-time quantum storage and photon loss and noise when transmitting quantum
signals over long distances. We propose a novel quantum sensing framework that addresses
these challenges using quantum frequency combs with path identity for remote sensing of signatures
(“qCOMBPASS”). The combination of two key quantum phenomena, namely quantum
induced coherence by path indistinguishability8,9 and quantum frequency combs,
allows for quantum remote sensing without requiring a quantum memory. We develop the
basic qCOMBPASS theory, analyze the properties of the qCOMBPASS transceiver, and introduce
the qCOMBPASS equation – a quantum analog of the well-known LIDAR equation
in classical remote sensing. We also describe an experimental scheme to demonstrate the concept
using two-mode squeezed quantum combs. qCOMBPASS can strongly impact various
applications in remote quantum sensing, imaging, metrology, and communications. These
include detection and ranging of low-reflectivity objects, measurement of small displacements
of a remote target with precision beyond the standard quantum limit (SQL), standoff
hyperspectral quantum imaging, and very-long-baseline interferometry.
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