TY - JOUR
T1 - Simultaneously Sorting Overlapping Quantum States of Light
AU - Goel, Suraj
AU - Tyler, Max
AU - Zhu, Feng
AU - Leedumrongwatthanakun, Saroch
AU - Malik, Mehul
AU - Leach, Jonathan
N1 - Funding Information:
We thank Will McCutcheon for fruitful discussions regarding this work. This work was supported by EPSRC Grants No. EP/T00097X/1 and No. EP/P024114/1, by QuantERA ERA-NET Co-fund (FWF Project No. I3773-N36), and the European Research Council (ERC) Starting grant PIQUaNT (No. 950402).
Publisher Copyright:
© 2023 American Physical Society.
PY - 2023/4/7
Y1 - 2023/4/7
N2 - The efficient manipulation, sorting, and measurement of optical modes and single-photon states is fundamental to classical and quantum science. Here, we realize simultaneous and efficient sorting of nonorthogonal, overlapping states of light, encoded in the transverse spatial degree of freedom. We use a specifically designed multiplane light converter to sort states encoded in dimensions ranging from d=3 to d=7. Through the use of an auxiliary output mode, the multiplane light converter simultaneously performs the unitary operation required for unambiguous discrimination and the basis change for the outcomes to be spatially separated. Our results lay the groundwork for optimal image identification and classification via optical networks, with potential applications ranging from self-driving cars to quantum communication systems.
AB - The efficient manipulation, sorting, and measurement of optical modes and single-photon states is fundamental to classical and quantum science. Here, we realize simultaneous and efficient sorting of nonorthogonal, overlapping states of light, encoded in the transverse spatial degree of freedom. We use a specifically designed multiplane light converter to sort states encoded in dimensions ranging from d=3 to d=7. Through the use of an auxiliary output mode, the multiplane light converter simultaneously performs the unitary operation required for unambiguous discrimination and the basis change for the outcomes to be spatially separated. Our results lay the groundwork for optimal image identification and classification via optical networks, with potential applications ranging from self-driving cars to quantum communication systems.
UR - http://www.scopus.com/inward/record.url?scp=85152120348&partnerID=8YFLogxK
U2 - 10.1103/PhysRevLett.130.143602
DO - 10.1103/PhysRevLett.130.143602
M3 - Article
C2 - 37084456
SN - 0031-9007
VL - 130
JO - Physical Review Letters
JF - Physical Review Letters
IS - 14
M1 - 143602
ER -