Wave-Function Engineering for Spectrally Uncorrelated Biphotons in the Telecommunication Band Based on a Machine-Learning Framework
AffiliationUniv Arizona, James C Wyant Coll Opt Sci
Univ Arizona, Dept Elect & Comp Engn
Univ Arizona, Dept Math & Computat Sci
Univ Arizona, Dept Mat Sci & Engn
MetadataShow full item record
PublisherAMER PHYSICAL SOC
CitationCui, C., Arian, R., Guha, S., Peyghambarian, N., Zhuang, Q., & Zhang, Z. (2019). Wave-Function Engineering for Spectrally Uncorrelated Biphotons in the Telecommunication Band Based on a Machine-Learning Framework. Physical Review Applied, 12(3). doi: 10.1103/physrevapplied.12.034059
JournalPHYSICAL REVIEW APPLIED
Rights© 2019 American Physical Society
Collection InformationThis item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at firstname.lastname@example.org.
AbstractIndistinguishable single photons are key ingredients for a plethora of quantum-information-processing applications, ranging from quantum communications to photonic quantum computing. A mainstream platform to produce indistinguishable single photons over a wide spectral range is based on biphoton generation through spontaneous parametric down-conversion in nonlinear crystals. The purity of the biphotons produced is, however, limited by their spectral correlations. Here we present a design recipe, based on a machine-learning framework, for the engineering of biphoton joint spectral amplitudes over a wide spectral range. By customizing the poling profile of the KTiOPO4 crystal, we show, numerically, that spectral purities of 99.22%, 99.99%, and 99.82%, respectively, can be achieved in the 1310-, 1550-, and 1600-nm bands after applying a moderate 8-nm filter. The machine-learning framework thus enables the generation of near-indistinguishable single photons over the entire telecommunication band without resorting to the KTiOPO4 crystal's group-velocity-matching wavelength window near 1582 nm.
VersionFinal published version
SponsorsNational Science Foundation Major Research Instrumentation Program National Science Foundation (NSF)NSF - Directorate for Mathematical & Physical Sciences (MPS) ; University of Arizona; Nicolaas Bloembergen Graduate Student Scholarship; Office of Naval Research program Communications and Networking with Quantum Operationally-Secure Technology for Maritime Deployment (CONQUEST) [N00014-16-C2069]; Regents Innovation Funds