Nature Communications (Jul 2022)

Bayesian tomography of high-dimensional on-chip biphoton frequency combs with randomized measurements

  • Hsuan-Hao Lu,
  • Karthik V. Myilswamy,
  • Ryan S. Bennink,
  • Suparna Seshadri,
  • Mohammed S. Alshaykh,
  • Junqiu Liu,
  • Tobias J. Kippenberg,
  • Daniel E. Leaird,
  • Andrew M. Weiner,
  • Joseph M. Lukens

DOI
https://doi.org/10.1038/s41467-022-31639-z
Journal volume & issue
Vol. 13, no. 1
pp. 1 – 12

Abstract

Read online

Full tomography of biphoton frequency comb states requires frequency mixing operations which are hard to scale. Here, the authors propose and demonstrate a protocol exploiting advanced Bayesian statistical methods and randomized measurements coming from complex mode mixing in electro-optic phase modulators.