Abstract
Frequency-bin qudits constitute a promising tool for quantum information processing, but their high dimensionality can make for tedious characterization measurements. Here we introduce and compare compressive sensing and Bayesian mean estimation for recovering the spectral correlations of entangled photon pairs. Using a conventional compressive sensing algorithm, we reconstruct joint spectra with up to a 26-fold reduction in measurement time compared to the equivalent raster scan. Applying a custom Bayesian model to the same data, we then additionally realize reliable and consistent quantification of uncertainty. These efficient methods of biphoton characterization should advance our ability to use the high degree of parallelism and complexity afforded by frequency-bin encoding.
| Original language | English |
|---|---|
| Pages (from-to) | 2886-2889 |
| Number of pages | 4 |
| Journal | Optics Letters |
| Volume | 45 |
| Issue number | 10 |
| DOIs | |
| State | Published - May 15 2020 |
| Externally published | Yes |
Funding
U.S. Department of Energy, Office of Science; Office of Workforce Development for Teachers and Scientists (SULI) program; and Office of Advanced Scientific Computing Research, Early Career Research program. We thank AdvR, Inc., for loaning the PPLN ridge waveguide and P. Lougovski for discussions. This research was performed in part at Oak Ridge National Laboratory, managed by UT-Battelle, LLC, for the U.S. Department of Energy under contract no.DE-AC05-00OR22725. Ridge National Laboratory, managed by UT-Battelle, LLC, for the U.S. Department of Energy under contract no. DE-AC05-00OR22725. Funding. U.S. Department of Energy, Office of Science; Office of Workforce Development for Teachers and Scientists (SULI) program; and Office of Advanced Scientific Computing Research, Early Career Research program.