Experimental generation of polarization entanglement from spontaneous parametric down-conversion pumped by spatiotemporally highly incoherent light
Cheng Li, Boris Braverman, Girish Kulkarni, Robert W. Boyd

TL;DR
This study demonstrates that polarization entanglement can be generated via SPDC using a highly incoherent LED pump, revealing the effects of pump coherence on entanglement quality and potential applications in quantum communication.
Contribution
It provides the first experimental analysis of polarization entanglement generated with a spatiotemporally highly incoherent light source in SPDC, supported by theoretical predictions.
Findings
Entanglement with a concurrence of ~0.53 was achieved using an incoherent LED pump.
The generated two-qubit state had a purity of approximately 0.65.
The results confirm that STHI pumps can produce viable entangled states for quantum communication.
Abstract
The influence of pump coherence on the entanglement produced in spontaneous parametric down-conversion (SPDC) is important to understand, both from a fundamental perspective, and from a practical standpoint for controlled generation of entangled states. In this context, it is known that in the absence of postselection, the pump coherence in a given degree of freedom (DOF) imposes an upper limit on the generated entanglement in the same DOF. However, the cross-influence of the pump coherence on the generated entanglement in a different DOF is not well-understood. Here, we experimentally investigate the effect of a spatiotemporally highly-incoherent (STHI) light-emitting diode (LED) pump on the polarization entanglement generated in SPDC. Our quantum state tomography measurements using multimode collection fibers to reduce the influence of postselection yield a two-qubit state with a…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsNeural Networks and Reservoir Computing · Random lasers and scattering media · Quantum Information and Cryptography
