Controllable two-photon interference with versatile quantum frequency processor
Hsuan-Hao Lu, Joseph M. Lukens, Nicholas A. Peters, Brian P. Williams,, Andrew M. Weiner, and Pavel Lougovski

TL;DR
This paper presents a reconfigurable quantum frequency processor capable of arbitrary spectral manipulations, enabling high-visibility two-photon interference and quantum gates, advancing the development of frequency-multiplexed quantum networks.
Contribution
The authors introduce a versatile, linear quantum frequency processor that performs arbitrary spectral operations, demonstrating record-high interference visibility and high-fidelity quantum gates.
Findings
Achieved 94% visibility in frequency-bin Hong-Ou-Mandel interference.
Synthesized independent quantum frequency gates with high fidelity.
Reduced noise compared to nonlinear optics-based frequency mixing.
Abstract
Quantum information is the next frontier in information science, promising unconditionally secure communications, enhanced channel capacities, and computing capabilities far beyond their classical counterparts. And as quantum information processing devices continue to transition from the lab to the field, the demand for the foundational infrastructure connecting them with each other and their users---the quantum internet---will only increase. Due to the remarkable success of frequency multiplexing and control in the classical internet, quantum information encoding in optical frequency offers an intriguing synergy with state-of-the-art fiber-optic networks. Yet coherent quantum frequency operations prove extremely challenging, due to the difficulties in mixing frequencies efficiently, arbitrarily, in parallel, and with low noise. Here we implement an original approach based on 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
TopicsQuantum Information and Cryptography · Optical Network Technologies · Neural Networks and Reservoir Computing
