Reconfigurable circuit for mode tunable topological quantum structured light
Pedro Ornelas, Tatjana Kleine, Andr\'e G. de Oliveira, Carmelo Rosales-Guzm\'an, Andrew Forbes, and Isaac Nape

TL;DR
This paper presents a reconfigurable optical device that generates high-purity, topologically structured quantum light, enabling advanced quantum information applications with improved robustness and adaptability.
Contribution
It introduces a compact, self-locking interferometer integrating digital spatial light modulators for high-fidelity, reprogrammable topological quantum structured light generation.
Findings
Achieved high-fidelity mapping of spatial-mode entanglement.
Demonstrated reprogrammable topological entanglement with digital control.
Enabled reliable generation of quantum-structured light at the single-photon level.
Abstract
Structured light in the quantum regime has garnered considerable attention due to the opportunities it offers when mixing light's internal degrees of freedom, for high-dimensional and multi-dimensional quantum states of light. A popular example is to harness polarisation and spatial entangled photons with a shared topological invariant that is robust against numerous families of noisy quantum channels. Yet, producing such states with high purity and adaptability remains challenging. Here we introduce a compact, self-locking Mach-Zehnder interferometer that integrates digital spatial light modulators with static beam displacers to map spatial-mode entanglement from a parametric down-conversion source onto topological entanglement with high fidelity. The device also mimics the action of a reprogrammable controlled-unitary gate, digitally driven by the spatial light modulator. This…
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
TopicsTopological Materials and Phenomena · Neural Networks and Reservoir Computing · Orbital Angular Momentum in Optics
