aiqbench analysis
This research presents a practical source of high-dimensional time-bin entangled photons, addressing critical needs for quantum key distribution (QKD) in noisy environments. By optimizing brightness and stability while introducing novel certification methods, the study demonstrates viable pathways to achieve higher secure communication rates beyond standard two-level systems. This work advances the hardware capabilities required for robust real-world deployment of quantum networks.
Bright Source of High-Dimensional Temporal Entanglement
arXiv:2601.07678v2 Announce Type: replace Abstract: High-dimensional entanglement is considered to hold great potential for quantum key distribution (QKD) in high-loss and -noise scenarios. To harness its robustness, we construct a source for high-dimensional time-bin entangled photons optimized for high brightness, low complexity, and long-term stability. We certify the generated high-dimensional entanglement with a new witness employing nested Franson interferometry. Finally, we obtain key rates using a novel, noise-resilient QKD protocol. Our flexible evaluation method, centered around discretizations of the time stream, enables the same dataset to be processed while varying parameters such as state dimensionality and time bin length, allowing optimization of performance under given environmental conditions. Our results indicate regions within the accessible parameter space where high key rates per time are achievable for dimensionalities larger than two.
Abstract:High-dimensional entanglement is considered to hold great potential for quantum key distribution (QKD) in high-loss and -noise scenarios. To harness its robustness, we construct a source for high-dimensional time-bin entangled photons optimized for high brightness, low complexity, and long-term stability. We certify the generated high-dimensional entanglement with a new witness employing nested Franson interferometry. Finally, we obtain key rates using a novel, noise-resilient QKD protocol. Our flexible evaluation method, centered around discretizations of the time stream, enables the same dataset to be processed while varying parameters such as state dimensionality and time bin length, allowing optimization of performance under given environmental conditions. Our results indicate regions within the accessible parameter space where high key rates per time are achievable for dimensionalities larger than two.
arXiv:2601.07678 [quant-ph]
(or arXiv:2601.07678v2 [quant-ph] for this version)
https://doi.org/10.48550/arXiv.2601.07678 Focus to learn more arXiv-issued DOI via DataCite
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Full text under the publisher's open licence · 213 words
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