2022
DOI: 10.48550/arxiv.2201.07259
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Frequency-bin entanglement from domain-engineered down-conversion

Christopher L. Morrison,
Francesco Graffitti,
Peter Barrow
et al.

Abstract: Frequency encoding is quickly becoming an attractive prospect for quantum information protocols owing to larger Hilbert spaces and increased resilience to noise compared to other photonic degrees of freedom. To fully make use of frequency encoding as a practical paradigm for QIP, an efficient and simple source of frequency entanglement is required. Here we present a single-pass source of discrete frequency-bin entanglement which does not use filtering or a resonant cavity. We use a domain-engineered nonlinear … Show more

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Cited by 3 publications
(4 citation statements)
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“…Therefore, the convergence shows the feasibility of our work, meanwhile, it shows that PSO is a versatile tool in the crystal structure design. In addition, we believe our method can be utilized for designing special non-linear crystals to generate exotic quantum states for quantum sensing and metrology [33,45,48,56]. We note that other optimization algorithms, such as simulated annealing or genetic algorithms, are also suitable for this kind of optimization problem.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Therefore, the convergence shows the feasibility of our work, meanwhile, it shows that PSO is a versatile tool in the crystal structure design. In addition, we believe our method can be utilized for designing special non-linear crystals to generate exotic quantum states for quantum sensing and metrology [33,45,48,56]. We note that other optimization algorithms, such as simulated annealing or genetic algorithms, are also suitable for this kind of optimization problem.…”
Section: Discussionmentioning
confidence: 99%
“…Noted that machine learning technology is developing in many fields, such as both classical device [39] and quantum ones [40,41]. The third one is to modulate the domain sequence using two-domain blocks [42] or one-domain blocks [43][44][45][46][47][48], and this method has also been optimized using a simulated annealing algorithm [49,50]. These methods are very effective but limited to the optimization of the KTP crystal.…”
Section: (B)mentioning
confidence: 99%
“…[38] Noted that machine learning technology is developing in many fields, such as both classical device [39] and quantum ones. [40,41] The third one is to modulate the domain sequence using two-domain blocks [42] or one-domain blocks, [43][44][45][46][47][48] and this method has also been optimized using a simulated annealing algorithm. [49,50] These methods are very effective but limited to the optimization of the KTP crystal.…”
Section: Figure 1amentioning
confidence: 99%
“…Moreover, as discovered by Ref. [170], SPDC spatial correlations also display three-dimensional spatial structure dependent on phase matching conditions, as could be tuned for example by custom poling of nonlinear crystals [204]. Lastly, we note that quantum-enabled plenoptic imaging has attracted considerable interest in recent years, which can also be facilitated by the real-time characterization of SPDC two-photon spatial correlations [205,206].…”
Section: Point-spread Function Imaging In Real-timementioning
confidence: 56%