@unpublished{Sempere-Llagostera:2022,
author = {Sempere-Llagostera, S and Patel, RB and Walmsley, IA and Kolthammer, WS},
publisher = {Arxiv},
title = {Experimentally finding dense subgraphs using a time-bin encoded Gaussian  boson sampling device},
url = {http://arxiv.org/abs/2204.05254v1},
year = {2022}
}

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TY  - UNPB
AB  - Gaussian Boson Sampling (GBS) is a quantum computing concept based on drawingsamples from a multimode nonclassical Gaussian state using photon-numberresolving detectors. It was initially posed as a near-term approach aiming toachieve quantum advantage, but several applications have been proposed eversince, such as the calculation of graph features or molecular vibronic spectra,among others. For the first time, we use a time-bin encoded interferometer toimplement GBS experimentally and extract samples to enhance the search fordense subgraphs in a graph. Our results indicate an improvement over classicalmethods for subgraphs of sizes three and four in a graph containing ten nodes.In addition, we numerically explore the role of imperfections in the opticalcircuit and on the performance of the algorithm.
AU  - Sempere-Llagostera,S
AU  - Patel,RB
AU  - Walmsley,IA
AU  - Kolthammer,WS
PB  - Arxiv
PY  - 2022///
TI  - Experimentally finding dense subgraphs using a time-bin encoded Gaussian  boson sampling device
UR  - http://arxiv.org/abs/2204.05254v1
UR  - http://hdl.handle.net/10044/1/97521
ER  - 

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