Machine learning of quantum data using optimal similarity measurements
Zhenghao Li, Hao Zhan, Shana H. Winston, Ewan Mer, Zhenghao Yin, Shang Yu, Yazeed K. Alwehaibi, Gerard J. Machado, Dayne Marcus Lopena, Lijian Zhang, M. S. Kim, β¦
https://t.co/S3ruWJ4j6H [πππππ-ππ]
New paper out in Phys. Rev. Research.
We propose an all-photonic protocol that closes the detection loophole at the absolute Eberhard limit (Ξ·_d β₯ 66.7%) with βΞ·_c loss scaling β loophole-free Bell tests over 100s of km with todayβs tech.
https://t.co/U7XOuqbj73
Published in Physical Review A, we consider GBS-like circuits for non-Gaussian state engineering, where the measurement of a subset of modes adaptively reconfigures the subsequent layers, to maximise the success rate. https://t.co/ScnKN2ARrU
The government have just announced their continuined investment in the UKNQTP in the form of five new hubs, including a new quantum computing hub in Oxford. RUQu are excited to be taking prominent role in the hub's photonic quantum computing research over the coming years!
Five new quantum research hubs, backed by over Β£100 million of government funding have been announced by Science Secretary Peter Kyle. These hubs will aim to deliver breakthroughs in areas including healthcare, cybersecurity and transport. https://t.co/8GEN9Jd03w
The RUQu crew were delighted to welcome Robert J. Chapman (3rd from the right) who gave an invited seminar on his recent work on thin-film lithium niobate quantum photonics!
If you haven't yet, do submit to #CQIQCX β 5 daysleft till the abstract deadline!
It's certain to be a stimulating conference as always!
(Please retweet / disseminate widely!)
@CQIQC_Toronto#QuantumInformation#FoundationsOfQM
https://t.co/i22A9vg9Mx