Zobrazeno 1 - 10
of 933
pro vyhledávání: '"WALMSLEY, IAN A."'
Autor:
Burdekin, Paul M., Wenniger, Ilse Maillette de Buy, Sagona-Stophel, Stephen, Szuniewicz, Jerzy, Zhang, Aonan, Thomas, Sarah E., Walmsley, Ian A.
Future optical quantum technologies, including quantum networks and distributed quantum computing and sensing, demand efficient, broadband quantum memories. However, achieving high efficiencies in optical quantum memory protocols is a significant cha
Externí odkaz:
http://arxiv.org/abs/2411.17365
Autor:
Li, Zhenghao, Kendall, Matthew J. H., Machado, Gerard J., Zhu, Ruidi, Mer, Ewan, Zhan, Hao, Zhang, Aonan, Yu, Shang, Walmsley, Ian A., Patel, Raj B.
Transition-Edge Sensors (TESs) are very effective photon-number-resolving (PNR) detectors that have enabled many photonic quantum technologies. However, their relatively slow thermal recovery time severely limits their operation rate in experimental
Externí odkaz:
http://arxiv.org/abs/2411.15360
Autor:
Yu, Shang, Jia, Zhian, Zhang, Aonan, Mer, Ewan, Li, Zhenghao, Crescimanna, Valerio, Chen, Kuan-Cheng, Patel, Raj B., Walmsley, Ian A., Kaszlikowski, Dagomir
At the dynamic nexus of artificial intelligence and quantum technology, quantum neural networks (QNNs) play an important role as an emerging technology in the rapidly developing field of quantum machine learning. This development is set to revolution
Externí odkaz:
http://arxiv.org/abs/2409.02533
Reliably characterised pulses are the starting point of any application of ultrafast techniques. Unfortunately, experimental constraints do not always allow optimising the characterisation conditions. This dictates the need for refined analysis metho
Externí odkaz:
http://arxiv.org/abs/2407.02976
Autor:
Yu, Shang, Zhong, Zhi-Peng, Fang, Yuhua, Patel, Raj B., Li, Qing-Peng, Liu, Wei, Li, Zhenghao, Xu, Liang, Sagona-Stophel, Steven, Mer, Ewan, Thomas, Sarah E., Meng, Yu, Li, Zhi-Peng, Yang, Yuan-Ze, Wang, Zhao-An, Guo, Nai-Jie, Zhang, Wen-Hao, Tranmer, Geoffrey K, Dong, Ying, Wang, Yi-Tao, Tang, Jian-Shun, Li, Chuan-Feng, Walmsley, Ian A., Guo, Guang-Can
Gaussian Boson Sampling (GBS) exhibits a unique ability to solve graph problems, such as finding cliques in complex graphs. It is noteworthy that many drug discovery tasks can be viewed as the clique-finding process, making them potentially suitable
Externí odkaz:
http://arxiv.org/abs/2210.14877
Autor:
Sun, Bangshan, Morozko, Fyodor, Salter, Patrick S., Moser, Simon, Pong, Zhikai, Patel, Raj B., Walmsley, Ian A., Wang, Mohan, Hazan, Adir, Barre, Nicolas, Jesacher, Alexander, Fells, Julian, He, Chao, Katiyi, Aviad, Tian, ZhenNan, Karabchevsky, Alina, Booth, Martin J.
Publikováno v:
Light: Science & Applications (2022) 11:214
Photonics integrated circuitry would benefit considerably from the ability to arbitrarily control waveguide cross-sections with high precision and low loss, in order to provide more degrees of freedom in manipulating propagating light. Here, we repor
Externí odkaz:
http://arxiv.org/abs/2112.02688
Autor:
Bulmer, Jacob F. F., Bell, Bryn A., Chadwick, Rachel S., Jones, Alex E., Moise, Diana, Rigazzi, Alessandro, Thorbecke, Jan, Haus, Utz-Uwe, Van Vaerenbergh, Thomas, Patel, Raj B., Walmsley, Ian A., Laing, Anthony
Publikováno v:
Sci. Adv. 8, eabl9236 (2022)
Identifying the boundary beyond which quantum machines provide a computational advantage over their classical counterparts is a crucial step in charting their usefulness. Gaussian Boson Sampling (GBS), in which photons are measured from a highly enta
Externí odkaz:
http://arxiv.org/abs/2108.01622
Autor:
Bell, Bryn A., Walmsley, Ian A.
Publikováno v:
APL Photonics 6, 070804 (2021)
Quantum integrated photonics requires large-scale linear optical circuitry, and for many applications it is desirable to have a universally programmable circuit, able to implement an arbitrary unitary transformation on a number of modes. This has bee
Externí odkaz:
http://arxiv.org/abs/2104.07561
Autor:
Walmsley, Ian
Publikováno v:
Drugs, Habits and Social Policy, 2023, Vol. 24, Issue 3, pp. 220-231.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/DHS-05-2023-0019
