Zobrazeno 1 - 10
of 5 311
pro vyhledávání: '"Fenwick P"'
Autor:
Fenwick, Kate L., Baker, Jonathan, Thekkadath, Guillaume S., Goldberg, Aaron Z., Heshami, Khabat, Bustard, Philip J., England, Duncan, Bouchard, Frédéric, Sussman, Benjamin
Multiphoton interference is crucial to many photonic quantum technologies. In particular, interference forms the basis of optical quantum information processing platforms and can lead to significant computational advantages. It is therefore interesti
Externí odkaz:
http://arxiv.org/abs/2409.11483
Both freeze-in of very weakly coupled dark matter and freeze-out of initially thermalized dark matter from the primordial heat bath provide interesting possibilities for dark matter creation in the early universe. Both scenarios allow for a calculati
Externí odkaz:
http://arxiv.org/abs/2409.05915
This chapter explores the essential role of Binding Corporate Rules (BCRs) in managing and facilitating secure health data transfers within corporate groups under the EU General Data Protection Regulation (GDPR). BCRs are tailored to ensure complianc
Externí odkaz:
http://arxiv.org/abs/2407.21281
The General Data Protection Regulation contains a blanket prohibition on the transfer of personal data outside of the European Economic Area unless strict requirements are met. The rationale for this provision is to protect personal data and data sub
Externí odkaz:
http://arxiv.org/abs/2407.20514
Autor:
Compagnucci, Marcelo Corrales, Fenwick, Mark, Wilson, Michael Lowery, Forgo, Nikolaus, Baernighausen, Till
This introductory chapter briefly outlines the main theme of this volume, namely, to review the new opportunities and risks of digital healthcare from various disciplinary perspectives. These perspectives include law, public policy, organisational st
Externí odkaz:
http://arxiv.org/abs/2407.20300
Identifying and then implementing an effective response to disruptive new AI technologies is enormously challenging for any business looking to integrate AI into their operations, as well as regulators looking to leverage AI-related innovation as a m
Externí odkaz:
http://arxiv.org/abs/2407.19439
Autor:
Fenwick, Joshua G., Ghezelbash, Masoud
We construct exact analytical Taub-NUT solutions in the context of $f(T)$ gravity. We study the physical properties of the solutions, and compare them with those of the Taub-NUT solution in Einstein gravity.
Comment: 10 pages
Comment: 10 pages
Externí odkaz:
http://arxiv.org/abs/2407.05172
Autor:
Bouchard, Frédéric, Fenwick, Kate, Bonsma-Fisher, Kent, England, Duncan, Bustard, Philip J., Heshami, Khabat, Sussman, Benjamin
We propose a quantum information processing platform that utilizes the ultrafast time-bin encoding of photons. This approach offers a pathway to scalability by leveraging the inherent phase stability of collinear temporal interferometric networks at
Externí odkaz:
http://arxiv.org/abs/2404.17657
Autor:
Fenwick, Kate L., Bouchard, Frédéric, England, Duncan, Bustard, Philip J., Heshami, Khabat, Sussman, Benjamin
The quantum walk (QW) has proven to be a valuable testbed for fundamental inquiries in quantum technology applications such as quantum simulation and quantum search algorithms. Many benefits have been found by exploring implementations of QWs in vari
Externí odkaz:
http://arxiv.org/abs/2404.02238
The conditional generative adversarial rainfall model "cGAN" developed for the UK \cite{Harris22} was trained to post-process into an ensemble and downscale ERA5 rainfall to 1km resolution over three regions of the USA and the UK. Relative to radar d
Externí odkaz:
http://arxiv.org/abs/2309.15689