This workshop will explore fundamental questions in quantum algorithms. What are the most promising avenues for novel quantum speed-ups: are they in quantum simulation, in quantum machine learning, in new algorithms for post-quantum crypto, in algorithms for quantum learning or testing? And what are the prospects for concrete speed-ups on near-term devices: what are the relevant cost models, which architectures are more noise-tolerant?
Further details about this workshop will be posted in due course. Enquiries may be sent to the organizers workshop-quantum1 [at] lists [dot] simons [dot] berkeley [dot] edu (at this address).
Registration is required to attend this workshop. Space may be limited, and you are advised to register early. The link to the registration form will appear on this page approximately 10 weeks before the workshop. To submit your name for consideration, please register and await confirmation of your acceptance before booking your travel.
Srinivasan Arunachalam (MIT), Ryan Babbush (Google, Inc.), Shalev Ben-David (University of Waterloo), Harry Buhrman (Centrum Wiskunde & Informatica), Matthew Coudron (University of Waterloo), Eddie Farhi (Google), Shelby Kimmel (Middlebury College), Francois Le Gall (Nagoya University), Tongyang Li (University of Maryland), Frédéric Magniez (Université Paris-Diderot - Paris 7), Urmila Mahadev (Microsoft Research), Alexander May (Ruhr-Universität Bochum), Jarrod McClean (Google), Ashwin Nayak (University of Waterloo), Anupam Prakash (Université Paris Diderot), Patrick Rebentrost (CQT Singapore), Jérémie Roland (Université Libre de Bruxelles), Miklos Santha (Université Paris Diderot - Paris 7), Vadim Smelyansky (Google)