About
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?
Chairs/Organizers
Invited Participants
Dorit Aharonov (Hebrew University of Jerusalem), Gorjan Alagic (QuICS, University of Maryland), Ehud Altman (UC Berkeley), Andris Ambainis (University of Latvia), Rotem Arnon-Friedman (UC Berkeley), Srinivasan Arunachalam (MIT), Ryan Babbush (Google, Inc.), Shalev Ben-David (NIST & University of Maryland), Daniel J. Bernstein (University of Illinois at Chicago and Ruhr University Bochum), Dan Boneh (Stanford University), Adam Bouland (UC Berkeley), Zvika Brakerski (Weizmann Institute of Science), Fernando Brandao (Caltech), Sergey Bravyi (IBM T.J. Watson Research Center), Harry Buhrman (Centrum Wiskunde & Informatica), Garnet Chan (Caltech), Alessandro Chiesa (UC Berkeley), Andrew Childs (University of Maryland), Isaac Chuang (MIT), Ignacio Cirac (Max-Planck-Institut für Quantenoptik), Andrea Wei Coladangelo (California Institute of Technology), Matthew Coudron (University of Waterloo), Elizabeth Crosson (University of New Mexico), David DiVincenzo (RWTH Aachen), João Doriguello (University of Bristol), Yfke Dulek (QuSoft), Kirsten Eisentraeger (Penn State), Jens Eisert (Freie Universität Berlin), Di Fang (UC Berkeley), Edward Farhi (Google), Bill Fefferman (University of Chicago), Joseph Fitzsimons (Horizon Quantum Computing), Sanjam Garg (UC Berkeley), Craig Gidney (Google), András Pál Gilyén (Caltech), David Gosset (University of Waterloo), Daniel Gottesman (Perimeter Institute), Alex Bredariol Grilo (CWI and QuSoft), Sean Hallgren (Pennsylvania State University), Patrick Hayden (Stanford University), Martin Head-Gordon (UC Berkeley), Nicholas Hunter-Jones (Perimeter Institute), Sandra Irani (UC Irvine), Stephen Jordan (Microsoft Research), Iordanis Kerenidis (CNRS / QC Ware), Shelby Kimmel (Middlebury College), Alexandra Kolla (University of Colorado Boulder), Robin Kothari (Microsoft Research), Greg Kuperberg (UC Davis), Jonas Landman (University of Paris), Tanja Lange (Technische Universiteit Eindhoven), Francois Le Gall (Nagoya University), Debbie Leung (University of Waterloo), Tongyang Li (University of Maryland), Daniel Liang (UT Austin), Lin Lin (UC Berkeley), Chang Liu (Ohio University), Guang-Hao Low (Microsoft Research), Frédéric Magniez (Université Paris-Diderot - Paris 7), Urmila Mahadev (Microsoft Research), Alexander May (Ruhr-Universität Bochum), Nicholas Mayhall (Virginia Tech), Jarrod McClean (Google), Saeed Mehraban (Massachusetts Institute of Technology), Tony Metger (Caltech), Joel Moore (UC Berkeley), Ashwin Nayak (University of Waterloo), Maris Ozols (University of Amsterdam), Alexander Poremba (Caltech), Anupam Prakash (QC Ware), Prasad Raghavendra (UC Berkeley), Patrick Rebentrost (CQT Singapore), Ben Reichardt (University of Southern California), Siobhan Roberts (New York Times/ Simons Institute Journalist in Residence), Jérémie Roland (Université Libre de Bruxelles), Miklos Santha (Université Paris Diderot - Paris 7), Christian Schaffner (University of Amsterdam), Norbert Schuch (Max-Planck Institute of Quantum Optics), Omri Shmueli (Tel Aviv University), Vadim Smelyansky (Google), Mehdi Soleimanifar (MIT), Nikhil Srivastava (UC Berkeley), Aarthi Sundaram (Microsoft), Ewin Tang (University of Washington), Barbara Terhal (Delft University of Technology), Umesh Vazirani (UC Berkeley), Thomas Vidick (California Institute of Technology), Birgitta Whaley (UC Berkeley), Alec White (Caltech), James Whitfield (Dartmouth College), Nathan Wiebe (University of Washington), Xiaodi Wu (University of Maryland), Amitabh Yadav (Lawrence Berkeley National Laboratory), Norman Yao (UC Berkeley), Penghui Yao (Nanjing University), Henry Yuen (University of Toronto), Mike Zaletel (UC Berkeley), Mark Zhandry (Princeton University)