Quantum computing holds the potential to revolutionize AI by harnessing the powers of quantum mechanics to solve problems that exceed the capabilities of traditional supercomputers. By creating new quantum algorithms, it may be possible to substantially reduce the computing time needed to use machine learning to solve complex problems, such as formulating safe nanomaterials, enhancing climate forecasts, and discovering novel drug compounds. Taking these ideas from theory to practice will require significant resources, and the countries and companies who achieve quantum supremacy are likely to gain a competitive edge in the global AI race.
Watch for a discussion about the impact quantum computing will have on AI, the current state of the field and near-term challenges, and the role that policy can play in accelerating this paradigm shift in computing and AI.
Date and Time:
- October 14, 2020, from 9:00 AM to 10:00 AM (ET) / from 3:00 PM to 4:00 PM (CEST)
- Freeke Heijman, Special Advisor to the Dutch Minister of Economic Affairs and Climate Policy on Quantum Technologies and Director of Strategic Development at QuTech Delft
- Joseph D. Lykken, Deputy Director for Research, Fermi National Accelerator Laboratory and member of the U.S. National Quantum Initiative Advisory Committee
- Markus Pflitsch, Chairman and Founder of Terra Quantum AG
- Denise Ruffner, Chief Business Officer, Cambridge Quantum Computing
- Eline Chivot, Senior Policy Analyst, Center for Data Innovation (moderator)
- Hodan Omaar, Policy Analyst, Center for Data Innovation (moderator)
Follow @DataInnovation and join the discussion on Twitter with the hashtag #datainnovation.