A discussion with Sankar Das Sarma and Chetan Nayak

Channel:
Microsoft Research
Subscribers:
343,000
Published on ● Video Link: https://www.youtube.com/watch?v=Q8CHms4ixYc


Category:
Discussion
Duration: 39:47
9,939 views
213

Dr. Sankar Das Sarma, a Distinguished University Professor of physics at University of Maryland joins Chetan Nayak, Distinguished Engineer of Quantum at Microsoft to discuss Microsoft’s unique approach to building a fully scalable quantum machine.

See more at https://www.microsoft.com/en-us/research/video/a-discussion-with-sankar-das-sarma-and-chetan-nayak/



Other Videos By Microsoft Research


2022-05-02Designing an AI-driven Neighborhood Navigator with Black and Latinx NYC Residents
2022-04-25Overview of AI Research at the VUB Artificial Intelligence Lab
2022-04-25Deep Medicine: Leveraging AI for health in a relevant and impactful way in Africa
2022-04-25Social Media and Elections in Africa: A blessing or a curse?
2022-04-13Building with, not for: Case Studies of Community-Driven Employment Innovations
2022-04-04Introducing the Microsoft Africa Research Institute (MARI)
2022-03-31MSR-IISc AI Seminar Series: Learning to Walk - Jitendra Malik
2022-03-29PeopleLens: Using AI to support social interaction between children who are blind and their peers
2022-03-29The Confidential Computing team at Microsoft Research Cambridge
2022-03-25The Cloud Infrastructure team at Microsoft Research Cambridge
2022-03-14A discussion with Sankar Das Sarma and Chetan Nayak
2022-03-09Collaborating to Develop a Low-cost Keratoconus Diagnostic Solution
2022-03-02Intersectional Tech: Black Praxis in Digital Gaming
2022-02-25Reinforcement Learning (RL) Open Source Fest 2021 | Final Presentations - Part 1
2022-02-25Reinforcement Learning (RL) Open Source Fest 2021 | Final Presentations - Part 2
2022-02-24Towards a New Biology Nexus: Race, Society and Story in the Science of Life
2022-02-18Microsoft Soundscape - an Illustrated Demonstration
2022-02-08Research talk: Maia Chess: A human-like neural network chess engine
2022-02-08Research talk: Safe reinforcement learning using advantage-based intervention
2022-02-08Research talk: Reinforcement learning with preference feedback
2022-02-08Keynote: Key research challenges for real world reinforcement learning