Empowering scientific innovation with HPC AI and Quantum –with Aseem Datar
summary
Claim: platforms combining AI, supercomputing and quantum aim to compress “250 years of discovery into 25,” with models trained on 200 million molecules and products delivered via Azure quantum elements in private preview. Concrete wins: collaboration with PNNL narrows 32 million compounds to one candidate, builds a physical battery using 70 percent less lithium and powers a clock after an 80‑hour cycle. Quantum progress includes running 14,000 experiments on logical qubits with an 800× improvement in error rate.
AI-written summary · about
chapters (9)
- 0:00Introduction
- 1:04Microsoft’s vision for science
- 2:37Azure Quantum Elements
- 3:59Industry impact on R&D
- 5:25Battery and materials breakthroughs
- 6:27Future of AI and quantum computing
- 8:09AI, quantum, and supercomputing convergence
- 9:13Scientific Copilot excitement
- 9:54Getting started today
related talks
27mPractical Quantum Computing
01h 07mQuantum architecture for utility scale with HPC, AI and Quantum
19mAI x Quantum Shaping Tomorrow’s Possibilities Today
11mScience & Industrial Innovation With Quantum-Accelerated Highperformance Computers
19mQuantum Computing: Hype, Reality and Business Relevance for Materials Discovery
47mUnboxing Quantum Computing
59mKeynote Panel AI in Quantum Computing
59mQuantum Computing Concepts