On-Demand Webinar

NVIDIA Webinar

NVIDIA Quantum Day

Discover the latest advances in accelerated quantum computing development.

Introduction
Agenda
Resources

Introduction
Agenda
Resources

On Demand Webinar

Explore how accelerated computing and AI are driving breakthroughs in quantum computing, and learn the latest on how NVIDIA is building tomorrow’s quantum supercomputers.

This virtual event brings together researchers, developers, and industry leaders driving key developments in areas such as quantum error correction, applications development, calibration, and scalable quantum‑GPU integration.

Join us online on April 14 to learn from experts how AI and accelerated computing are driving quantum innovation and enabling transformative applications across science and technology.

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Event Information

Date: Tuesday, April 14
Time: 8 a.m. – 12:45 p.m. PT
Duration: 5 hours

Event Information

On-Demand Webinar
Duration: 5 hours

Agenda

8–8:15 a.m. PT

Quantum Day Introduction

Kick off Quantum Day with an overview of the quantum landscape, key challenges, and how developers can start building quantum-ready apps.

Nicholas Harrigan, NVIDIA

Audience: General (All)

8:15–9:00 a.m. PT

NVIDIA Quantum Special Address

Hear NVIDIA's vision, roadmap, and key announcements for accelerating quantum computing breakthroughs.

Krysta Svore, NVIDIA

Audience: General (All)

9:00–9:45 a.m. PT

AI for Calibration: Automating Quantum Hardware

Discover how AI-driven calibration accelerates tuning of qubits and control systems, boosting stability, throughput, and hardware uptime.

Juha Vartiainen, IQM

Audience: Developer

9:45–10:30 a.m. PT

AI for Quantum Error Correction: Pre-Decoding With Improved Latency and Error Rates

Learn how AI-based decoders are speeding up quantum error correction and lowering latency and error rates to accelerate large-scale quantum computation.

Christopher Chamberland, NVIDIA
Joan Camps, Riverlane

Audience: Developer

10:30–11:15 a.m. PT

AI for Applications: Unlocking Quantum Algorithms at Scale

See how AI helps design, optimize, and validate quantum algorithms, enabling scalable applications in reach of earlier quantum hardware.

Stephen Clark, Quantinuum

Audience: Developer

11:15 a.m.–12:00 p.m. PT

Quantum-GPU Supercomputing: Integrating and Scaling Quantum Hardware

Learn the state of the art in hybrid quantum–GPU workflows—tightly coupling QPUs and supercomputers for useful quantum applications.

Yaniv Kurman, Quantum Machines

Audience: Developer

12:00–12:45 p.m. PT

The Supercomputer in the Lab: Rapid Quantum Development With NVIDIA DGX Spark

Learn how NVIDIA DGX Spark is bringing supercomputing within reach of quantum computing labs for rapid quantum-classical co-design.

Steven Frankel, Technion - Israel Institute of Technology

Audience: Developer

Speakers

Nicholas Harrigan
Product Marketing Manager - Quantum Computing
NVIDIA

Nicholas Harrigan is a product marketing manager for quantum at NVIDIA, communicating the company's pivotal role in advancing large-scale quantum computation. Formerly, he was a senior quantum scientist at PsiQuantum. Nicholas has created science communication programs at various academic institutions and co-authored the O’Reilly book “Programming Quantum Computers.” He holds a Ph.D. from Imperial College London, where his research focused on quantum foundations and quantum information.

Krysta Svore
Vice President, Applied Research - Quantum Computing
NVIDIA

Dr. Krysta Svore is vice president of applied research for quantum computing at NVIDIA. Previously, she spent 19 years at Microsoft, where she served as technical fellow and vice president of advanced quantum development. There, she pioneered reliable quantum computing through the co-design of hardware, software, and error correction and helped bring the first quantum computers to Azure. Dr. Svore has published more than 70 refereed articles, holds over 30 patents, and has advised the National Quantum Initiative, the U.S. Department of Energy, and DARPA.

Juha Vartiainen
Co-founder and Chief Global Affairs Officer
IQM

Dr. Juha Vartiainen works at IQM Quantum Computers, a leading European developer of superconducting quantum computers for research labs, HPC centers, universities, and enterprises. With a background in quantum physics, he focuses on advancing partnerships across the quantum and AI ecosystem, including the integration of quantum computing with high-performance and accelerated computing. Juha is a frequent speaker on the convergence of quantum, AI, and HPC, and on how these technologies can help unlock the next era of computing.

Christopher Chamberland
Senior QEC researcher
NVIDIA

Chris Chamberland is a senior researcher at NVIDIA specializing in fault-tolerant quantum error correction. He obtained his Ph.D. in 2018 under the supervision of Prof. Raymond Laflamme at the Institute for Quantum Computing. He has also been a research staff member at IBM, where he developed the heavy hexagon code, and a researcher at AWS quantum and Caltech, where he was lead author on Amazon's first blueprint paper for building a full-stack quantum computer using cat qubits. Chris has also developed a fault-tolerant magic-state preparation protocol and served as principal architect at Extropic, working on building thermodynamic AI chips.

Joan Camps
Senior QEC Researcher
Riverlane

Joan Camps is a senior staff quantum scientist and holds a Ph.D. in mathematical physics. He joined Riverlane in 2019, focusing on advancing fault-tolerant quantum algorithms and quantum error correction. Joan has contributed to multiple strands of Riverlane’s research, helping shape both the theoretical underpinnings and practical directions of the company’s work in fault-tolerant quantum computing. He currently leads Riverlane’s decoder research team, an interdisciplinary group of mathematicians, physicists, and engineers who collaborate on real-time decoding and fault-tolerant quantum computing. The team develops decoding approaches that address the algorithmic, architectural, and systems-level challenges involved in scaling quantum error correction to larger, more capable quantum processors

Stephen Clark
Head of AI
Quantinuum

Stephen Clark is head of artificial intelligence at Quantinuum. Previously, he spent 14 years as a member of faculty at the Department of Computer Science at the Universities of Oxford and Cambridge, and he has also been an honorary professor at Queen Mary University of London. From 2016 to 2021, he was a research scientist at Google DeepMind in London. Stephen holds an undergraduate degree in philosophy from the University of Cambridge and a Ph.D. in computer science and artificial intelligence from the University of Sussex. Much of his research has been in the areas of computational linguistics and natural language processing, and he now leads a team of researchers at Quantinuum, working at the intersection of AI and quantum computing.

Yaniv Kurman
Product Research Physicist
Quantum Machines

Yaniv Kurman, Ph.D., is a product research physicist at Quantum Machines and an applied quantum researcher with a multidisciplinary background spanning quantum computing, quantum error correction, and quantum optics/nanophotonics. His work focuses on the full classical stack required for fault-tolerant quantum computing, from analog hardware control to algorithm compilation into quantum error-correction operations, real-time control, and decoding. At Quantum Machines, he helps define requirements and performance metrics for quantum error-correction experiments from the near-term to utility-scale, demonstrates these capabilities on real hardware, and helps develop enabling products for fault-tolerant quantum computing.

Steven Frankel
Rosenblatt Chair, Faculty of Mechanical Engineering
Technion - Israel Institute of Technology

Prof. Steven H. Frankel is the Rosenblatt chaired professor of mechanical engineering at the Technion – Israel Institute of Technology. He earned his Ph.D. from the State University of New York at Buffalo in 1993 and subsequently joined the faculty at Purdue University. During his twenty-year tenure at Purdue, he rose through the academic ranks to become a professor of mechanical engineering, contributing extensively to the fields of computational fluid dynamics and turbulence modeling. In 2013, he moved to Israel to assume his current position at the Technion in Haifa. Professor Frankel resides in Bet Shemesh with his wife, four children, and two grandchildren

NVIDIA Quantum Day

On Demand Webinar

Event Information

Event Information

Agenda

Quantum Day Introduction

NVIDIA Quantum Special Address

AI for Calibration: Automating Quantum Hardware

AI for Quantum Error Correction: Pre-Decoding With Improved Latency and Error Rates

AI for Applications: Unlocking Quantum Algorithms at Scale

Quantum-GPU Supercomputing: Integrating and Scaling Quantum Hardware

The Supercomputer in the Lab: Rapid Quantum Development With NVIDIA DGX Spark

Speakers

Resources

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