Watch Recording - Online Seminar
May 6, 2025
Designing QEC for Large-Scale Quantum Supercomputers
This seminar explores critical aspects of quantum error correction (QEC) for large-scale quantum supercomputers. Learn about essential controller-decoder design requirements for next-generation QEC circuits.
The session also presents the co-developed DGX Quantum solution from Quantum Machines and NVIDIA, demonstrating how GPU/CPU acceleration can significantly enhance quantum control and enable advanced, AI-driven hybrid workflows at scale, bringing quantum computing closer to practical commercial deployment.
Agenda:
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Dr. Yaniv Kurman
Controller-decoder requirements for the next generation of quantum error correction circuits. Reference: arXiv:2412.00289 -
Dr. Ramon Szmuk
GPU/CPU acceleration for quantum control – Quantum Machines & NVIDIA’s co-developed DGX Quantum solution
Our speakers:
- Dr. Yaniv Kurman
Australia's National Science Facility (CSIRO)
Dr. Kurman is a multi-disciplinary quantum researcher with a background in light-matter interactions, quantum computing, and QEC. His PhD was conducted at the Technion (Israel) under the supervision of Prof. Ido Kaminer in the Electrical Engineering department. After graduation, Dr. Kurman led the QEC research in Quantum Machines, focusing on controlling system design for implementing non-Clifford circuits with QEC in real hardware. These days, Dr. Kurman is a post-doctoral fellow in Australia's National Science facility (CSIRO), focusing on reaching energetically favorable quantum computation architectures.
systems.
- Dr. Ramon Szmuk
Product Solutions Physicist, Quantum Machines
Ramon Szmuk is currently a Product Manager at Quantum Machines, where he leads solutions for the Atomic, Molecular, and Optical (AMO) market. Previously, he worked as a Research Scientist at MuQuans, focusing on the design and development of atomic clocks. He earned his PhD in 2015 from the Paris Observatory (SYRTE).
For any follow-up questions: ramon@quantum-machines.co.