This speaker series is geared towards undergrad (and grad) researchers in quantum information science and technology,and all are welcome.
Speaker: Linsey Rodenbach (NVIDIA)
When: Tuesday 08/18, 2pm
Where: Bill & Melinda Gates Center for Computer Science & Engineering, Room G04 (from the main entrance, take the stairs down on the left)
Title: Why Quantum Computing Requires AI, HPC and Simulation
Abstract: Quantum computing will not scale through qubits alone. It will depend on a tight feedback loop among quantum hardware, AI-driven calibration and control, high-performance computing (HPC), and classical simulation.
This talk introduces that loop from an experimentalist’s perspective. We will discuss how AI can help automate and guide the complex, data-intensive calibration workflows needed to operate quantum processors, using NVIDIA’s Ising Calibration work as an example. We will then examine quantum-computing workloads—such as quantum error correction and real-time stabilization—that require low-latency, high-bandwidth connections to accelerated classical compute resources, and how NVQLink, NVIDIA’s open reference architecture for hybrid quantum–classical communication, enables this. Finally, we will look briefly at the role of large-scale simulation today and beyond fault-tolerant quantum computing: advancing quantum algorithms, understanding hardware behavior, validating results, and guiding the design of better quantum devices. The central message is that useful quantum computing will be a hybrid scientific instrument—built and operated through the combined strengths of quantum acceleration, AI, simulation, and HPC.