Quantum in the Next AI Supercomputer: Highlights from SF Tech Week 2026

Session 1, “Building the next supercomputer, together,” at sunset. From left: Roger Luo (Anyon Computing, moderator), Jin-Sung Kim (NVIDIA), Chiy-Ferng Alex Perng (Wistron) and Zvonimir Bandic (Western Digital).

Thank you to everyone who joined us on Wednesday, October 7, for “Quantum in the next AI Supercomputer” during SF Tech Week by a16z. We co-hosted the evening with NVIDIA and Wistron on a rooftop on the Embarcadero, near the Ferry Building, where three panel discussions ran from sunset into the night with the Bay Bridge behind the stage. Roger Luo, co-founder and CEO of Anyon Computing, moderated all three sessions.

The roof deck from the air as guests arrived.

The evening started from a simple premise: the next supercomputer will have QPUs, GPUs and CPUs tightly coupled in one machine. Getting quantum into that machine is a chip fab problem, an advanced manufacturing problem, a data center infrastructure problem and a software problem on top of being a quantum one, and the people who can solve those problems are already in the tech industry. GPUs did not become AI supercomputers because a chip company decided they would. Quantum is at a similar inflection point now, and AI is accelerating it beyond what anyone expected.

Building the next supercomputer, together

In the first session, Jin-Sung Kim of NVIDIA, Chiy-Ferng Alex Perng of Wistron and Zvonimir Bandic of Western Digital shared their perspectives on how industry should work together to address the challenges of building and scaling, from chips to computing infrastructure and integration with AI supercomputing.

Jin-Sung Kim (NVIDIA) answers a question in Session 1, next to Chiy-Ferng Alex Perng (Wistron) and Zvonimir Bandic (Western Digital).

Laying the foundations of a new economy

The second session brought together Mekena McGrew, PhD, of Deloitte, Abhishek Shukla of Prosperity7 Ventures and Inder Monga of the Energy Sciences Network (ESnet) to discuss the new economy, applications and investment opportunities that are emerging, together with the priorities of national labs and universities.

Session 2 at dusk. From left: Roger Luo, Mekena McGrew (Deloitte), Inder Monga (ESnet) and Abhishek Shukla (Prosperity7 Ventures).

Scaling quantum with AI, from lab to data center

In the third session, Shuxiang Cao of NVIDIA and Alex Shih of Q-CTRL shared how AI could accelerate the progress of quantum supercomputers to enable complex production workloads in large-scale computing centers.

Session 3 under the lit Bay Bridge. From left: Roger Luo, Shuxiang Cao (NVIDIA) and Alex Shih (Q-CTRL).

Celebrating national labs and universities

The evening was also a chance to celebrate the historic roles of national labs and universities in the development of modern computing and networking technologies, and to discuss the new mission of creating a new foundation of computing and networking with quantum. Congratulations to ESnet on its 40th anniversary and on helping build the Internet that connects people, computers and AIs across the world today.

After the panels

Conversations continued on the deck well after the last session. Our quantum processor hardware was on display, and after dark our demo screen showed quantum state evolution shot by shot, drawn from real single-shot measurements on superconducting qubits: one qubit driven through Rabi oscillations, and a single excitation swapping back and forth between two coupled qubits.

Quantum processor hardware on display during the reception.

“Quantum Dynamics, Shot by Shot” on the demo screen: a qubit’s Rabi oscillation (top) and one excitation swapping between two coupled qubits (bottom).

The bar poured the evening’s signature cocktails. Entanglement wore a yin-yang on its foam, a nod to the 2023 experiment in which researchers at the University of Ottawa, working with Sapienza University of Rome, visualized the wave function of two entangled photons in real time, in an image that looks like a yin-yang.

Entanglement, beside a Quantum Collins.

The Anyon, with our logo on the foam.

Thank you again to our speakers, to our co-hosts NVIDIA and Wistron, and to everyone who joined us. We look forward to seeing you at our next event.

About Anyon Computing

Anyon Computing Inc. (also known as Anyon Technologies) is a quantum computing company that provides superconducting modular quantum supercomputers, which it tightly couples with NVIDIA GPUs via NVQLink for data center deployment at scale. Anyon pioneered deploying NVIDIA NVQLink inside a commercial production data center and is among the first superconducting QPU backends integrated with NVIDIA CUDA-Q. Founded by pioneers from Caltech and UC Berkeley. https://www.anyoncomputing.com/

NVIDIA, CUDA-Q and NVQLink are trademarks and/or registered trademarks of NVIDIA Corporation in the U.S. and other countries. Other company and product names may be trademarks of the respective companies with which they are associated.