Winter Conference
AI+Quantum
February 9–14, 2025
Organizers:
*Eun-Ah Kim, Cornell University
Xiaoliang Qi, Stanford University
Victor Galitsky, University of Maryland
Michael Brenner, Harvard University and Google Research
*organizer responsible for participant diversity
Artificial Intelligence (AI) and Quantum Science are among the most active areas in cutting-edge science and technology, with both addressing the computational complexity frontier. Although these two domains have evolved separately in the past, there are growing efforts to leverage recent breakthroughs in each field and tackle outstanding challenges through AI-Quantum synergy. The breakthroughs in language model (LLM) are enroute to establishing LLMs as new computational languages and breaking down barriers between domains. QI science is entering a new era, approaching error-corrected logical qubits and logical quantum processors, enabling quantum algorithms of unprecedented complexity. This conference aims to bring together researchers from academia and industry, leading the movement of AI-Quantum interdisciplinary research to address bottleneck issues and propel progress.
Topics will include:
- Application of LLM for state characterization and error correction on quantum hardware.
- Bootstrapping classical computing for quantum simulation.
- Using quantum hardware to explore improvements in AI’s learning dynamics.
- Using Quantum many-body physics research tasks as a testing ground for LLMs.
Learn more on the conference website here: https://sites.google.com/view/quai-acp-2025/home
Winter Conferences
From December through April each year, the Aspen Center for Physics hosts between six and eight one-week winter conferences. These single-session meetings, with typical attendance of about 80, are focused on the latest developments in the core physics areas of the Center. The details of the format vary, but most have a set of invited speakers, additional speakers drawn from the conference participants, and poster sessions that give an opportunity for all participants to present and discuss their work.