ALBUQUERQUE, N.M., 5 September 2025 – IEEE Quantum Week closes today, breaking previous registration records: The conference welcomed 1,700+ registrants eager to immerse themselves in cutting-edge research and practical advances in quantum tech.. In addition, more than 80 exhibitors convened 31 August – 5 September at the Albuquerque Convention Center in Albuquerque, New Mexico, U.S., to exhibit their latest quantum applications.
“The quantum computing community has made tremendous progress in recent years,” said Candace Culhane, 2025 IEEE Quantum Week General Chair. “Annually, Quantum Week brings together the visionaries and problem solvers who are actively leading quantum advances. The collaboration and knowledge sharing that takes place at the conference continue to drive the future of the field.”
Research and development achievements
The IEEE Quantum Week technical program delivered significant new findings in all areas of quantum computing and technology. Through 261 technical papers and over 600 hours of presentations across 18 parallel tracks over six days, IEEE Quantum Week revealed the milestones that have influenced the evolution of quantum technology. From new research leading the path to the quantum Internet to results that are making quantum networking and distributed quantum computing a reality, IEEE Quantum Week served as the primary industry forum to shape the future of this multidisciplinary field. IEEE Quantum Week also featured 41 community-building workshops, 36 workforce-focused tutorials, and 13 stimulating panels, underscoring its role as a vibrant ecosystem where researchers, practitioners, educators, and industry leaders come together to advance the quantum future.
For instance, consider this year’s IEEE Quantum Technical Community (QTC) Distinguished Best Technical Paper Award: Quantum-Enhanced Parameter-Efficient Learning for Typhoon Trajectory Forecasting. The paper explores a novel quantum approach to typhoon trajectory forecasting that utilizes quantum technology to overcome both the atmospheric complexity and the resource requirements of deep learning models. This new method “represents the first application of quantum machine learning (QML) to large-scale typhoon trajectory prediction, offering a scalable and energy-efficient approach to climate modeling.” According to the authors, their findings demonstrate that the proposed process of Quantum Parameter Adaptation (QPA) “significantly reduces the number of trainable parameters while preserving performance, making high-performance forecasting more accessible and sustainable through hybrid quantum-classical learning.”
IEEE Quantum Week also featured leaders in the field, including two Nobel Laureates, for a robust program of nine keynotes, including:
Zach Yerushalmi, Elevate Quantum – “Schrödinger’s Pitch: Telling the Quantum Story in a Binary Age of Hype and Indifference,” with remarks from New Mexico Governor Michelle Lujan Grisham
Rodney VanMeter, Keio University – “Quantum Multicomputers”
Nobel Laureates David Wineland, University of Oregon, and William Phillips, NIST – “100 Years of Quantum Science and Technology”
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