NSF will fund eight quantum centers with $290 million

The U.S. National Science Foundation will invest $290 million across eight research institutes, building on a program initiated in 2020 following the 2018 “National Quantum Initiative Act.” Each institute will receive between $28 million and $37 million over five years to address critical hurdles in developing quantum technologies. These institutes connect scientists with federal agencies, companies, and educational organizations, according to NSF, and are designed to translate research into practical applications.

$290 Million Invested in Eight NSF Quantum Research Institutes

This latest allocation will distribute between $28 million and $37 million to each institute over five years, providing a considerable and consistent financial base for long-term research objectives. Three are newly formed, while five will receive renewed funding to expand upon previous NSF-supported work focused on diverse areas of quantum research. Since 2020, these institutes have advanced scientific understanding, discovering new approaches to building quantum computers and developing quantum sensors with potential for earlier disease detection.

“For more than four decades, NSF has been laying the foundational groundwork of research and discovery that is powering today’s modern quantum computing, sensing and communication,” said Brian Stone, Performing the Duties of the NSF Director. This investment supports research at 36 institutions of higher education across 19 states, with collaboration extending to U.S. Department of Energy national laboratories, the U.S. Department of Defense, and the National Institute of Standards and Technology.

Companies are partnering to accelerate the transfer of scientific results into scalable industrial production techniques. Stone added that “It’s time for focused activities to leverage that base of knowledge to drive us even farther forward to the benefit of all Americans,” highlighting the program’s ambition to unlock the potential of quantum technologies.

NSF FTQSAA: Fault Tolerance for Quantum Systems & Architectures

The National Science Foundation will dedicate significant resources to bolstering the resilience of quantum technologies through the newly funded NSF Quantum Leap Challenge Institute for Fault Tolerant Quantum Systems, Architectures and Applications (NSF FTQSAA). This institute will investigate methods to mitigate the inherent fragility of quantum information, a critical hurdle in realizing practical quantum devices. Researchers at NSF FTQSAA plan to experiment with both new software and hardware solutions, including novel materials designed to enhance the reliability of quantum sensors and computers.

NSF HQAN & MARQUIS: Modular Quantum Computing & Superconducting Junctions

Researchers at the NSF Quantum Leap Challenge Institute for Hybrid Quantum Architectures and Networks (NSF HQAN) are focused on building quantum computers not from a single technology, but by interconnecting diverse qubit types to maximize performance. This modular approach, receiving renewed funding as part of the $290 million investment, aims to overcome limitations inherent in any single qubit platform. NSF first invested in NSF HQAN in 2020, recognizing the potential of this architecture to enhance computational capabilities beyond what single-technology systems can achieve.

The institute’s work centers on the complex science and engineering required to seamlessly integrate these disparate quantum systems. These junctions, critical for building quantum computers and sensors, are the focus of materials science and semiconductor fabrication advancements. Researchers at NSF MARQUIS are working to improve their capabilities, aiming for more reliable and scalable quantum technologies, and their efforts span multiple disciplines to refine the materials and manufacturing processes used to create these essential electronic components.

Quantum Sensing Advances in Biophysics, Bioengineering, and Precision Measurement

Researchers at NSF QuBBE are developing quantum nanoprobes and techniques to measure properties within living cells, potentially improving diagnostic capabilities in biology and medicine. Similarly, NSF MARQUIS, the Institute for Manufacturable and Resilient Superconducting Quantum Information Systems is focused on improving Josephson junctions, critical components in superconducting qubit technologies, through advances in materials science and semiconductor fabrication. This collaborative approach extends to workforce development, with collective plans to train hundreds of students and researchers over the next five years through internships, mentorships, and partnerships with community colleges and high schools.

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Ivy Delaney

Ivy Delaney has been working with neural networks and machine learning since the mid-nineties, back when a couple of hidden layers and a long afternoon of training counted as ambitious. She has watched the field go from academic curiosity to the thing quietly running underneath everything, and she brings that long view to quantum computing. For Quantum Zeitgeist she covers the ground where the two fields meet. That means quantum machine learning and the variational algorithms it leans on, and it also means the less glamorous but more interesting story of classical machine learning already doing real work inside quantum machines, decoding error-correcting codes, calibrating noisy hardware and learning the error models that simulators depend on. She writes about the hardware those algorithms have to run on too, and about the post-quantum cryptography scramble that the same hardware has set off. Her stories typically start with the paper, whether that is peer-reviewed work, conference proceedings or an arXiv preprint, with the source linked so you can hold a claim up against the research it came from. She is unimpressed by benchmarks that will not say what they beat, and by demonstrations that only work in the press release.

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