US NSF grants US$37.50 million to Yale University for developing practical quantum computers

The US National Science Foundation (NSF) has awarded US$37.50 million (approximately HK$292 million) to a multidisciplinary research team led by Yale University to design practical, self-correcting quantum computers from scratch. Researchers emphasize that for quantum computers to operate reliably and be applied practically, they must detect and correct errors at a rate faster than errors occur. This is currently the most pressing technical bottleneck in the field of quantum computing.

Robert Schoelkopf, a professor of applied physics and director of the newly established center, stated, "At this stage, error correction is the key scientific and engineering challenge for quantum computing to truly take off. Through this project, we hope to fundamentally understand the scientific and engineering principles that make quantum computers easier to manufacture and more reliable to operate. We aim to propose new ideas across all layers of the technology stack to make error correction and the realization of fault-tolerant machines more feasible, efficient, and practical."

The Main Challenges of Quantum Computing

This five-year, US$37.50 million (approximately HK$292 million) research initiative brings together physicists, engineers, computer scientists, and chemists from Yale University and multiple partner institutions to tackle the biggest obstacle in quantum computing—error correction—and to pave the way for building reliable machines capable of meeting real-world application requirements. The team will launch a new program called the "NSF Quantum Leap Challenge Institute for Physics and Engineering of Practical Quantum Error Correction," or NSF

PRACTIQAL, which will serve as a cross-institutional collaborative center to advance related research.

The goal of NSF PRACTIQAL is to make progress in every aspect of quantum computers, covering physical qubits, control electronics, and algorithmic execution methods. Schoelkopf further explained, "In addition to physicists, we are also bringing in engineers and computer scientists to gain a deep understanding of the physical principles behind the devices and the error patterns they produce. We will then optimize error correction codes and algorithms to align with the characteristics of the hardware."

Exploring the Potential of Erasure Qubits

The NSF PRACTIQAL initiative will focus on two major challenges in the field of quantum computing. The first is to identify the key issues that have been hindering the scalability of error-corrected machines and to research methods to make quantum error correction more practical and efficient. The second is to explore the application potential of a special type of qubit known as "erasure qubits." According to the press release, these qubits, first proposed by members of the PRACTIQAL team, can precisely indicate where and when an error occurs, making the correction process more targeted.

The research team also pointed out that most of the current work in quantum error correction is still being conducted on small machines optimized for error correction. The goal of the PRACTIQAL team is to bridge the gap between small experimental setups and large-scale, error-corrected quantum computers. Michael Hatridge, associate professor of applied physics and co-director of PRACTIQAL, stated, "As an academic institution, we will not build a massive system ourselves, but we will validate various ideas and build a feasible path toward larger-scale systems."

This is why we are involving industry partners and have established an external advisory committee to help the team avoid conducting isolated experiments and to stay connected with the broader community.

The research team expects that by the end of this ambitious five-year project, they will be able to outline a clear path toward industrial-grade quantum computers with practical error correction capabilities. Hatridge concluded, "We are very excited about this. PRACTIQAL is large and complex, involving many interconnected components, but we are enthusiastic about undertaking this work."

Item	Details
Leading Institution	Yale University
Funding Agency	US National Science Foundation (NSF)
Project Name	NSF Quantum Leap Challenge Institute for Physics and Engineering of Practical Quantum Error Correction (NSF PRACTIQAL)
Funding Amount	US$37.50 million (approximately HK$292 million)
Project Duration	Five years
Director	Robert Schoelkopf (Sterling Professor of Applied Physics, Yale University)
Co-Director	Michael Hatridge (Associate Professor of Applied Physics, Yale University)
Participating Disciplines	Physics, Engineering, Computer Science, Chemistry
Core Research Areas	Physical Qubits, Control Electronics, Error Correction Codes, Algorithms
Two Main Challenges	Scalability of Error-Corrected Machines; Application Exploration of "Erasure Qubits"

New Opportunities for Quantum Computer Development

As quantum computing technology rapidly advances, error correction has become a key challenge in realizing practical quantum computers. Yale University's PRACTIQAL program, through interdisciplinary collaboration, aims to address this bottleneck and explore the application potential of new types of qubits. This initiative not only aids in advancing theoretical research in quantum computing but also may promote the commercialization of related technologies, holding profound implications for future technological development.