Insider Brief
- Princeton University will lead MARQUIS, a new NSF Quantum Leap Challenge Institute receiving $27.9 million over five years to address manufacturing challenges in superconducting quantum processors.
- The institute will bring together researchers in materials science, quantum devices and semiconductor processing from nine institutions to develop new fabrication methods for superconducting qubit components.
- MARQUIS will also develop testing and validation methods for mid-scale quantum processors while building education and workforce programs in quantum science and engineering.
Press release – The U.S. National Science Foundation announced today that Princeton University will lead one of eight major initiatives to accelerate the development of quantum computing.
The Princeton-led Quantum Leap Challenge Institute will devise techniques for fabricating hardware and develop education and workforce training programs that deepen U.S. leadership in quantum science and engineering. The research institute will gather experts from wide-ranging fields to break a single, critical bottleneck — the manufacture of core components for quantum processors.
“The whole community has been using essentially the same materials technology for about a quarter century,” said Nathalie de Leon, a professor of electrical and computer engineering at Princeton and co-director of the Princeton Quantum Initiative, who will direct the new institute. That technology has worked well for experimental prototypes and small-scale systems. But to build quantum computers at a scientifically useful scale, she said, the most basic elements must be reinvented.
The Princeton-led institute will receive $27.9 million in NSF funding over five years, according to the agency. The research team harnesses expertise from three broad disciplines — materials science, quantum devices and semiconductor processing — spanning two dozen laboratories across nine research institutions.
“There’s a huge barrier to solving the problem,” said Valla Fatemi, a physicist at Cornell University and the institute’s deputy director. “That’s why we need an institute like this, with all this multi-interdisciplinary expertise to solve it.”
Participating institutions include Princeton, Cornell, the Massachusetts Institute of Technology, University of California at Santa Barbara, Stanford University, Dartmouth College, NY Creates, Michigan State University and the University of Iowa. The organizations represented on the advisory board include Google Quantum AI, NVIDIA, Applied Materials, Oxford Instruments, Bluefors, KU Leuven/Imec and MIT Lincoln Laboratory. The new institute will be titled MARQUIS: Manufacturable and Resilient superconducting Quantum Information Systems. It is one of eight announced Aug. 25 in a $290 million round of funding in the NSF’s Quantum Leap Challenge Institutes program.
“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. “It’s time for focused activities to leverage that base of knowledge to drive us even farther forward to the benefit of all Americans. The NSF Quantum Leap Challenge Institutes are a next step for us in understanding the quantum world we live in.”
In addition to reinventing the materials systems, the MARQUIS team will also develop methods to validate and compare the performance of various designs and to test them in mid-scale quantum processors — a step between the small systems typically developed in academic labs and the large processors that will one day run useful quantum algorithms.
These test beds will help standardize research efforts across disparate labs and allow experts from other fields to contribute meaningfully to the core challenge, according to the institute leaders. For example, semiconductor fabrication techniques that could prove valuable for quantum computing often involve highly specialized expertise that quantum researchers don’t have.
“In the semiconductor industry especially,” de Leon said, “a lot of the best knowledge is behind a curtain. And the literature is so vast, it’s hard for us to make sense of. So having a few key experts in the field who know what the right waypoints are and how to think about it is really crucial.”
David Graves, a Princeton professor of chemical and biological engineering and expert in the use of plasmas for semiconductor processing, serves as a co-principal investigator of the new institute.
De Leon’s own research has helped revolutionize component technologies for superconducting quantum devices through a collaboration with Andrew Houck, Princeton’s dean of engineering, and Robert Cava, a renowned solid-state chemist, as well as junior researchers from all three labs. Last year, that team published the largest advance in the field in more than a decade. The advance was based on re-imagining the materials used to build superconducting qubits, which store and process quantum information. Their qubits worked 15 times better than leading industry chips, and they have since made even more progress.
Those qubits are all based on a single circuit element called a Josephson junction. This junction consists of three metallic layers stacked like a sandwich, with a layer of oxidized metal in the middle that is only a few atoms thick. Pairs of linked electrons travel through the thin middle layer to create a system that can manipulate information using quantum mechanical rules. Virtually all of today’s qubits use junctions with aluminum and aluminum oxide, the same approach used in the first superconducting qubits more than twenty-five years ago. The new institute’s work will focus entirely on finding new approaches to fabricating the Josephson junction.
Nobel laureate Michel Devoret, who first demonstrated how these devices work, has called the decades-long effort to make better superconducting qubits a “graveyard” of ideas for aspiring physicists and engineers. He has also praised de Leon for taking on such a risky endeavor and making real progress. Devoret, a professor at UC Santa Barbara and chief scientist at Google Quantum AI, is one of the new institute’s senior investigators.
“We can see that the materials limitations are going to be one of the next big bottlenecks,” de Leon said. A large research institute creates mechanisms to coordinate the activities of lots of different people, she said. Her idea: Gather that firepower and aim it at one of the oldest obstacles in quantum computing.
“Let’s make a dream team,” de Leon said, “to try to unblock this.”
Facts Only
* Princeton University will lead MARQUIS, a new NSF Quantum Leap Challenge Institute.
* The institute will receive $27.9 million in NSF funding over five years.
* The goal is to address manufacturing challenges in superconducting quantum processors.
* The institute will bring together researchers in materials science, quantum devices, and semiconductor processing from nine institutions.
* The institute will develop new fabrication methods for superconducting qubit components.
* MARQUIS will also develop testing and validation methods for mid-scale quantum processors.
* MARQUIS will build education and workforce programs in quantum science and engineering.
* Participating institutions include Princeton, Cornell, MIT, UC Santa Barbara, Stanford, Dartmouth, NY Creates, Michigan State University, and the University of Iowa.
* The institute will be titled MARQUIS: Manufacturable and Resilient superconducting Quantum Information Systems.
* The research team will harness expertise from three broad disciplines across two dozen laboratories.
Executive Summary
Princeton University will lead the MARQUIS Quantum Leap Challenge Institute, which will receive $27.9 million over five years from the NSF to address manufacturing challenges in superconducting quantum processors. The institute will bring together researchers from nine institutions across materials science, quantum devices, and semiconductor processing to develop new fabrication methods for superconducting qubit components. MARQUIS will also focus on developing testing and validation methods for mid-scale quantum processors, alongside building education and workforce programs in quantum science and engineering.
The initiative seeks to address a critical bottleneck in quantum computing by reinventing the materials technology used to create core components. The project involves gathering multi-disciplinary expertise from institutions including Princeton, Cornell, MIT, and others, with advisory board members from companies like Google Quantum AI and NVIDIA. Researchers aim to develop fabrication techniques, testing methods, and educational programs to advance the field.
Full Take
The initiative highlights a tension between established experimental physics and the industrial reality of scalable manufacturing, suggesting that theoretical breakthroughs alone are insufficient for realizing quantum computing at scale. The focus on reinventing Josephson junction fabrication suggests a recognized systemic bottleneck where advances in theoretical physics are constrained by the limitations of existing materials science infrastructure—a barrier compounded by what researchers describe as knowledge being "behind a curtain." The assembly of expertise across disparate fields (materials science, semiconductor processing) underscores the recognition that solving this problem requires moving beyond traditional disciplinary silos.
The structure attempts to bridge fundamental discovery with applied engineering and workforce development. However, the emphasis on creating test beds for mid-scale processors suggests an awareness of the need for standardized validation protocols—moving from laboratory prototypes to industrially relevant systems. The integration of industry advisory boards (Google Quantum AI, NVIDIA) implies a recognition that true advancement requires collaboration beyond academic walls to navigate existing industrial knowledge and accelerate practical bottlenecks. The implicit pattern is that progress in foundational science often stalls at the interface between theoretical possibility and physical realization, necessitating multi-disciplinary interventions supported by significant resources.
What are the long-term consequences of prioritizing the reinvention of fundamental materials over incremental refinement? If this approach successfully unblocks fabrication limits, what mechanisms will be established to ensure that subsequent technological leaps maintain the necessary cross-disciplinary focus, or does the inherent complexity risk creating new coordination failures? How does the involvement of industry leaders influence the direction of basic scientific inquiry, and who bears the responsibility for translating these advanced, interdisciplinary results into accessible workforce training and standardized testing methodologies?
Sentinel — Human
The text reads like a detailed journalistic report synthesizing an official announcement with expert commentary, indicating human authorship rather than synthetic generation.
