An Industry-Academia Partnership for Advancing Quantum Frontiers: Perspective from the U.S. Center for Quantum Technologies
- URL: http://arxiv.org/abs/2510.13365v1
- Date: Wed, 15 Oct 2025 09:55:45 GMT
- Title: An Industry-Academia Partnership for Advancing Quantum Frontiers: Perspective from the U.S. Center for Quantum Technologies
- Abstract summary: The U.S. Center for Quantum Technologies (CQT) is a multi-university consortium established under the National Science Foundation's (NSF) Industry-University Cooperative Research Centers (IUCRC) program.<n>CQT integrates academic research with industrial and governmental collaboration to accelerate quantum innovation.
- Score: 0.0
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: The U.S. Center for Quantum Technologies (CQT) is a multi-university consortium established under the National Science Foundation's (NSF) Industry-University Cooperative Research Centers (IUCRC) program. Led jointly by Purdue University, Indiana University (both Bloomington and Indianapolis campuses), and the University of Notre Dame, CQT integrates academic research with industrial and governmental collaboration to accelerate quantum innovation. This perspective outlines the consortium's strategic mission, interdisciplinary research agenda, and its role in shaping the future of quantum-enabled technologies through collaborative development, translational impact, and workforce cultivation.
Related papers
- QuantumX: an experience for the consolidation of Quantum Computing and Quantum Software Engineering as an emerging discipline [25.594683884792975]
The first edition of the QuantumX track, held within the XXIX Jornadas de Ingeniera del Software y Bases de Datos (JISBD 2025), brought together leading Spanish research groups.<n>The event served as a pioneering forum to explore how principles of software quality, governance, testing, orchestration, and abstraction can be adapted to the quantum paradigm.
arXiv Detail & Related papers (2026-03-11T10:33:14Z) - Quantum-enhanced Computer Vision: Going Beyond Classical Algorithms [50.573955644831386]
Quantum-enhanced Computer Vision (QeCV) is a new research field at the intersection of computer vision, machine learning and quantum computing.<n>It has high potential to transform how visual signals are processed and interpreted with the help of quantum computing.<n>This survey contributes to the existing literature on QeCV with a holistic review of this research field.
arXiv Detail & Related papers (2025-10-08T17:59:51Z) - Quantum Entrepreneurship Lab: Training a Future Workforce for the Quantum Industry [1.8813829524752914]
Quantum Entrepreneurship Lab (QEL) is a one-semester, project-based course at the Technical University of Munich (TUM)<n>QEL aims to bridge the gap between academic research and industrial application in the quantum sector.
arXiv Detail & Related papers (2025-05-07T18:00:03Z) - The USRA Feynman Quantum Academy: If You Give a Student a Quantum Internship [1.960466708753349]
We review the trajectory of the USRA Feynman Quantum Academy Internship Program over the last 8 years.<n>We place it in the context of the current push to prepare the quantum workforce of the future.
arXiv Detail & Related papers (2025-05-05T02:18:48Z) - A Survey of Quantum Transformers: Architectures, Challenges and Outlooks [82.4736481748099]
Quantum Transformers integrate the representational power of classical Transformers with the computational advantages of quantum computing.<n>Since 2022, research in this area has rapidly expanded, giving rise to diverse technical paradigms and early applications.<n>This paper presents the first comprehensive, systematic, and in-depth survey of quantum Transformer models.
arXiv Detail & Related papers (2025-04-04T05:40:18Z) - Quantum Machine Learning: An Interplay Between Quantum Computing and Machine Learning [54.80832749095356]
Quantum machine learning (QML) is a rapidly growing field that combines quantum computing principles with traditional machine learning.
This paper introduces quantum computing for the machine learning paradigm, where variational quantum circuits are used to develop QML architectures.
arXiv Detail & Related papers (2024-11-14T12:27:50Z) - Investing in the Quantum Future : State of Play and Way Forward for
Quantum Venture Capital [0.0]
The paper introduces concepts to support the emergence of new startups and advocates for funding of scale-up quantum companies.
The paper concludes with proposals to improve the impact of the industry by taking steps to better involve society-at-large.
arXiv Detail & Related papers (2023-11-28T19:31:51Z) - Towards Quantum Federated Learning [80.1976558772771]
Quantum Federated Learning aims to enhance privacy, security, and efficiency in the learning process.
We aim to provide a comprehensive understanding of the principles, techniques, and emerging applications of QFL.
As the field of QFL continues to progress, we can anticipate further breakthroughs and applications across various industries.
arXiv Detail & Related papers (2023-06-16T15:40:21Z) - A Universal Quantum Technology Education Program [0.5249805590164901]
We propose a novel universal quantum technology master's curriculum which comprises a balance between quantum hardware and software skills.
The proposed curriculum holds the potential to revolutionize the quantum education ecosystem by reducing the pressure of hiring PhDs faced by startups.
arXiv Detail & Related papers (2023-05-25T11:57:14Z) - Contributions from Pilot Projects in Quantum Technology Education as
Support Action to Quantum Flagship [0.0]
The goal of QTEdu is to pave the way for the training of the future quantum workforce.
New university courses need to be established to support emerging specific profiles such as a quantum engineer.
arXiv Detail & Related papers (2023-03-13T12:24:19Z) - Accelerating Progress Towards Practical Quantum Advantage: The Quantum
Technology Demonstration Project Roadmap [1.0715825678242772]
Quantum information science and technology (QIST) is a critical and emerging technology with the potential for enormous world impact.
We present a roadmap for Quantum Technology Demonstration Projects (QTDPs)
arXiv Detail & Related papers (2022-10-26T14:38:47Z) - Physics-Informed Quantum Communication Networks: A Vision Towards the
Quantum Internet [79.8886946157912]
We present a novel analysis of the performance of quantum communication networks (QCNs) in a physics-informed manner.
The need of the physics-informed approach is then assessed and its fundamental role in designing practical QCNs is analyzed.
We identify novel physics-informed performance metrics and controls that enable QCNs to leverage the state-of-the-art advancements in quantum technologies.
arXiv Detail & Related papers (2022-04-20T05:32:16Z) - Standard Model Physics and the Digital Quantum Revolution: Thoughts
about the Interface [68.8204255655161]
Advances in isolating, controlling and entangling quantum systems are transforming what was once a curious feature of quantum mechanics into a vehicle for disruptive scientific and technological progress.
From the perspective of three domain science theorists, this article compiles thoughts about the interface on entanglement, complexity, and quantum simulation.
arXiv Detail & Related papers (2021-07-10T06:12:06Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.