AWS Public Sector Blog

Democratizing quantum resources: University of Michigan and AWS collaborate on a remote access quantum testbed

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The University of Michigan is breaking new ground in quantum technology accessibility through an innovative collaboration with Amazon Web Services (AWS). Led by Dr. Zheshen Zhang, this partnership aims to transform the university’s QREAL (Quantum Receiver Enhanced by Adaptive Learning) platform funded by the National Science Foundation into a cloud-accessible quantum testbed.

“The quantum community faces a significant challenge—all quantum resources are spread out and fragmented,” explained Dr. Zhang. “Research groups developing quantum computer units, quantum interconnects, transduction sensors are scattered globally. Advancing quantum information science and technology requires a unified framework capable of connecting these different functionalities.”

The solution uses AWS serverless technology, including AWS Fargate for container orchestration, AWS Lambda for serverless computing, and Amazon Relational Database Service (Amazon RDS) for database management. Through these AWS cloud services, users can remotely send instructions to configure, connect, and route information between different quantum hardware components.

Transforming quantum education

The project addresses two critical challenges in quantum education. First, it helps students grasp counterintuitive quantum concepts through interactive demonstrations using real experimental data. “Unlike traditional disciplines, quantum concepts like superposition and entanglement are highly counterintuitive,” noted Dr. Zhang. “Our demos visualize these concepts using pre-processed data from actual quantum experiments.”

Second, it bridges the gap between theory and practice. Traditional quantum education focuses heavily on theoretical concepts, often disconnected from experimental reality. The testbed’s virtual labs give students hands-on experience with physical quantum systems from anywhere.

Accelerating research through unified access

The testbed addresses a fundamental challenge in quantum research by creating a fabless model for the quantum industry. “Think of the semiconductor industry,” explains Dr. Zhang. “Companies like NVIDIA and AMD don’t run their own foundry facilities—they outsource manufacturing to commercial foundries. We want to develop something similar for the quantum industry.”

This approach enables researchers from diverse backgrounds to advance quantum innovation:

  • Computer scientists can access physical quantum hardware instead of relying solely on simulations, as demonstrated by Dr. Jianqing Liu’s team at North Carolina State University using the testbed to study quantum quality of service (QOS) for entanglement routing.
  • Quantum physicists can develop new sensing modules by configuring connections between different devices, such as entangled-light sources and AI processing units.
  • Engineers can prototype and validate fundamental functionalities before transitioning to larger-scale integration and packaging with industrial partners.

The testbed collects and assembles data in a unified library, which is then disseminated to the broader research community. This collaborative approach helps break down barriers between different disciplines—physics, computer science, electrical engineering, materials science, and chemistry—all crucial for advancing quantum technology.

Future developments

Looking ahead, the project will expand to include new quantum resources, such as squeeze-light sources—technology similar to what’s used in LIGO gravitational wave detectors. The platform will also fully integrate with AWS Braket, a fully managed quantum computing service, providing users access to various quantum technologies from multiple vendors, including circuit simulators and different types of quantum processing units (QPUs).

“We’re not just adding stand-alone quantum modules,” said Dr. Zhang. “We’re standardizing them so each new module can inherently connect with existing ones in the testbed, creating an interoperable and expandable system.”

The collaboration with AWS is strategic for its global reach and robust infrastructure. “AWS cloud offers unparalleled capabilities for worldwide access, data management, and security—essential functionalities for a sustainable testbed facility,” Dr. Zhang emphasized.

As quantum technology continues to evolve rapidly, this partnership creates a foundation for democratizing access to quantum computing, simulation, sensing, and networking resources and accelerating innovation in this crucial field.

Check-out the Remote Access Quantum Testbed.

Figure 1: Photo of the testbed group. From left to right: Kailu Zhou, Leo Li, Visuttha Manthamkarn, and Zheshen Zhang

Chris Edwards

Chris Edwards

Chris serves as an enterprise account executive at AWS, partnering with higher education institutions across Michigan, Ohio, and Kentucky. Prior to AWS, he held various roles at Anthology spanning customer success, sales leadership, and product management. Drawing from his experience as assistant vice president for eLearning at the University of Cincinnati, Chris combines deep higher education expertise with technical knowledge. He holds a Master's in Information Systems from the University of Cincinnati and a Bachelor's from Purdue University.

Guangyi (Leo) Li

Guangyi (Leo) Li

Guangyi (Leo) is an undergraduate student in the College of Engineering at the University of Michigan, where he majors in computer science. He is currently developing a website for the “Quantum Enhanced Receiver by Adaptive Learning” project, which supports experimental work in the Quantum Engineering Lab. Guangyi’s academic interests include quantum computing and its applications in next-generation information systems.

Kailu Zhou

Kailu Zhou

Kailu is a PhD student in electrical and computer engineering. He received a B. Eng in Information engineering from Shanghai Jiao Tong University. His research primarily involves quantum-enhanced communication and information processing. He is also interested in soliton microcomb and comb-based applications.

Rifkhan Anoor

Rifkhan Anoor

Rifkhan is a solutions architect at AWS, specializing in helping R1 higher education institutions and research teams architect scalable cloud solutions. With a primary focus on AI/ML and container-based workloads, Rifkhan brings 25 years of enterprise technology experience across diverse platforms. Throughout his career, he has consulted with numerous Fortune 500 companies, helping them navigate their digital transformation journeys. Rifkhan holds a BSc (1st class Honors) in computing from the University of Staffordshire, UK.

Visuttha Manthamkarn

Visuttha Manthamkarn

Visuttha is a PhD student in the Department of Electrical Engineering and Computer Science at the University of Michigan. He received a B. Eng. in electrical engineering from Kasetsart University. His research primarily involves quantum networks and machine learning. He is interested in developing a virtual quantum network, aiming to seamlessly integrate quantum technology capabilities into practical, real-world applications.

Dr. Zheshen Zhang

Dr. Zheshen Zhang

Dr. Zhang is an associate professor of electrical and computer engineering in the Department of Electrical Engineering and Computer Science. Dr. Zhang received a PhD degree from Georgia Tech in 2011 and a BS degree from Shanghai Jiao Tong University in 2006. Prior to joining Michigan as an associate professor in 2022, he was an assistant professor at the University of Arizona (2017-2022), a research scientist at MIT (2015-2017), and a postdoctoral associate at MIT (2012-2015). Dr. Zhang’s research encompasses a broad swath of the experimental and theoretical aspects of quantum networks, quantum communications, quantum sensing, and quantum computing. Dr. Zhang received an NSF CAREER Award for his work on quantum machine learning and the Ernest and Bettine Kuh Distinguished Faculty Award. He is currently an editorial board member of Progress in Quantum Electronics, Elsevier.