SenSIP Hosts Amazon Braket Training Event After Securing Nearly $78,000 in AWS Credits
Updated
Updated · ASU News Now · Jul 15
SenSIP Hosts Amazon Braket Training Event After Securing Nearly $78,000 in AWS Credits
1 articles · Updated · ASU News Now · Jul 15
Summary
A June 23 Amazon Braket training and exposition at Arizona State University brought together students, faculty and industry participants to present quantum-computing research and learn to run workloads on real quantum hardware.
Nearly $78,000 in donated AWS credits expanded SenSIP’s access to Amazon Braket, letting researchers move projects from simulation to execution while testing quantum noise and mitigation techniques.
Student projects included quantum machine-learning work on cancer detection, image processing and credit-card fraud detection, with participants saying the event clarified how to deploy research through Braket.
Educators from ASU Prep and South Mountain Community College also used the program to explore how AI, machine learning and quantum concepts can be brought into classrooms and STEM pathways.
AWS said SenSIP is among the few U.S. university programs putting students on real quantum hardware, tying academic research to industry demand through consortium links with companies including Qualcomm, Raytheon, NXP and Alphacore.
Beyond elite partnerships, how can the U.S. scale hands-on quantum education to meet urgent national workforce demands?
With quantum AI improving cancer detection, what are the key hurdles before its real-world clinical application?
Accelerating Quantum Research and Workforce Development at ASU: Impact of AWS Credit Donation and Amazon Braket Training (15% Route Efficiency, 10% Faster Drug Discovery)
Overview
On June 17, 2026, Arizona State University hosted an Amazon Braket training and exposition that brought together over 150 participants, including students, researchers, faculty, industry, and government representatives. The event began with hands-on workshops led by AWS quantum experts, where attendees practiced quantum circuit design, algorithm implementation, and quantum machine learning. This practical training gave participants valuable skills and a deeper understanding of using cloud-based quantum services for their projects. The exposition also showcased ASU’s cutting-edge quantum research, all made possible by leveraging the AWS credit donation.