Research quantum algorithms and test quantum computers
Quantum computing is an interdisciplinary area of research combining quantum physics and computer science. Research in quantum computing studies the physical limits of information processing and is breaking new ground in fundamental physics. This research leads to advances in many fields of science and industry, such as chemistry, optimization, and molecular simulation.
The Amazon Braket quantum computing service enables researchers at universities and national labs to perform experimentation with different quantum hardware technologies in one place, including superconducting, trapped ions, neutral-atom, and photonic quantum computers. With Amazon Braket, scientists can test and compare different quantum computers, explore hybrid quantum-classical, quantum machine learning and variational algorithms, and develop error correction strategies for Noisy Intermediate-Scale Quantum (NISQ) hardware.
To get started with academic research on Amazon Braket before securing grants, you can request support through the AWS Cloud Credit for Research program.
With Amazon Braket and its software development kit (SDK), you have the flexibility to pursue your quantum research projects – without negotiating hardware access agreements or setting up your own infrastructure. For development and testing, you can use managed Jupyter notebooks or local tools such as Conda, apply local or fully managed circuit simulators with or without noise models, and run algorithms on quantum computers.
Start with funded credits
If you need to start academic quantum computing research with Amazon Braket before seeking grants, consider the AWS Cloud Credit for Research program. Additionally, if you represent an organization with many researchers or multiple groups, contact us to discuss a collaboration agreement to enable your teams to advance their research with AWS.
Try different quantum technologies
Amazon Braket enables you to work with different quantum computers and circuit simulators. It is also tightly integrated with the open source PennyLane library for differentiable programming for quantum machine learning and variational algorithms. From the Amazon Braket SDK and PennyLane, you can easily switch and compare quantum back ends, and explore various noise models.
Get started with AWS credits for research
The AWS Cloud Credit for Research Program supports researchers who seek to use Amazon Braket as part of their quantum computing work. The program also supports efforts to
- Build cloud-hosted public science-as-a-service applications, software, or tools to facilitate future research and research from the science community,
- Perform proof-of-concept or benchmark tests evaluating the efficacy of moving research workloads or open data sets to the cloud, and
- Train a broader community on the use of cloud for research workloads via workshops or tutorials.
Researchers who are full-time faculty, full-time research staff, and enrolled graduate, post-graduate, or PhD students at accredited research institutions are eligible to apply for AWS Cloud Credit for Research program.
Note, for the application form, you can estimate your Amazon Braket usage costs using the AWS Pricing Calculator. Also, to help expedite your request, please email the AWS Quantum Computing specialist team so they may assist you.
Hundreds of principal investigators and teams from research organizations have worked with Amazon Braket. These include groups funded through the National Science Foundation, as well as India’s Ministry of Electronics and Information Technology (MeitY), the Italian National Institute for Nuclear Physics (INFN), CINECA, the Weizmann Institute of Science, the Technion Israel Institute of Technology, Bar-Ilan University, and the Hebrew University of Jerusalem, Osaka University, and many others.
Ready to get started?
Learn more about the AWS Cloud Credit for Research program for academic research on AWS.
Check out the Amazon Braket tutorials and example notebooks on Github
Instantly get access to the AWS Free Tier, with 1 free hour of simulation time per month for a year.