Feynman Quantum Academy Internship at NASA Ames Research center (Paid)
An experience in the USRA-NASA-Google Quantum Artificial Intelligence Laboratory (QuAIL) at NASA Ames Research Center's Advanced Supercomputing Facility introduces graduate students to scientific opportunities in quantum information sciences and trains them to do research related to the most advanced quantum computing platforms. Students will receive valuable experience working on teams, undertaking projects in advanced computing, and developing quantum and classical methods to solve problems in important application or fundamental domains. The program is funded by NASA, Air Force Research Laboratory (AFRL), Universities Space Research Association (USRA) and National Science Foundation (NSF).
Students, which need to be enrolled in a Ph.D. program or have otherwise previous quantum computing research experience, are accepted to a 12-to-24 week program. Applications are open all year round. These students work in close collaboration with quantum scientists, receiving hands-on training, and undertake individualized research projects. Students will also participate in seminars and workshops with researchers from other organizations doing quantum research, including those from academic institutions, government laboratories, and commercial organizations. Participants receive a stipend to cover living expenses and travel during the program.
Please indicate on your resume and cover letter which program and position you are applying to. For the NAMS program, only US citizens and Lawful Permanent Residents will be accepted.
Two program opportunities:
NASA Academic Mission Services (NAMS) Program:
1) Project Title: Noise investigation of annealing protocol for Fermi-Hubbard models
Description: This project focuses on noise modeling of potential future generation of annealing hardware that is tailored for simulation of Fermi-Hubbard models. The investigation will take into account both coherent and dissipative effects. Therefore, good understanding of adiabatic master equation and open quantum systems is a necessary prerequisite. We will analyze different fermion-to-qubit encodings and their robustness against noise. In particular, how noise affects leakage to non-logical states in low-weight encoding. How to mitigate these effects, in order to improve probability of finding the ground state.
- Enrolled as a PhD student in Physics, Mathematics, Chemistry or Computer Science,
- Practical experience with adiabatic master equation,
- Deep understanding of quantum dynamics (in particular open quantum systems) and quantum information
- Strong programming skills (preferred Python).
Research Institute for Advanced Computer Science (RIACS) Program:
2) Project Title: Software Development Intern
Description: The intern will aid in full-stack software development of USRA Research Institute for Advanced Computer Science (RIACS) websites, including the Quantum and RIACS websites. Tasks will include frontend (UI) changes, backend changes, and database, as needed for each project. The student will modify existing websites to extend and improve the interface and infrastructure. Projects include but not limited to compiling monthly newsletters, improving current website design, and updating website infrastructure from MURA to Laravel.
Additionally, websites use scripts to automatically generate monthly newsletters and publications. The intern will help develop software that aims to streamline newsletter generation process. The intern will write technical documentation for the software developed and present the results to the group. The intern will work under the guidance of RIACS software engineer and the RIACS Program Management Office. The intern will gain experience with full-stack software development, scripting, and technical documentation. Potential to transition to full time role in the summer.
Desired Skill Set:
- Ability to learn and work with new technologies such as Amazon Web Services (AWS), command-line tool, git, and Linux.
- Familiarity with Jupyter Notebook and Kubernetes
- UI skills in HTML and CSS
- Written and oral communication to technical and non-technical audience
- Ability to solve open-ended problems