Quantum Computing

Feynman Quantum Academy

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, AFRL, USRA and 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, finally resulting in a publication. 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.

Applications for Spring and Summer 2020 are now open. Please inquire at dventurelli@usra.edu sending your CV and a motivation letter. Applications received before March 10 will receive full consideration until all spots are taken (apply as soon as possible!).

Potential topics (not exhaustive list):

Quantum Optimization and Sampling Algorithms (e.g. QAOA/VQE/AQC)
Benchmarking NISQ Computers
Compilation/Embedding of Quantum Algorithms
Quantum error-mitigation and correction methods
Quantum Algorithms for Materials and Chemistry
Numerical Simulation of Quantum Systems
Noise Modeling and Open Quantum Systems
Physics of Coherent Optical Ising Machines
Quantum Complexity Theory
(Quantum) Machine Learning applied to Quantum Computing

Current Quantum Academy Participants:

Tommaso Parolini, SISSA
Vladimir Kremenetski, Berkeley University

Former Quantum Academy Participants:

2019:

Elisabeth Lobe, University Magdeburg
Ryan LaRose, Michigan State University (now at X)
Sathyawageeswar Subramanian, University of Cambridge
Michael Streif, Freiburg University
Andrea Skolik, Technical University Munich
David Bernal, Carnegie Mellon University - paper
Lindsay Bassman, University Southern California
Zoe Gonzalez Izquierdo, University Southern California
Minsung Kim, Princeton University
Rachel Stromswold, Binghamton University (now at USRA) - paper

2018:

Jeffrey Marshall, University Southern California (now at USRA) - paper
Benjamin Villalonga, University of Illinois Urbana Champaign (now at Google) - paper
Sasha Nanda, Caltech (now at X) - paper
Aniruddha Bapat, University of Maryland (now at Microsoft)
Riccardo Mengoni, University of Verona
Zhenyi Qi, University of Winsconsin Madison

2016-2017:

David Roberts, Harvard University (now at University of Chicago) - paper
Stuart Hadfield, Columbia University (now at USRA) - paper
Bibek Pokharel, Univeristy Southern California