A team of researchers from NASA’s QuAIL (Quantum Artificial Intelligence Laboratory) has made significant advancements in quantum computing, which holds promise for solving complex problems in chemistry and materials science. Led by Dr. Eleanor Rieffel, the team has developed innovative algorithms and software tools to improve the performance of quantum computers.
One notable achievement is the development of HybridQ, a hybrid quantum simulator capable of simulating large-scale quantum circuits on various hardware platforms, including CPUs, GPUs, and TPUs. Using the same syntax, this simulator can run different types of simulations, including tensor contraction and direct evolution simulations.
The team has also created PySA, a suite of state-of-the-art classical optimization algorithms that can be used to improve the performance of quantum computers. These algorithms include parallel tempering and ergodic and non-ergodic isoenergetic cluster moves.
Key individuals involved in this work include Dr. Rieffel, Dr. Stuart Hadfield, Dr. Salvatore Mandrà, and Dr. Jeffrey Marshall. The team’s research has been published in various scientific journals, including Physical Review Applied and Advances in Parallel Computing.
These papers demonstrate the ongoing efforts to improve our understanding and application of quantum computing algorithms, particularly QAOA and quantum annealing.
The group lead is Eleanor Rieffel, and the team consists of researchers from various backgrounds, including M. Sohaib Alam, Namit Anand, Humberto Munoz Bauza, Lucas Brady, David Bernal Neira, Stephen Cotton, Zoe Gonzalez Izquierdo, Shon Grabbe, Erik Gustafson, Stuart Hadfield, Aaron Lott, Filip Maciejewski, Salvatore Mandrà, Jeffrey Marshall, Gianni Mossi, Jason Saied, Nishchay Suri, Davide Venturelli, and Zhihui Wang.
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