The Potential of Quantum Annealing for Rapid Solution Structure Identification.The Quantum Alternating Operator Ansatz on Max-k Vertex Cover.Noise Resilience of Variational Quantum Compiling.Variational Quantum Linear Solver: A Hybrid Algorithm for Linear Systems.An Adaptive Optimizer for Measurement-Frugal Variational Algorithms.Invited Speakers: Scott Aaronson (UT Austin), Fernando Brandao (CalTech), Elizabeth Crosson (U New Mexico), Christopher Granade (Microsoft Research), Travis Humble (ORNL), John Martinis (Google), Margaret Martonosi (Princeton U), Jarrod McClean (Google), Seth Merkel (IBM), Chris Monroe (U Maryland), Alejandro Perdomo-Ortiz (Zapata Computing), Mauricio Reis (D-Wave), Will Zeng (Stanford U) Finished Projects: Highlights from 2020 School Invited speakers: Tameem Albash (U New Mexico), Juan Miguel Arrazola (Xanadu), Robin Blume-Kohout (Sandia), Thomas Bromley (Xanadu), Elizabeth Crosson (U New Mexico), Bill Fefferman (U Chicago), Jay Gambetta (IBM), Sonika Johri (IonQ), Mikhail Lukin (Harvard), Eleanor Rieffel (NASA), Maria Schuld (Xanadu), Graeme Smith (U Colorado), Wim van Dam (UCSB / QCWare), Nathan Wiebe (U Toronto) Finished Projects:Ībsence of Barren Plateaus in Quantum Convolutional Neural Networks Single-Qubit Cross Platform Comparison of Quantum Computing Hardware.Unifying and benchmarking state-of-the-art quantum error mitigation techniques.Adaptive shot allocation for fast convergence in variational quantum algorithms.Can Error Mitigation Improve Trainability of Noisy Variational Quantum Algorithms?.Entangled Datasets for Quantum Machine Learning.Theory of overparametrization in quantum neural networks.Subtleties in the trainability of quantum machine learning models.Invited speakers: Tameem Albash (University of New Mexico), Andrew Childs (University of Maryland), Elizabeth Crosson (University of New Mexico), Jens Eisert (Free University of Berlin), David Gosset (University of Waterloo), Shelby Kimmel (Middlebury College), Raymond Laflamme (Institute for Quantum Computing), Pavel Lougovski (Amazon Web Services), Mohan Sarovar (Sandia), Kristan Temme (IBM) Finished Projects:
The fellowship value ranges from $7,500 to $13,000, based on academic rank (junior, senior, 1st year graduate student, etc.).Īpplications for 2022 are open until January 17th, 2022. Roughly twenty students (with the precise number determined based on the applicant pool) will be awarded a fellowship from LANL for the summer school. Summer school fellowship recipients will be exposed to the theoretical foundations of quantum computation and will become skilled at programming commercial quantum computers, such as those developed by D-Wave Systems, Rigetti, and IBM. The Quantum Computing Summer School is an immersive 10-week curriculum that includes tutorials from world-leading experts in quantum computation as well as one-on-one mentoring from LANL staff scientists who are conducting cutting-edge quantum computing research.
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