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Previous Quantum School Highlights

Information about previous Quantum Computing Summer School Fellowships

Highlights from 2023 School

Invited speakers:

Giacomo Nannicini (University of Southern California), Vincent Elfving (Pasqal), Brajesh Gupt (Amazon), Kristan Temme (IBM), Zoe Holmes (EPFL), Lex Kemper (North Carolina State University), Mikhail Lukin (Harvard), Kunal Sharma (IBM)

Completed Projects

  • Classical surrogate simulation of quantum systems with LOWESA
  • Lie-algebraic classical simulations for variational quantum computing
  • A framework of partial error correction for intermediate-scale quantum computers
  • Limitations for Quantum Algorithms to Solve Turbulent and Chaotic Systems

Highlights from 2022 School

Invited speakers:

Tameem Albash (University of New Mexico), Piotr Czarnik (Jagiellonian University), David Gosset (University of Waterloo), Aram Harrow (MIT), Robert Huang (Caltech), Nathan Killoran (Xanadu), Jarrod McClean (Google), Peter Shor (MIT), Guillaume Verdon, Stephan Woerner (IBM Research)

Completed Projects

  • Resource frugal optimizer for quantum machine learning
  • On the practical usefulness of the Hardware Efficient Ansatz
  • Theoretical Guarantees for Permutation-Equivariant Quantum Neural Networks
  • Theory for Equivariant Quantum Neural Networks
  • Representation Theory for Geometric Quantum Machine Learning

Highlights from 2021 School

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)

Completed Projects

  • Subtleties in the trainability of quantum machine learning models
  • Theory of overparametrization in quantum neural networks
  • Entangled Datasets for Quantum Machine Learning
  • Can Error Mitigation Improve Trainability of Noisy Variational Quantum Algorithms?
  • Adaptive shot allocation for fast convergence in variational quantum algorithms
  • Unifying and benchmarking state-of-the-art quantum error mitigation techniques
  • Single-Qubit Cross Platform Comparison of Quantum Computing Hardware

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)

Completed Projects

  • Unified Approach to Data-driven Quantum Error Mitigation
  • Variational Quantum Algorithm for Estimating the Quantum Fisher Information
  • A Generalized Measure of Quantum Fisher Information
  • Correlation-Informed Permutation of Qubits for Reducing Ansatz Depth in VQE
  • Noise- Induced Barren Plateaus in Variational Quantum Algorithms
  • Absence of Barren Plateaus in Quantum Convolutional Neural Networks

Highlights from 2019 School

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)

Completed Projects

  • An Adaptive Optimizer for Measurement-Frugal Variational Algorithms
  • Variational Quantum Linear Solver: A Hybrid Algorithm for Linear Systems
  • Noise Resilience of Variational Quantum Compiling
  • The Quantum Alternating Operator Ansatz on Max-k Vertex Cover
  • Quantum Isomer Search
  • The Potential of Quantum Annealing for Rapid Solution Structure Identification

Highlights from 2018 School

Invited Speakers:

Sergio Boixo (Google), Alex Condello (D-Wave), Susan Coppersmith (Wisconsin), Ivan Deutsch (UNM), Jungsang Kim (IonQ / Duke), Daniel Lidar (USC), Doug McClure (IBM), Peter Shor (MIT), Matthias Troyer (Microsoft), Eleanor Rieffel (NASA), Will Zeng (Rigetti)

Completed Projects

  • Variational Quantum State Diagonalization
  • Quantum-Assisted Quantum Compiling
  • Variational Fast Forwarding for Quantum Simulation Beyond the Coherence Time