Pooya Ronagh
Biography
Dr. Ronagh’s research interests involve algorithmic aspects of quantum computation. He explores novel applications of quantum computation by designing and analysing quantum algorithms for solving computational challenges wherein the classical state of the art is costly machine learning and high-performance computing. The symbiotic relationship between classical and quantum computing is not only important in unlocking applications of quantum computers but also crucial in building them. Dr. Ronagh is therefore also interested in using optimization and control theory to improve the hybrid quantum-classical schemes used for quantum control, quantum error correction, and fault-tolerant quantum computation.
Research Interests
Quantum Science
Quantum Simulation
Quantum algorithms
Optimization and control
Machine learning
Reinforcement learning
Scholarly Research
Education
2016 PhD Mathematics, University of British Columbia, Vancouver, Canada
2011 MSc Mathematics, University of British Columbia, Vancouver, Canada
2009 BSc Mathematics, Sharif University of Technology, Tehran, Iran
2009 BSc Computer Science, Sharif University of Technology, Tehran, Iran
Awards
2009 Benjamin Franklin Fellowship, University of Pennsylvania
Affiliations and Volunteer Work
Research Assistant Professor, Institute for Quantum Computing
Scientific Lead, Perimeter Institute Quantum Intelligence Lab
Teaching*
- PHYS 449 - Machine Learning in Physics
- Taught in 2021, 2022, 2023
- PHYS 490 - Special topics in Physics
- Taught in 2020, 2021
* Only courses taught in the past 5 years are displayed.
Selected/Recent Publications
Finding the ground state of spin Hamiltonians with reinforcement learning. Nature Machine Intelligence. 2(9):509—517 (2020)
The inertia operator on the motivic Hall algebra. Compositio Mathematica. 155(3): 528—598 (2019)
Deep neural decoders for near term fault-tolerant experiments. Quantum Science and Technology. 3(4):044002 (2018)
Reinforcement learning using quantum Boltzmann machines. Quantum Information and Computation. 18(1-2):0051—0074 (2018)