Matthew Bishara is a quantum algorithm developer specializing in energy sector
applications, participating in this challenge as part of the Square Peg Tech team.
applications, participating in this challenge as part of the Square Peg Tech team.
Background
- Four years at EDF Innovation Lab developing quantum solutions for California grid
optimization, including hydro unit commitment using variational circuits and quantum
annealing, and quantum simulation of locational marginal prices - Quantum algorithm development at Bohr Technology and ForeQast, working on
variational circuits, quantum machine learning, and benchmarking quantum solvers against
classical baselines - Additional work in EV load forecasting, grid topology inference, and AI-assisted research
tools
Technical Focus
- QAOA and D-Wave quantum annealing applied to unit commitment and optimal power flow
on North American grids - Quantum algorithms, machine learning, and classical optimization
Education
M.A. in Physics, University of Rochester. Trained in quantum technologies through the
Creative Destruction Lab accelerator.
Creative Destruction Lab accelerator.