papers
Publications (8)
math.OC2017
A Subgradient Approach for Constrained Binary Optimization via Quantum Adiabatic Evolution
Sahar Karimi, Pooya Ronagh
cs.LG2017
Free energy-based reinforcement learning using a quantum processor
Anna Levit, Daniel Crawford, Navid Ghadermarzy +3
math.AG2016
The inertia operator on the motivic Hall algebra
Kai Behrend, Pooya Ronagh
quant-ph2018
Deep neural decoders for near term fault-tolerant experiments
Christopher Chamberland, Pooya Ronagh
math.OC2018
Solving constrained quadratic binary problems via quantum adiabatic evolution
Pooya Ronagh, Brad Woods, Ehsan Iranmanesh
quant-ph2019
Reinforcement Learning Using Quantum Boltzmann Machines
Daniel Crawford, Anna Levit, Navid Ghadermarzy +2
math.AG2016
The Eigenvalue Spectrum of the Inertia Operator
Kai Behrend, Pooya Ronagh
quant-ph2017
Practical Integer-to-Binary Mapping for Quantum Annealers
Sahar Karimi, Pooya Ronagh