98 citations · 237 across the 9 of their papers we have counts for
4 papers · 1 filter
Multifidelity Reinforcement Learning with Control Variates
Sami Khairy, Prasanna Balaprakash
In many computational science and engineering applications, the output of a system of interest corresponding to a given input can be queried at different levels of fidelity with di…
A Gradient-Aware Search Algorithm for Constrained Markov Decision Processes
Sami Khairy, Prasanna Balaprakash, Lin X. Cai
The canonical solution methodology for finite constrained Markov decision processes (CMDPs), where the objective is to maximize the expected infinite-horizon discounted rewards sub…
Learning to Optimize Variational Quantum Circuits to Solve Combinatorial Problems
Sami Khairy, Ruslan Shaydulin, Lukasz Cincio +2
Quantum computing is a computational paradigm with the potential to outperform classical methods for a variety of problems. Proposed recently, the Quantum Approximate Optimization…
Reinforcement-Learning-Based Variational Quantum Circuits Optimization for Combinatorial Problems
Sami Khairy, Ruslan Shaydulin, Lukasz Cincio +2
Quantum computing exploits basic quantum phenomena such as state superposition and entanglement to perform computations. The Quantum Approximate Optimization Algorithm (QAOA) is ar…