2 citations · 2 across the 1 of their papers we have counts for
4 papers
Quantum Approximate Optimization for Hard Problems in Linear Algebra
Ajinkya Borle, Vincent E. Elfving, Samuel J. Lomonaco
The Quantum Approximate Optimization Algorithm (QAOA) by Farhi et al. is a quantum computational framework for solving quantum or classical optimization tasks. Here, we explore usi…
On Post-Processing the Results of Quantum Optimizers
Ajinkya Borle, Josh McCarter
The use of quantum computing for applications involving optimization has been regarded as one of the areas it may prove to be advantageous (against classical computation). To furth…
Bayesian Networks based Hybrid Quantum-Classical Machine Learning Approach to Elucidate Gene Regulatory Pathways
Radhakrishnan Balu, Ajinkya Borle
We report a scalable hybrid quantum-classical machine learning framework to build Bayesian networks (BN) that captures the conditional dependence and causal relationships of random…
Analyzing the Quantum Annealing Approach for Solving Linear Least Squares Problems
Ajinkya Borle, Samuel J. Lomonaco
With the advent of quantum computers, researchers are exploring if quantum mechanics can be leveraged to solve important problems in ways that may provide advantages not possible w…