6 citations · 9 across the 5 of their papers we have counts for
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cs.ET2019
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…
cs.LG2019★ 2 cited
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…