12 citations · 32 across the 8 of their papers we have counts for
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quant-ph2020
Multi-Qubit Correction for Quantum Annealers
Ramin Ayanzadeh, John Dorband, Milton Halem +1
We present \emph{multi-qubit correction} (MQC) as a novel postprocessing method for quantum annealers that views the evolution in an open-system as a Gibbs sampler and reduces a se…
quant-ph2020
A Hybrid Quantum enabled RBM Advantage: Convolutional Autoencoders For Quantum Image Compression and Generative Learning
Jennifer Sleeman, John Dorband, Milton Halem
Understanding how the D-Wave quantum computer could be used for machine learning problems is of growing interest. Our work evaluates the feasibility of using the D-Wave as a sample…