142 citations · 284 across the 19 of their papers we have counts for
7 papers · 1 filter
Quantum Discriminator for Binary Classification
Prasanna Date, Wyatt Smith
Quantum computers have the unique ability to operate relatively quickly in high-dimensional spaces -- this is sought to give them a competitive advantage over classical computers.…
Training Deep Neural Networks with Constrained Learning Parameters
Prasanna Date, Christopher D. Carothers, John E. Mitchell +2
Today's deep learning models are primarily trained on CPUs and GPUs. Although these models tend to have low error, they consume high power and utilize large amount of memory owing…
Adiabatic Quantum Optimization Fails to Solve the Knapsack Problem
Lauren Pusey-Nazzaro, Prasanna Date
In this work, we attempt to solve the integer-weight knapsack problem using the D-Wave 2000Q adiabatic quantum computer. The knapsack problem is a well-known NP-complete problem in…
Balanced k-Means Clustering on an Adiabatic Quantum Computer
Davis Arthur, Prasanna Date
Adiabatic quantum computers are a promising platform for approximately solving challenging optimization problems. We present a quantum approach to solving the balanced -means cl…
QUBO Formulations for Training Machine Learning Models
Prasanna Date, Davis Arthur, Lauren Pusey-Nazzaro
Training machine learning models on classical computers is usually a time and compute intensive process. With Moore's law coming to an end and ever increasing demand for large-scal…
Adiabatic Quantum Linear Regression
Prasanna Date, Thomas Potok
A major challenge in machine learning is the computational expense of training these models. Model training can be viewed as a form of optimization used to fit a machine learning m…
Hyperparameter Optimization in Binary Communication Networks for Neuromorphic Deployment
Maryam Parsa, Catherine D. Schuman, Prasanna Date +8
Training neural networks for neuromorphic deployment is non-trivial. There have been a variety of approaches proposed to adapt back-propagation or back-propagation-like algorithms…