Quantum computing promises remarkable approaches for processing informat...
The road to computing on quantum devices has been accelerated by the pro...
We present a novel methodology for automated feature subset selection fr...
Optimizing the training of a machine learning pipeline helps in reducing...
The quantum approximate optimization algorithm (QAOA) is a method of
app...
Restricted Boltzmann Machine (RBM) is an energy based, undirected graphi...
Quantum programming techniques and software have advanced significantly ...
Noisy Intermediate-Scale Quantum (NISQ) computers aim to perform
computa...
Quantum circuits for mathematical functions such as division are necessa...
We develop a non-cooperative game-theoretic model for the problem of gra...
Tensor networks are powerful factorization techniques which reduce resou...
We present results related to the performance of an algorithm for commun...