Quantum Machine Learning is an emerging sub-field in machine learning wh...
With the rapid development of machine learning, improving its explainabi...
Many fundamental problems in data mining can be reduced to one or more
N...
The emergence of specialized optimization hardware such as CMOS annealer...
Recent hardware advances in quantum and quantum-inspired annealers promi...
Many combinatorial scientific computing problems are NP-hard which in
pr...
Emerging quantum processors provide an opportunity to explore new approa...
We present a topology-based method for mesh-partitioning in three-dimens...
A very important problem in combinatorial optimization is partitioning a...
One of the roadmap plans for quantum computers is an integration within ...
In this work, we explore graph partitioning (GP) using quantum annealing...