Variational quantum circuits have recently gained much interest due to their relevance in
real-world applications, such as combinatorial optimizations, quantum simulations, and …

Quantum machine learning (QML) has the potential for improving the multi-label
classification of rare, albeit critical, diseases in large-scale chest x-ray (CXR) datasets due to …

With the increasing maturity and scale of quantum hardware and its integration into HPC
systems, there is a need to develop robust techniques for developing, characterizing, and …

This paper proposes two quantum operation scheduling methods for accelerating parallel
state-vector-based quantum circuit simulation using multiple graphics processing units …

Scientific workflows constitute a pivotal resource for the scientific computing community, as
they provide a standard interface to define, execute, and analyze the results of scientific …