A framework for demonstrating practical quantum advantage: comparing quantum against classical generative models
Generative modeling has seen a rising interest in both classical and quantum machine
learning, and it represents a promising candidate to obtain a practical quantum advantage in …
learning, and it represents a promising candidate to obtain a practical quantum advantage in …
A conceptual architecture for a quantum-hpc middleware
Quantum computing is important for science and industry as it offers the potential to solve
certain complex problems and perform calculations significantly faster than classical …
certain complex problems and perform calculations significantly faster than classical …
Application-oriented benchmarking of quantum generative learning using QUARK
Benchmarking of quantum machine learning (QML) algorithms is challenging due to the
complexity and variability of QML systems, eg, regarding model ansatzes, data sets, training …
complexity and variability of QML systems, eg, regarding model ansatzes, data sets, training …
The Quantum Computing Paradigm
T Ehmer, G Karemore, H Melo - Computational Drug Discovery …, 2024 - Wiley Online Library
Can novel computing technologies like “quantum computing” transform drug discovery, or at
least be a useful tool that adds value to the overall process? Richard Feynman seemed …
least be a useful tool that adds value to the overall process? Richard Feynman seemed …
A Conceptual Architecture for a Quantum-HPC Middleware
Quantum computing promises potential for science and industry by solving certain
computationally complex problems faster than classical computers. Quantum computing …
computationally complex problems faster than classical computers. Quantum computing …