Practical application improvement to Quantum SVM: theory to practice

no code implementations • 14 Dec 2020 • Jae-Eun Park, Brian Quanz, Steve Wood, Heather Higgins, Ray Harishankar

For the quantum SVM under NISQ, we use quantum feature maps to translate data into quantum states and build the SVM kernel out of these quantum states, and further compare with classical SVM with radial basis function (RBF) kernels.

Quantum Machine Learning

A Domain-agnostic, Noise-resistant, Hardware-efficient Evolutionary Variational Quantum Eigensolver

no code implementations • 21 Oct 2019 • Arthur G. Rattew, Shaohan Hu, Marco Pistoia, Richard Chen, Steve Wood

Variational quantum algorithms have shown promise in numerous fields due to their versatility in solving problems of scientific and commercial interest.