Quantum Machine Learning and Data Analytics Workshop
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Abstract
With the rapid development of quantum computers, a number of quantum algorithms have been developed and tested on both superconducting qubits based machines and ion trap hardware. Quantum machine learning is expected to be a potential application of quantum computer in the near future. Many quantum machine learning algorithms have been proposed to speed up classical machine learning by quantum computers. At the same time, deep learning has shown great power in solving real world problems. The aim of the workshop is to bring together world leading experts in this new field of quantum machine learning to discuss the recent development of quantum algorithms to perform machine learning tasks on large-scale scientific datasets for various industrial and technological applications and in solving challenging problems in science and engineering.
Sponsored by
Integrative Data Science Initiative Purdue Quantum Science Engineering Institute, The Chemistry, Physics, and Computer Science Departments at Purdue University Electrical and Computer Engineering at Purdue, Discovery Park, Entanglement Institute
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Hall for Discovery and Learning Research