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PennyLane, GPUs, and Quantum Machine Learning for NIH Developers - Seminar

Offered By: ChemicalQDevice via YouTube

Tags

Quantum Machine Learning Courses Quantum Information Science Courses Tensor Networks Courses Qudits Courses

Course Description

Overview

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Explore cutting-edge quantum computing techniques in this NIH Developer Seminar focused on PennyLane, GPUs, and quantum machine learning (QML/QiML). Delve into the intersection of quantum information science and biomedical research, learning how to leverage the NIH's extensive biomedical data for AI/ML applications. Discover tools for collaboration that combine classical data generation and processing methods with quantum algorithms. Cover key topics including QML/QiML, tensor networks, variational algorithms, high-dimensional qudits, and dequantized algorithms. Gain insights into recent developments in GPU-accelerated quantum computing and their potential impact on biomedical research. Understand the educational context of these emerging technologies and their pending approval for quantum library use.

Syllabus

NIH Developer Seminar: PennyLane, GPUs, and QML,QiML


Taught by

ChemicalQDevice

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