Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it 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.