Super Data Science: ML & AI Podcast with Jon Krohn 851: Quantum ML: Real-World Applications Today, with Dr. Florian Neukart
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Jan 7, 2025 Florian Neukart, Chief Product Officer at Terra Quantum AG and an assistant professor at Leiden University, dives into fascinating discussions on quantum computing. He addresses the practicality of quantum-safe security amid rising quantum capabilities. The conversation explores hybrid quantum-classical systems and their application in industries like healthcare and automotive. Neukart emphasizes the importance of ethical quantum technology, evolving hardware, and the accessibility of quantum machine learning for aspiring data scientists.
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Practical Quantum ML
- Quantum machine learning is becoming practical today through hybrid approaches.
- These approaches combine classical computing power with targeted quantum computations.
TerraQuantum's Hybrid Approach
- TerraQuantum develops hybrid quantum software libraries that integrate classical HPC with quantum processors.
- Their focus is to manage the complexities of quantum hardware, allowing users to easily switch between different quantum chips.
Quantum Gates and Circuits
- Quantum gates, analogous to classical logic gates, manipulate qubits to perform computations.
- Quantum circuits, sequences of gates, represent quantum algorithms.
