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Quantum machine learning with microsoft q# at AI Dev Day
The document provides an introduction to quantum machine learning (QML), detailing topics such as quantum systems, qubits, and the differences between classical machine learning and QML. It highlights the potential applications of QML in finance and classification problems, emphasizing the advantages of hybrid quantum-classical architectures. Additionally, it mentions a demonstration using Microsoft Q# and encourages further engagement through LinkedIn and email.
Quantum machine learning with microsoft q# at AI Dev Day
- 1. Introduction to Quantum Machine Learning SyedFarhan Founder, QPower Research Microsoft Student Ambassador
- 2. DISCUSSION POINTS Overview Introduction to QuantumSystems Qubits & Properties Quantum Entanglement Quantum Entanglement with Q# ML Overview QML Intuition ML vs QML Applications of QML Demo of Classification using Q# Summary
- 3. IBM promises 1000-qubitquantum computer—a milestone—by 2023 Source: newsroom.ibm.com QUANTUM IN THE NEWS Quantum Computer with Quantum Volume 64 Source: Honeywell.com 64 Quantum Volume Cloud Accessible Computer Source: newsroom.ibm.com IBM Q System
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- 6. Classical Computing QUBITS IBM QSystem Superposition
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- 9. QUANTUM ENTANGLEMENT "Spooky Actionat a distance" Albert Einstein
- 10. Bell Circuit WithMicrosoft Q#
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- 13. Hybrid Quantum-Classical: Stepsfor QML 1. Quantum Embeddings 2. Quantum Variational Circuit 3. Classical Optimizer
- 14. Finance Portfolio Analysis inFinance Classification Problems Possibility of classifying very large and complex datasets, such as whether cells are cancerous based on several factors, at a higher speed and lower computation cost. Topological Analysis Hybrid implementations of small-scale quantum computing and powerful classical computing for very large datasets WHERE CAN QML BE USED?
- 15. SUMMARY QML is allabout uplifting the features of Quantum Computing to do Machine Learning1. It’s not about speedup, but looking at something different entirely 2. We can expect Hybrid Quantum-Classical Architectures in the future 3.
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- 17. THANKS FOR ATTENDING! Follow uson LinkedIn for weekly dose of Quantum Computing: bit.ly/qpowerlinkedin Feel free to reach out for any questions Email: farhan.tuba@gmail.com for comments or questions. You can sign up for Qpower’s Quantum Program here: bit.ly/qpower101