Improving ML Algorithmic Time Complexity Using Quantum Infrastructure

This paper questions current classical machine learning practices by comparing them to their quantum alternatives and addressing the applications and limitations of this new approach. Hands-on practice in solving quantum physics problems Quantum Physics is the study of the behavior of matter and energy at the molecular, atomic, nuclear, and even smaller microscopic levels. Like the other titles in our For Dummies Workbook series, Quantum Physics Workbook For Dummies allows you to hone your skills at solving the difficult and often confusing equations you encounter in this subject. Explains equations in easy-to-understand terms Harmonic Oscillator Operations, Angular Momentum, Spin, Scattering Theory Using a proven practice-and-review approach, Quantum Physics Workbook For Dummies is all you need to get up to speed in problem solving! Abstract Introduction to Machine Learning and Quantum Computing Moore’s Law and State of the Industry Quantum Computing and Qubits Quantum Advantage for Algorithms: Why Quantum? Algorithmic Time Complexity Relevance to Machine Learning Big O Notation Quantum Machine Learning (QML) Solving Linear Systems Classically The HHL Algorithm - A Quantum Alternative Quantum Approach to SVMs Mathematically Modeling the SVM The Gap in Classical SVMs Quantum SVMs (QSVMs) Encoding Classical Data for Quantum Machine Learning Basis Encoding Amplitude Encoding Conclusion References Does quantum physics make your head spin ? This friendly, easy-t-o-follow workbook shows you how to hone your scientific savvy and master your problem-solving skills in quantum physics ! Yoiu'll get hands-on guidance and clear explanations for working through the challenging concepts and equations associated wtih quantum physics. Plus you can find valuable exercises, shortcuts, step-by-step solutions, and plenty of workspace for every equation