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QC101 Quantum Computing and Introduction to Quantum Machine Learning

QC101 Quantum Computing and Introduction to Quantum Machine Learning

By : Kumaresan Ramanathan
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QC101 Quantum Computing and Introduction to Quantum Machine Learning

QC101 Quantum Computing and Introduction to Quantum Machine Learning

By: Kumaresan Ramanathan

Overview of this book

Quantum computing is a cutting-edge computing paradigm that utilizes the principles of quantum mechanics to perform computation. Unlike classical computers that rely on bits (0s and 1s) for data representation and processing, quantum computers use quantum bits or qubits. These qubits can exist in multiple states simultaneously, a property known as superposition. The course content spans a comprehensive journey through the world of quantum computing and its applications. Covering topics from the fundamentals of high school-level math and physics to quantum cryptography, quantum gates, and quantum algorithms, the course offers a structured path for us to grasp the intricacies of this revolutionary field. With hands-on quantum programming using Microsoft Q# and IBM Qiskit, we will construct quantum circuits and delve into practical applications such as quantum cryptography and ML. Tackle complex unsolvable problems, fundamentally changing the computation landscape. Upon completion, we will possess a strong foundation in quantum computing, including knowledge of quantum physics, mathematical concepts, practical quantum programming, cryptography, quantum gates, algorithms, and quantum machine learning. This knowledge equips us to apply quantum computing to real-world challenges and be at the forefront of this cutting-edge technology.
Table of Contents (17 chapters)
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3
Math Foundation: Complex Numbers, Probability, Linear Algebra, and Logic
8
Reversible and Irreversible State Transformations
9
Multi-Qubit Systems
10
Entanglement
14
IBM Quantum Experience
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Introduction
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Tech Concepts
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QC101 Quantum Computing and Introduction to Quantum Machine Learning
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