QC101 Quantum Computing and Introduction to Quantum Machine Learning: Explore math-based quantum computing, cryptography, quantum ML and code with Python, Q#, and Qiskit

Ramanathan

Kumaresan Ramanathan

€8.99 ~~€67.99~~

4 (1 Ratings)

Video Nov 2023 11hrs 52mins 1st Edition

Ramanathan

Kumaresan Ramanathan

€8.99 ~~€67.99~~

4 (1 Ratings)

Video Nov 2023 11hrs 52mins 1st Edition

What do you get with a video?

Download this video in MP4 format

Access this title in our online reader with advanced features

DRM FREE - Read whenever, wherever and however you want

View table of contents

Download Code

Key benefits

Acquire a comprehensive foundation of math, quantum physics, cryptography, and quantum programming
Construct quantum circuits and apply quantum computing to real-world problems, emphasizing practical skills
Harness quantum computing for data science/AI with the forefront of technological advancement

Description

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.

Who is this book for?

The target audience for the course includes software professionals, technical managers, machine learning and AI professionals, and individuals with a keen interest in quantum computing. We will require a background in high school-level math and physics and an appreciation for these subjects. The course caters to those who want to delve into quantum computing, understand its practical applications, and potentially integrate quantum technology into their work or research. A strong foundation in high-school-level math and physics, along with an enthusiasm for these subjects is desirable.