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QC101 Quantum Computing and Introduction to Quantum Machine Learning
QC101 Quantum Computing and Introduction to Quantum Machine Learning

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

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Profile Icon Ramanathan Profile Icon Kumaresan Ramanathan
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Full star icon Full star icon Full star icon Full star icon Empty star icon 4 (1 Ratings)
Video Nov 2023 11hrs 52mins 1st Edition
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Arrow left icon
Profile Icon Ramanathan Profile Icon Kumaresan Ramanathan
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€18.99 per month
Full star icon Full star icon Full star icon Full star icon Empty star icon 4 (1 Ratings)
Video Nov 2023 11hrs 52mins 1st Edition
Video
€67.99
Subscription
Free Trial
Renews at €18.99p/m
Video
€67.99
Subscription
Free Trial
Renews at €18.99p/m

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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.

What you will learn

  • Acquire a solid understanding of quantum physics principles
  • Learn to handle complex numbers, linear algebra, probability, statistics
  • Simulate and run quantum programs using Microsoft Q# and IBM Qiskit
  • Explore quantum cryptography and the secure key-sharing BB84 protocol
  • Dive into quantum machine learning to apply advanced algorithms
  • Apply quantum computing and quantum algorithms such as Shor's algorithm

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Last updated date : Nov 20, 2023
Publication date : Nov 12, 2019
Length: 11hrs 52mins
Edition : 1st
Language : English
ISBN-13 : 9781838989934
Category :
Languages :

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Product Details

Last updated date : Nov 20, 2023
Publication date : Nov 12, 2019
Length: 11hrs 52mins
Edition : 1st
Language : English
ISBN-13 : 9781838989934
Category :
Languages :

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Table of Contents

17 Chapters
Introduction Chevron down icon Chevron up icon
Quantum Physics Through Photon Polarization Chevron down icon Chevron up icon
Math Foundation: Complex Numbers, Probability, Linear Algebra, and Logic Chevron down icon Chevron up icon
Boolean Algebra
Boolean Variables and Operators
Truth Tables
Logic Gates
Logic Circuits
AND Gate
OR Gate
NOT Gate
Multiple Input Gates
Equivalent Circuits 1
Equivalent Circuits 2
Universal Gate NAND
Exclusive OR
XOR for Assignment
XOR of Bit Sequences 1
XOR of Bit Sequences 2
Introduction to Cryptography
Cryptography with XOR
Shared Secret
Importance of Randomness
Breaking the Code
Introduction to Probability
Probability of a Boolean Expression
Mutually Exclusive Events
Independent Events
Manipulating Probabilities with Algebra
P (Mutually Exclusive Events)
P (Independent Events)
Complete Set of MutEx Events
P (A OR B)
Examples
Examples
P (Bit Values)
Analysis with Venn Diagrams
Venn Diagram: P (A AND B)
Venn Diagram: P (A OR B)
Venn Diagram: P (NOT A)
Examples
Examples
Conditional Probability
Examples
Introduction to Statistics
Random Variables
Mapping Random Variables
Mean, Average, Expected Values
Example
Example
Beyond Mean
Standard Deviation
Examples
Combinations of Random Variables
Correlation
Analysis of Correlation
Introduction to Complex Numbers
Imaginary i
Addition
Subtraction
Multiplication by a Real Number
Division by a Real Number
Complex Multiplication
Examples
Complex Conjugates
Squared Magnitude
Complex Division
Examples
Euler's Formula
Polar Form
Examples
Fractional Powers
Complex Cube Roots of 1
Square Root of i
2D Coordinates
Matrices
Matrix Dimensions
Matrix Addition
Matrix Subtraction
Scalar Multiplication
Matrix Multiplication
Examples
Examples
3x3 Example
Exercises
More Multiplications
When Is Multiplication Possible?
Example
Not Commutative
Associative and Distributive
Dimension of Result
Odd-Shaped Matrices
Examples
Outer Product
Exercise
Inner Product
Exercises
Identity Matrix
Matrix Inverse
Transpose
Transpose Examples
Transpose of Product
Complex Conjugate of Matrices
Adjoint
Unitary
Hermitian
Hermitian and Unitary
Why Hermitian or Unitary?
Vectors and Transformations
Rotation in 2D
Special Directions
Eigenvectors and Eigenvalues
More Eigenvectors
Quantum Cryptography Chevron down icon Chevron up icon
Developing a Math Model for Quantum Physics Chevron down icon Chevron up icon
Quantum Physics of Spin States Chevron down icon Chevron up icon
Modeling Quantum Spin States with Math Chevron down icon Chevron up icon
Reversible and Irreversible State Transformations Chevron down icon Chevron up icon
Multi-Qubit Systems Chevron down icon Chevron up icon
Entanglement Chevron down icon Chevron up icon
Understanding Superposition and Entanglement with Quantum Simulators Chevron down icon Chevron up icon
Quantum Computing Model Chevron down icon Chevron up icon
Quantum Programming with Microsoft Q# Chevron down icon Chevron up icon
IBM Quantum Experience Chevron down icon Chevron up icon
Quantum Programming and Algorithms with IBM Qiskit Chevron down icon Chevron up icon
Machine Learning Foundation Chevron down icon Chevron up icon
Quantum Machine Learning with Qiskit Chevron down icon Chevron up icon

Customer reviews

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Ahmed Siddig Dec 02, 2019
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