Udemy - Quantum Computing: Theory to Simulation and Programming
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| TutsNode.com.txt | 63 B | ||
| [TGx]Downloaded from torrentgalaxy.to .txt | 585 B | ||
| [TutsNode.com] - Quantum Computing Theory to Simulation and Programming | |||
| 1. Quantum Computers 101 | |||
| 1. Quantum Computer Fiction or Fact.mp4 | 168.9 MB | ||
| 2. Building Blocks of a Computer.mp4 | 153.01 MB | ||
| 2.1 Slides Presentation.html | 115 B | ||
| 3. Are Quantum Computers real.mp4 | 175.37 MB | ||
| 3.1 Slides Presentation.html | 118 B | ||
| 3.2 Timeline of Quantum Computers (Wiki).html | 120 B | ||
| 2. Quantum Physics 101 | |||
| 1. Section Intro.mp4 | 115.48 MB | ||
| 1.1 Slides Presentation.html | 115 B | ||
| 2. Probabilistic Nature (Superposition).mp4 | 121.38 MB | ||
| 2.1 Slides Presentation.html | 113 B | ||
| 3. Quantum Entanglement and Tunnelling.mp4 | 221.65 MB | ||
| 3.1 Slides Presentation.html | 122 B | ||
| 4. Data stored in a QuBit.mp4 | 134.73 MB | ||
| 3. Quantum Programming | |||
| 1. Getting Started.mp4 | 147.5 MB | ||
| 1.1 Python Homepage.html | 94 B | ||
| 1.2 Cirq Documentation.html | 99 B | ||
| 1.3 Install Visual Studio Code.html | 91 B | ||
| 1.4 Jupyter Notebook installation.html | 88 B | ||
| 1.5 Course Jupyter notebooks and code.html | 110 B | ||
| 2. Quantum Hello World.mp4 | 216.72 MB | ||
| 2.1 Cirq Documentation.html | 99 B | ||
| 2.2 Quirk Quantum Simulator.html | 88 B | ||
| 2.3 Course Jupyter notebooks and code.html | 110 B | ||
| 3. Defining Quantum Circuits.mp4 | 183.6 MB | ||
| 3.1 Course Jupyter notebooks and code.html | 110 B | ||
| 3.2 Quirk Quantum Simulator.html | 88 B | ||
| 3.3 Cirq Documentation.html | 99 B | ||
| 4. more on Insert Strategies.mp4 | 130.87 MB | ||
| 4.1 Cirq Documentation.html | 99 B | ||
| 4.2 Quirk Quantum Simulator.html | 88 B | ||
| 4.3 Course Jupyter notebooks and code.html | 110 B | ||
| 5. Quantum Simulations.mp4 | 126.53 MB | ||
| 5.1 Course Jupyter notebooks and code.html | 110 B | ||
| 5.2 Quirk Quantum Simulator.html | 88 B | ||
| 5.3 Cirq Documentation.html | 99 B | ||
| 4. Quantum Fourier Transform Algorithm | |||
| 1. What is Quantum Fourier Transform Operation .mp4 | 117.89 MB | ||
| 2. Defining the Hadamard gate.mp4 | 66.36 MB | ||
| 2.1 qft.py | 1.01 KB | ||
| 2.2 Course Jupyter notebooks and code.html | 110 B | ||
| 2.3 More examples using Cirq.html | 116 B | ||
| 3. Defining the XMON Simulator.mp4 | 69.11 MB | ||
| 3.1 qft.py | 1.01 KB | ||
| 3.2 qft.py | 1.01 KB | ||
| 3.3 More examples using Cirq.html | 116 B | ||
| 3.4 Course Jupyter notebooks and code.html | 110 B | ||
| 4. Running the program.mp4 | 22.04 MB | ||
| 4.1 More examples using Cirq.html | 116 B | ||
| 4.2 Course Jupyter notebooks and code.html | 110 B | ||
| 5. Programming a real Quantum Computer | |||
| 1. Installing Dwave Ocean SDK.mp4 | 57.52 MB | ||
| 1.1 Course Jupyter notebooks and code.html | 110 B | ||
| 1.2 Dwave Leap Sign-up.html | 100 B | ||
| 1.3 Creating a Virtual Environment.html | 107 B | ||
| 1.4 DWave Home page.html | 90 B | ||
| 1.5 Dwave Ocean SDK Documentation.html | 124 B | ||
| 2. What is a Graph Problem Traffic analysis.mp4 | 33.97 MB | ||
| 3. Solving Graph Problem on Quantum Processing Unit.mp4 | 67.84 MB | ||
| 3.1 graph.py | 459 B | ||
| 6. Constraint Analysis Problem on a Quantum Computer | |||
| 1. What is Constraint Analysis.mp4 | 131.57 MB | ||
| 2. What are Binary Quadratic Models.mp4 | 143.54 MB | ||
| 3. Declaring the Model.mp4 | 39.33 MB | ||
| 3.1 constraints.py | 1.28 KB | ||
| 4. Reading Minimum Energy Levels.mp4 | 85.54 MB | ||
| 4.1 constraints.py | 1.28 KB | ||
| 5. Running the Program.mp4 | 82.2 MB | ||
| 5.1 constraints.py | 1.28 KB | ||
| 7. Quadratic Unconstrained Binary Optimization | |||
| 1. Section Intro.mp4 | 64.35 MB | ||
| 2. Not gate Problem.mp4 | 130.24 MB | ||
| 3. What is QUBO.mp4 | 241.19 MB | ||
| 4. QUBO for Not gate.mp4 | 48.37 MB | ||
| 8. Quantum Computers for Simulations | |||
| 1. Course Conclusion.html | 1.33 KB | ||
| 2. BONUS Audio Lecture Quantum Machine Learning over a cup of coffee.mp4 | 559.69 MB |
Description
Description
This course teaches the fundamentals of Quantum Computing including the basics of Quantum Physics and Quantum Simulations. This course is divided into 4 modules
Quantum Computing Basics: This section deals with the introduction to the wonderful world of Quantum Computing. The comparison between a Classical Computer and a Quantum Computer are explained.
Quantum Physics Section: This section deals with the introduction to the astronomically tiny world of the physics phenomenon that support quantum computers. Concepts like SuperPosition, Quantum Entanglement, Quantum Tunnelling are covered in this section. Quantum Physics has a strong connection with mathematics. In this section, the quantum phenomenon are explained by avoiding a lot of the mathematical jargon aiming towards providing a good grasp over the fundamental concept.
Cirq: This section deals with using Google’s Cirq framework in Python to design Quantum Circuits. A simulator called Quirk is also used which uses Silicon Hardware to emulate a Quantum Processor
Dwave Leap: This sections covers the Signing-Up for the Dwave-Leap service which enables anyone to start using a real Quantum Computer to solve real world problems. This Quantum Annealer will also be used to solve a Graph-Optimization problem.
Combinatorial Optimisation: This section deals with a fundamental concept in the domain of combinatorial optimisation called as Quadratic Unconstrained Binary Optimisation (QUBO). QUBO is used to further formulate and solve problems like simulating the NOT gate on a Quantum Computer
Hope you have fun exploring the depths of Quantum Computing.
Happy Coding,
Vinay Phadnis
Who this course is for:
Programmers curious about using Quantum Computing for Machine Learning
Aspiring Quantum Programmers
Programmers curious to take part in the Quantum Computing revolution
Requirements
No initial Mathematics knowledge is required.
No initial knowledge of Quantum Physics is required. Will be covered in the course
Last Updated 5/2020
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