Quantum Computing: Theory to Simulation and Programming
What you'll learn
- Use a real Quantum Computer to solve real world problems
- Basics of Quantum Computing
- Basics of Quantum Physics
- Basics of Cirq programming
- Basics of Dwave-Ocean-SDK
- Quantum implementation of Logic gates
- Basic Combinatorial Optimisation techniques
Requirements
- No initial Mathematics knowledge is required.
- No initial knowledge of Quantum Physics is required. Will be covered in the course
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
Instructor
- 3.8 Instructor Rating
- 530 Reviews
- 3,854 Students
- 7 Courses
Machine Learning & AI Consultant, Online Instructor and Entangled to Quantum Computing.
Extensive experience in -
Technologies: Artificial Intelligence, Machine Learning, Blockchain, Quantum Computing, Decentralisation, Mathematical Modelling, Data Analysis
Frameworks: TensorFlow, Cirq, Flutter, Genetic Evolutionary Algorithms
Languages: Python, Dart, JavaScript, Go, Shell Scripting
Conducted many training programmes on new and upcoming technologies. My speciality is in breaking any seemingly complex topic into basic building blocks along with correlation to real life scenarios. You will inherently find me using the word Basically while explaining concepts :)
I take special interest in Quantum Computing, Machine Learning as prominent technologies and I am amazed by what role AI has already taken in our lives.
I take inspiration from frameworks and patterns found in nature. I consider nature as our best teacher for learning the next evolution of computing.
I invite you on this journey of exploring and sharing the fascinating world of computing.
Happy Coding and Enjoy Learning !
VInay Phadnis