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With Bhairav Mehta (Data Science Mgr, Apple) & Vinay Phadnis (Programmer & Open Source Contributor).
Saturday, April 11, 2020 at 09:00 AM   Absolutely Free
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2 days Quantum Computing: Theory to Simulation & Programming training!!

Erudition is offering Quantum Computing: Theory to Simulation & Programming training on April[masked]

Our mission: Erudition's mission is to provide education in emerging technologies to masses at no cost or very affordable rate. What is life's objective at the end of the day? Life is fleeting, & permanence in this world is something we all strive for. The best way to achieve permanence is through sharing knowledge.

Doesn't matter if you are aligned to left brain or right brain you can join Erudition in your Emerging Technologies training!! We will also provide interview help & placement services.

You will get USD300.00 worth of books for Free!! That are written by Bhairav Mehta & other authors.

Link to Enroll:

Time Date : April[masked]AM to 6PM

Location: Online Zoom Meeting

Instructor: Bhairav Mehta

Bhairav Mehta is Data Science Manager at Apple He has 15 years experience in Analytics & Data Science space at various fortune 100 companies. Bhairav Mehta is academician & tenured faculty at various Bay area Universities.

Vinay Phadnis

Freelance programmer by profession & contributor to many open source projects.Extensive experience in -Technologies: Artificial Intelligence, Machine Learning, Blockchain, Quantum Computing, Decentralisation, Mathematical Modelling, Data Analysis

Linkedin Profile:

Erudition Website:

Bhairav Mehta talk videos & other conference proceedings:
Course Description

This course teaches the fundamentals of Quantum Computing including the basics of Quantum Physics & 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.

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.

Cirq: This section deals with using Google's Cirq framework in Python to design Quantum Circuits.

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.

Combinatorial Optimisation: This section deals with a fundamental concept in the domain of combinatorial optimisation called as Quadratic Unconstrained Binary Optimisation (QUBO).

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

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

Course content

Quantum Computers 101
Foundation: Complex Numbers, Probability, Linear Algebra & Logic
-- Quantum Cryptography
-- Quantum Physics 101
-- Quantum Entanglement & Tunnelling
-- Quantum Programming
-- Quantum Simulations
-- Quantum Entanglement
-- Programming a real Quantum Computer
-- Constraint Analysis Problem on a Quantum Computer
-- Quadratic Unconstrained Binary Optimization
-- Quantum Computers for Simulations
More detailed curriculum at

Each topic includes codes & explanation step-by-step


Bhairav Mehta



Email: [masked]

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