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QC101 Quantum Computing & Quantum Physics for Beginners

6,865 Enrolled Students

Course Features

Partner
Level
All levels
Start Date
Duration
1 year
Access
Full lifetime access
Certificate
Certificate of completion

QC101 Quantum Computing & Quantum Physics for Beginners

6,865 Enrolled Students

What you'll learn

  • Use quantum cryptography to communicate securely
  • Develop, simulate, and debug quantum programs on Microsoft Q#
  • Run quantum programs on a real quantum computer through IBM Quantum Experience
  • Use Dirac's notation and quantum physics models to analyze quantum circuits

Requirements

  • 12th grade level high-school Math and Physics
  • You must have studied Math and Physics upt o 12th grade level and *enjoyed* it. Quantum Computing is primarily about Math & Physics. There is very little coding involved.
  • 12th grade level, high school Math: Complex numbers, linear algebra, probability, statistics, & boolean logic

Description

Welcome to the bestselling quantum computing course on Udemy!

Quantum Computing is the next wave of the software industry. Quantum computers are exponentially faster than classical computers of today. Problems that were considered too difficult for computers to solve, such as simulation of protein folding in biological systems, and cracking RSA encryption, are now possible through quantum computers.

How fast are Quantum Computers? A 64-bit quantum computer can process 36 billion billion bytes of information in each step of computation. Compare that to the 8 bytes that your home computer can process in each step of computation!

Companies like Google, Intel, IBM, and Microsoft are investing billions in their quest to build quantum computers. If you master quantum computing now, you will be ready to profit from this technology revolution.

This course teaches quantum computing from the ground up. The only background you need is 12th grade level high-school Math and Physics.

If it has been a while since you completed your high-school math courses, and if you want a quick review, take a look at the prerequisites course: QC051: Math Foundation for Quantum Computing.

IMPORTANTYou must enjoy Physics and Math to get the most out of this course. This course is primarily about analyzing the behavior of quantum circuits using Math and Quantum Physics. While everything you need to know beyond 12th grade high school science is explained here, you must be aware that Quantum Physics is an extremely difficult subject. You might frequently need to stop the video and replay the lesson to understand it. How will you know if this course is right for you?  The first 13 lessons in the course can be previewed for free. Watch the free previews before purchasing the course. If you enjoy the first 13 lessons, you will probably enjoy the rest of the course.

In the first part of this course you will learn to communicate securely using quantum cryptography.

Next, you will learn basic quantum physics along with the mathematical tools you need for analyzing quantum systems.

Finally, you will use industry tools to develop quantum software: Microsoft Q# on Visual Studio and IBM Quantum Experience.

Additionally, the course materials include a downloadable Q# framework that you can use to experiment with quantum algorithms, entanglement, and superposition.

As a developer why would you want to learn math and physics? Shouldn't you focus more on Qiskit, Q#, or Cirq?

Quantum computers do not execute instructions one by one. There are no quantum 'instructions' for a quantum computer to execute. Instead, a quantum computer operates on a quantum circuit. A quantum circuit is built from quantum gates. The behavior of these quantum circuits is determined by quantum physics. To understand how quantum computers work, math and physics are essential.

A quantum computer is usually paired with a classical computer which manages peripheral operations (such as input & output) for the quantum computer. Peripheral operations on the classical computer are programmed using either Microsoft Q#, or Python (IBM Qiskit), or Google Cirq.

The core skill for quantum computing is a mastery of quantum physics and math, not peripheral operations with Q#, Qiskit, or Cirq.

Why is this course so short ? How much can you learn in 3.5 hours?

This course has been designed to be succinct. Every word the instructor speaks was carefully drafted and polished to be clear and unambiguous. No fluff.

For a better learning experience, open the transcript panel.

You will see a small "transcript" button at the bottom-right of the video player on Udemy's website. If you click this button, the transcript of the narration will be displayed. The transcripts for all the videos have been hand-edited for accuracy. Opening the transcript panel will help you understand the concepts better.

If you missed an important concept, then you can click on text in the transcript panel to return directly to the part you want to repeat. Conversely, if you already understand the concept being presented, you can click on text in the transcript panel to skip ahead in the video.

Enroll today and join the quantum revolution!

Who this course is for:

  • Software professionals and technical managers who want to learn quantum computing and enjoy Math & Physics

Instructors

About the instructor

Kumaresan Ramanathan

I am passionate about making technology easy to understand. I have taught students at the University of Massachusetts and guided software professionals at Cadence Design Systems, iCOMS, Empirix, Relona, and Johnson & Johnson.

My goal is to help you earn more than $200,000 annually as a software professional. I focus on teaching AI and Quantum Computing because these are the highest paid skills in the industry. 

My courses help beginners who have a basic understanding of high school Math and coding. In about 6 months you can complete several courses and become an expert earning $200+ per hour.

In addition to teaching technical skills, I also help you build leadership ability. My courses discuss trade-offs between various technical choices and help you take wise decisions. As an expert software professional, you will be able to recommend solutions, suggest implementation choices, and guide software design.

My courses have a 30 day money back guarantee. Check out the free video previews and enroll today.

I have an electrical engineering degree from IIT and a masters degree in computer science from the University of Massachusetts. I have managed software teams and helped startups launch products in international markets.

I have lived most of my professional life in the Boston area. I enjoy reading science fiction and economic theory. I am a gourmet who loves to try out interesting recipes and new restaurants with friends and family.

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What you’ll learn

  • Use quantum cryptography to communicate securely
  • Develop, simulate, and debug quantum programs on Microsoft Q#
  • Run quantum programs on a real quantum computer through IBM Quantum Experience
  • Use Dirac’s notation and quantum physics models to analyze quantum circuits

Requirements

  • 12th grade level high-school Math and Physics
  • You must have studied Math and Physics upt o 12th grade level and *enjoyed* it. Quantum Computing is primarily about Math & Physics. There is very little coding involved.
  • 12th grade level, high school Math: Complex numbers, linear algebra, probability, statistics, & boolean logic

Description

Welcome to the bestselling quantum computing course on Udemy!

Quantum Computing is the next wave of the software industry. Quantum computers are exponentially faster than classical computers of today. Problems that were considered too difficult for computers to solve, such as simulation of protein folding in biological systems, and cracking RSA encryption, are now possible through quantum computers.

How fast are Quantum Computers? A 64-bit quantum computer can process 36 billion billion bytes of information in each step of computation. Compare that to the 8 bytes that your home computer can process in each step of computation!

Companies like Google, Intel, IBM, and Microsoft are investing billions in their quest to build quantum computers. If you master quantum computing now, you will be ready to profit from this technology revolution.

This course teaches quantum computing from the ground up. The only background you need is 12th grade level high-school Math and Physics.

If it has been a while since you completed your high-school math courses, and if you want a quick review, take a look at the prerequisites course: QC051: Math Foundation for Quantum Computing.

IMPORTANTYou must enjoy Physics and Math to get the most out of this course. This course is primarily about analyzing the behavior of quantum circuits using Math and Quantum Physics. While everything you need to know beyond 12th grade high school science is explained here, you must be aware that Quantum Physics is an extremely difficult subject. You might frequently need to stop the video and replay the lesson to understand it. How will you know if this course is right for you?  The first 13 lessons in the course can be previewed for free. Watch the free previews before purchasing the course. If you enjoy the first 13 lessons, you will probably enjoy the rest of the course.

In the first part of this course you will learn to communicate securely using quantum cryptography.

Next, you will learn basic quantum physics along with the mathematical tools you need for analyzing quantum systems.

Finally, you will use industry tools to develop quantum software: Microsoft Q# on Visual Studio and IBM Quantum Experience.

Additionally, the course materials include a downloadable Q# framework that you can use to experiment with quantum algorithms, entanglement, and superposition.

As a developer why would you want to learn math and physics? Shouldn’t you focus more on Qiskit, Q#, or Cirq?

Quantum computers do not execute instructions one by one. There are no quantum ‘instructions’ for a quantum computer to execute. Instead, a quantum computer operates on a quantum circuit. A quantum circuit is built from quantum gates. The behavior of these quantum circuits is determined by quantum physics. To understand how quantum computers work, math and physics are essential.

A quantum computer is usually paired with a classical computer which manages peripheral operations (such as input & output) for the quantum computer. Peripheral operations on the classical computer are programmed using either Microsoft Q#, or Python (IBM Qiskit), or Google Cirq.

The core skill for quantum computing is a mastery of quantum physics and math, not peripheral operations with Q#, Qiskit, or Cirq.

Why is this course so short ? How much can you learn in 3.5 hours?

This course has been designed to be succinct. Every word the instructor speaks was carefully drafted and polished to be clear and unambiguous. No fluff.

For a better learning experience, open the transcript panel.

You will see a small “transcript” button at the bottom-right of the video player on Udemy’s website. If you click this button, the transcript of the narration will be displayed. The transcripts for all the videos have been hand-edited for accuracy. Opening the transcript panel will help you understand the concepts better.

If you missed an important concept, then you can click on text in the transcript panel to return directly to the part you want to repeat. Conversely, if you already understand the concept being presented, you can click on text in the transcript panel to skip ahead in the video.

Enroll today and join the quantum revolution!

Who this course is for:

  • Software professionals and technical managers who want to learn quantum computing and enjoy Math & Physics