Quantum Computing the Easy Way

Learn the fundementals of Quantum Computing
Rating: 3.7 out of 5 (118 ratings)
3,660 students
Quantum Computing the Easy Way
Rating: 3.7 out of 5 (118 ratings)
3,663 students
The Nuts and Bolts of Quantum Computing made easy.

Requirements

  • No course requirements
Description

Quantum Computing (QC) will soon have a substantial impact on industry -- from healthcare and pharmaceuticals to manufacturing, finance, and communication systems. It will not only allow companies to do things faster than traditional computing but entirely different. Quantum computers are not decades away. The quantum age has now come and it is imperative for managers and leaders to understand the business implications of this new frontier and be prepared for disruption.

After completing this program, you will be able to separate the promise from the hype and you will understand the basics of how a quantum computer works, and its applications. You will be prepared to answer the fundamental questions around QC: What is a quantum computer? What types of problems can be efficiently solved with QC? When can we expect a quantum computer? And most importantly, how will this transform my organization?


Who this course is for:
  • Students who are interested in Quantum Computing
Course content
5 sections • 6 lectures • 35m total length
  • Introduction
    09:31
  • Content
    00:00
  • Shors Algorithm
    10:31
  • Entanglement & Superposition
    11:16
  • Grovers
    03:11
  • Wrap UP
    00:56

Instructors
Team Leader - Project Number Eight -Quantum Computers.
Daniel Sabol
  • 3.7 Instructor Rating
  • 118 Reviews
  • 3,660 Students
  • 1 Course

Hello, I am Danny Sabol.  I currently work at Fordham University as a librarian and adjunct instructor of Computer Science.  In addition I teach in the Cyber Security program at Mercy College.  I  enjoy reading all things technical and learning new things.  I have built this course to better help you understand that Quantum Computing can be easy to learn and fun.

Professor at Pace University
Avery Leider
  • 3.7 Instructor Rating
  • 118 Reviews
  • 3,660 Students
  • 1 Course

I am currently a PhD student in Computer Science at Pace University in New York.  My PhD thesis is in Quantum Computing.  I am also a Assistant Adjunct Professor teaching at Pace University's Seidenberg School of Computer Science and Information Systems in both the Computer Science Department and the Information Technology Department.  Prior to this, I obtained my Master's Degree in Computer Science in May 2015.  I also established Manhattan Programmers LLC in May 2014, and there I work on mobile apps and websites.  Prior to that, I served a full career in the U.S. Army in multiple locations and jobs, but most of my time was spent in computer security work.

JG
  • 3.7 Instructor Rating
  • 118 Reviews
  • 3,660 Students
  • 1 Course

Currently studying at Pace University with IT major.