Turn Quantum Computing Knowledge into Action

The quantum computing revolution is upon us.

Like the first digital computers, quantum computers offer the possibility of technology exponentially more powerful than current systems. They stand to change the world by solving problems that seem impossible today and will likely disrupt every industry.

Discover the new frontier in computing with these online offerings from MIT xPRO.

Sign up for your free PDF Top Ten Questions on Quantum Computing Curriculum and stay up to date about the courses.

Quantum Computing Online Curriculum

Intended for engineers, scientists and researchers, as well as leaders of QC teams and executives, MIT xPRO’s online curriculum focuses on the core principles, business implications, and implementation of quantum computing. Participants in all four online courses will apply the principles of QC to real world examples utilizing a state-of-the-art web-available quantum computer−IBM’s Quantum Experience System (IBM Q). The courses can be taken individually or in two program bundles.

Quantum Computing Fundamentals

This two-course program will help you establish a foundation of knowledge for understanding quantum computing. You will be introduced to the history of QC and its implications versus classical computation. These courses are open to any interested participant regardless of technical experience. Prior knowledge of linear algebra and quantum mechanics is helpful but not required. Get an understanding of how the quantum computer could have profound applications and change the very way we think about information with this two-course online program.

Course 1: Introduction to Quantum Computing and Its Applications Starts January 28, 2019

Course 2: Quantum Algorithms for Cybersecurity, Chemistry, and Optimization Starts March 4, 2019

 

Quantum Computing Realities

This two-course program will take you deeper into the practical applications of quantum computing. You will explore quantum noise as well as the concepts of quantum error correction, the threshold for practical, fault-tolerant quantum computation, and models of quantum computation beyond quantum circuits. Understand the true possibilities and advantages of quantum computing while getting hands-on experience in this two-course online program.

Course 1: Practical Realities of Quantum Computation and Quantum Communication Starts June 17, 2019

Course 2: Requirements for Large-Scale Universal Quantum Computation Starts July 22, 2019

Meet the Instructors

Isaac Chuang
Professor of Physics, Professor of Electrical Engineering, Senior Associate Dean of Digital Learning

William Oliver
Professor of the Practice, Physics, Laboratory Fellow, Lincoln Laboratory, Associate Director, Research Laboratory of Electronics

Aram Harrow
Associate Professor of Physics

Peter Shor
Morss Professor of Applied Mathematics, Applied Mathematics Committee Chair, Quantum Computation, Quantum Information

Pioneering Quantum with IBM Q

MIT’s quantum learning initiative is created in collaboration with IBM Q, and the MIT-IBM Watson AI Lab. The MIT-IBM Watson AI Lab is focused on fundamental artificial intelligence (AI) research with the goal of propelling scientific breakthroughs that unlock the potential of AI. A key initiative of the lab is the intersection of quantum computing and machine learning.

IBM Q, which offers commercial universal quantum computing systems for businesses and sciences, has provided underwriting to produce this course. Applications of Quantum Computing courses utilize IBM Q systems and technology, including IBM Q and open source quantum software developer kit Qiskit. MIT is solely responsible for all course content decisions.

“I am delighted by this new collaboration. True breakthroughs are often the result of fresh thinking inspired by new kinds of research teams. The combined MIT and IBM talent dedicated to this new effort will bring formidable power to a field with staggering potential to advance knowledge and help solve important challenges.”

- MIT President L. Rafael Reif
Photos courtesy of Connie Zhou for IBM
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