Quantum Computing

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Quantum Technologies for Decision Makers (edX)

Quantum technology is all around yet many of us can readily be confused by the science, let alone the trajectories to identifying commercial opportunities. In such a context, making strategic decisions when the science and engineering are shifting presents many innovation dilemmas. Our interest lies in exploring enough of [...]

Introduction to Quantum Information (Coursera)

The course provides an introduction to quantum information at a beginning graduate level. It focuses on the fundamental understanding of how information is processed with quantum systems and how the quantum properties apply to computing and communication tasks. The course begins by presenting quantum theory as the framework of [...]

Applied Quantum Computing III: Algorithm and Software (edX)

Mar 27th 2023
Applied Quantum Computing III: Algorithm and Software (edX)
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Learn domain-specific quantum algorithms and how to run them on present-day quantum hardware. This course is part III of the series of Quantum computing courses, which covers aspects from fundamentals to present-day hardware platforms to quantum software and programming. The goal of part III is to discuss some of [...]

Boltzmann Law: Physics to Computing (edX)

Mar 27th 2023
Boltzmann Law: Physics to Computing (edX)
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Provides a unified perspective connecting equilibrium statistical mechanics with stochastic neural networks and quantum computing. A unique course that connects three diverse fields using the unifying concept of a state-space with 2^N dimensions defined by N binary bits.

Introduction to Quantum Computing (edX)

This course is an approachable introduction to the weird and complex world of quantum computing. Interested learners can develop an understanding of the physics and computer science behind this new technology. This course introduces students to the fundamentals of quantum computing and helps them understand and create quantum solutions [...]

Dynamic Programming, Greedy Algorithms (Coursera)

Mar 20th 2023
Dynamic Programming, Greedy Algorithms (Coursera)
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This course covers basic algorithm design techniques such as divide and conquer, dynamic programming, and greedy algorithms. It concludes with a brief introduction to intractability (NP-completeness) and using linear/integer programming solvers for solving optimization problems. We will also cover some advanced topics in data [...]

Emergent Phenomena in Science and Everyday Life (Coursera)

Before the advent of quantum mechanics in the early 20th century, most scientists believed that it should be possible to predict the behavior of any object in the universe simply by understanding the behavior of its constituent parts. For instance, if one could write down the equations of motion [...]

Quantum Computer Systems Design III: Working with Noisy Systems (edX)

This course explores the basic design principles of today's quantum computer systems. In this course, students will learn to work with the IBM Qiskit software tools to write simple quantum programs and execute them on cloud-accessible quantum hardware.

Quantum Computer Systems Design II: Principles of Quantum Architecture (edX)

Mar 1st 2023
Quantum Computer Systems Design II: Principles of Quantum Architecture (edX)
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This course explores the basic design principles of today's quantum computer systems. In this course, students will learn to work with the IBM Qiskit software tools to write simple quantum programs and execute them on cloud-accessible quantum hardware.

Applied Quantum Computing II: Hardware (edX)

Feb 13th 2023
Applied Quantum Computing II: Hardware (edX)
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Learn how present-day material platforms are built to perform quantum information processing tasks. This course is part 2 of the series of Quantum computing courses, which covers aspects from fundamentals to present-day hardware platforms to quantum software and programming. The goal of part 2 is to provide the essential [...]