EdX

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

Offered by University of Chicago, UChicagoX,
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.

Class Deals by MOOC List - Click here and see EdX's Active Discounts, Deals, and Promo Codes.

This quantum computing 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 programs in Python and execute them on cloud-accessible quantum hardware. Topics covered in this course include:

  • Introduction to systems research in quantum computing
  • Fundamental rules in quantum computing, Bloch Sphere, Feynman Path Sum
  • Sequential and parallel execution of quantum gates, EPR pair, no-cloning theorem, quantum teleportation
  • Medium-size algorithms for NISQ (near-term intermediate scale quantum) computers
  • Quantum processor microarchitecture: classical and quantum control
  • Quantum program compilation and qubit memory management

Keywords: quantum computing, computer science, linear algebra, compiler, circuit optimization, python, qiskit, quantum algorithms, quantum technology, superposition, entanglement, qubit technology, superconducting qubit, transmon qubit, ion-trap qubit, photonic qubit, real quantum computers.
This course is part of the Quantum Computer Systems Design Professional Certificate.

What you'll learn

  • Understand design principles of full-stack quantum software design
  • Understand several examples of quantum system inefficiencies
  • Learn how to apply several classical software techniques to improve quantum hardware reliability and performance
  • Learn examples of how classical software techniques can be applied to make quantum systems more reliable and efficient
  • Learn how to think about the overall design of a quantum system and how the software and hardware work together
  • Develop unique skills to be more competitive in seeking a position in quantum software development

Syllabus

Textbooks
(Required) Quantum Computer Systems (QCS). Ding and Chong.
(Open) Learn Quantum Computation using Qiskit. IBM Qiskit.
(Optional) Quantum Computation and Quantum Information (QCQI). Nielsen and Chuang.

Schedule

Module 1 (Intro to Quantum Computation and Programming)
Lec 00 - Quantum Computing Systems – Current State-of-Play
Lec 01 - From bits to qubits
Lec 02 - QASM and logic gate decomposition
Lec 03 - Basic quantum programs

Module 2 (Principles of Quantum Architecture)
Lec 04 - Program compilation and synthesis
Lec 05 - Program compilation and synthesis II
Lec 06 - Gate scheduling and parallelism
Lec 07 - Qubit mapping and memory management

Module 3 (Working with Noisy Systems)
Lec 08 - NISQ algorithms
Lec 19 - Noisy quantum systems
Lec 10 - Noise-aware quantum compiling

Prerequisites:
Introduction to Quantum Computing for Everyone (Part 1 and Part 2)
Module I (Intro to Quantum Computation and Programming)
Module II (Principles of Quantum Architecture)

Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Python for Data Science (edX) EdX
University of California, San Diego,UC San DiegoX

Python for Data Science (edX)

Statistics & Data Analysis CS: Programming

Learn to use powerful, open-source, Python tools, including Pandas, Git and Matplotlib, to manipulate, analyze, and visualize complex datasets. In the information age, data is all around us. Within this data are answers to compelling questions across many societal domains (politics, business, science, etc.). But if you had access to a large dataset, would you be able to find the answers you seek?

Self Paced
Self-Paced
Programming Python Machine Learning
Details
Algèbre Linéaire (Partie 3) (edX) EdX
École Polytechnique Fédérale de Lausanne,EPFLx

Algèbre Linéaire (Partie 3) (edX)

Sci: Mathematics

Un MOOC francophone d'algèbre linéaire accessible à tous, enseigné de manière rigoureuse et ne nécessitant aucun prérequis. Vous voulez apprendre l'algèbre linéaire, un précieux outil complémentaire à vos connaissances acquises durant vos études en économie, ingénierie, physique, ou statistique? Ou simplement pour la beauté de la matière? Alors ce cours est fait pour vous!

Self Paced
Self-Paced
Math Linear Algebra Mathematics
Details
Data Science and Machine Learning Capstone Project (edX) EdX
IBM

Data Science and Machine Learning Capstone Project (edX)

Statistics & Data Analysis Data Science

Create a project that you can use to showcase your Data Science skills to prospective employers. Apply various data science and machine learning techniques to analyze and visualize a data set involving a real life business scenario and build a predictive model. Now that you've taken several courses on data science and machine learning, it’s time to put your learning to work on a data problem involving a real life scenario. Employers really care about how well you can apply your knowledge and skills to solve real world problems, and the work you do in this capstone project will make you stand out in the job market.

Self Paced
Self-Paced
Python Machine Learning Data Science
Details
Linear Algebra I: Linear Equations (edX) EdX
Georgia Institute of Technology,GTx

Linear Algebra I: Linear Equations (edX)

Sci: Mathematics

This course takes you through the first three weeks of MATH 1554, Linear Algebra, as taught in the School of Mathematics at The Georgia Institute of Technology. Systems of equations live at the heart of linear algebra. In this course you will explore fundamental concepts by exploring definitions and theorems that give a basis for this subject.

Self Paced
Self-Paced
Equations Linear Algebra Matrix
Details
The Quantum Internet and Quantum Computers: How Will They Change the World? (edX) EdX
Delft University of Technology,DelftX

The Quantum Internet and Quantum Computers: How Will They Change the World? (edX)

Sci: Physics Science

Discover quantum computers and the quantum internet. Learn the principles and promises behind these developments and how they will impact our future. There is no doubt that quantum computers and the quantum internet will have a great impact on our world. But we don’t yet know quite how. As with traditional computers - we will only see the effects in the decades to come.This course will provide you with a basic understanding of quantum computing and the quantum internet. Together, we’ll peek into the fascinating world of quantum phenomena, such as qubits, superposition, and entanglement.

Self Paced
Self-Paced
Physics Quantum Quantum Computing
Details
Fundamentals of Quantum Information (edX) EdX
Delft University of Technology,DelftX

Fundamentals of Quantum Information (edX)

Engineering Eng: Electronics

Learn how quantum information is represented mathematically via quantum circuits and how to manipulate quantum entanglement with these circuits. Take away the hardware, and all quantum computers work the same way, through the clever manipulation of quantum information and entanglement. This course provides a deeper understanding of some of the topics covered in our Quantum 101 program, namely, the representation and manipulation of quantum information at the level of abstract quantum circuits.

Self Paced
Self-Paced
Quantum Information Quantum Circuits NISQ
Details
Linear Algebra IV: Orthogonality & Symmetric Matrices and the SVD (edX) EdX
Georgia Institute of Technology,GTx

Linear Algebra IV: Orthogonality & Symmetric Matrices and the SVD (edX)

Sci: Mathematics

This course takes you through roughly five weeks of MATH 1554, Linear Algebra, as taught in the School of Mathematics at The Georgia Institute of Technology. In the first part of this course you will explore methods to compute an approximate solution to an inconsistent system of equations that have no solutions. Our overall approach is to center our algorithms on the concept of distance.

Self Paced
Self-Paced
Math Linear Algebra Mathematics
Details
Computing in Python II: Control Structures (edX) EdX
Georgia Institute of Technology,GTx

Computing in Python II: Control Structures (edX)

CS: Programming

Learn about control structures, one of the most powerful parts of programming. This course covers conditionals, loops, functions, and error handling, specifically in Python but with broader applicability to other languages as well. Building on your prior knowledge of variables and operators, this course gets into the meat of programming. Organized into five chapters, this course starts by covering the fundamentals of what control structures are and what they do, then moves on to four common control structures in Python.

Self Paced
Self-Paced
Python Computing Functions
Details
Visualizing Data with Python (edX) EdX
IBM

Visualizing Data with Python (edX)

Statistics & Data Analysis CS: Programming

Data visualization is the graphical representation of data in order to interactively and efficiently convey insights to clients, customers, and stakeholders in general. "A picture is worth a thousand words." We are all familiar with this expression. It especially applies when trying to explain the insights obtained from the analysis of increasingly large datasets. Data visualization plays an essential role in the representation of both small and large-scale data. One of the key skills of a data scientist is the ability to tell a compelling story, visualizing data and findings in an approachable and stimulating way.

Self Paced
Self-Paced
Python Maps Charts
Details