One-way Quantum Computation (Coursera)

One-way Quantum Computation (Coursera)

The creation of a quantum computer is one of the overarching challenges of our times. A quantum computer will open before humanity the solution of many fundamental and applied problems. Scientific groups and IT giants have created prototypes of quantum computers. Today, these devices have limited power, which is not enough even to compete with classic computers.

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

However, modern scientific advances are rapidly approaching the moment of creating a universal working prototype of a quantum computer. Such importance of the quantum computer, as well as its rapid development, allows claiming that any scientist needs to understand the principles of operation and the structure of this device.
In this course, you will explore in detail the one-way quantum computing model. This model is one of the most promising in terms of practical implementation. In addition, you will understand what continuous-variable quantum computation is and how this type of computation differs from the usual computations with qubits. In addition, you will explore in detail the methods of quantum error correction that can be applied to all models of quantum computation. The authors of the course belong to the theoretical quantum-optical school of St. Petersburg, which arose at the dawn of the formation of this science. We work at St. Petersburg State University and are part of the expert community "Quantum Technologies Consortium" of the state support program for NTI centers, which supported the creation of this course.
Course 4 of 4 in the Quantum Computing: from Basics to the Cutting Edge Specialization.

What You Will Learn

  • Explore in detail the one-way quantum computing model.
  • Understand what continuous-variable quantum computation is
  • Explore in detail the methods of quantum error correction that can be applied to all models of quantum computation.

Syllabus

WEEK 1
Quantum Computing: Modern Principles and Models
In this module, you will learn about the general concept of quantum computation. You will learnwhat a qubit is and how to transform it. You will also learn about the existing models of quantumcomputation, which are fundamentally different from each other in the way they are implemented inpractice.

WEEK 2
One-way Computation in Discrete Variables
In this module, you will know what a discrete variable cluster state is and how it can be used toperform one-way quantum computation. You will learn how cluster states are generated inexperiments and what difficulties there are in the practical implementation of this computationmodel.

WEEK 3
Physical Systems in Continuous Variables
The third module will deal with continuous variable physical systems. You will learn how such systems differ from discrete variable systems. We will also figure out how to organize quantum computing using such systems.

WEEK 4
One-way Computation in Continuous Variables
In the fourth module, you will learn about continuous-variable one-way quantum computation. You will understand how to generate cluster states and how to experimentally verify that this state is acluster state and suitable for one-way computation.

WEEK 5
Quantum Codes of Error Correction for One-way Computation
In the final module, you will learn about quantum error correction codes. You will know how to build error correction codes that are capable of correcting any quantum computation error. Inaddition, you will learn what GKP states are and how you can correct the quadrature displacementerror using these states.

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

Related Courses

Interfacing with the Raspberry Pi (Coursera) Coursera
University of California, Irvine

Interfacing with the Raspberry Pi (Coursera)

The Raspberry Pi uses a variety of input/output devices based on protocols such as HDMI, USB, and Ethernet to communicate with the outside world. In this class you will learn how to use these protocols with other external devices (sensors, motors, GPS, orientation, LCD screens etc.) to get your IoT device to interact with the real world.

Jun 8th 2026
4 Weeks
Applied Quantum Computing III: Algorithm and Software (edX) EdX
Purdue University,PurdueX

Applied Quantum Computing III: Algorithm and Software (edX)

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 the key domain-specific algorithms that are developed by exploiting the fundamental quantum phenomena (e.g. entanglement)and computing models discussed in part I.

Mar 25th 2024
5-12 Weeks
Quantum Machine Learning (with IBM Quantum Research) (openHPI) OpenHPI
Hasso-Plattner-Institut

Quantum Machine Learning (with IBM Quantum Research) (openHPI)

Whether we stream our favorite series, develop new drugs or have us being chauffeured by a self-driving car -- machine learning is an essential part of our modern life, and of our future. But the growing amount of data and our increasing demands pose difficulties for today's classical computers. Can quantum computing overcome these challenges? What potentials does the emerging field of quantum machine learning have? In this course, we will not only learn about quantum machine learning and its prospects, but we will also solve concrete tasks with both classical and quantum models.

Jan 11th 2023
2 Weeks
Understanding Quantum Computers (FutureLearn) FutureLearn
Keio University

Understanding Quantum Computers (FutureLearn)

Explore the key concepts of quantum computing and find out how it’s changing computer science with this introductory course. In this course, we will discuss the motivation for building quantum computers, cover the important principles in quantum computing, and take a look at some of the important quantum computing algorithms.

Available now
3 Weeks
Introduction to Quantum Information (Coursera) Coursera
Korea Advanced Institute of Science and Technology - KAIST

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 information processing. Quantum systems are introduced with single and two qubits. Axioms of quantum theory such as states, dynamics, and measurements are explained as preparation, evolution, and readout of qubits. Quantum computing and quantum communication are explained.

May 18th 2026
5-12 Weeks
Fundamentals of GIS (Coursera) Coursera
University of California, Davis

Fundamentals of GIS (Coursera)

Explore the world of spatial analysis and cartography with geographic information systems (GIS). What you will learn: define core geospatial concepts; practice with subset data using selections and feature attributes; create map books using advanced mapping techniques; create layer and map packages.

Jun 8th 2026
4 Weeks
The Introduction to Quantum Computing (Coursera) Coursera
Saint Petersburg State University

The Introduction to Quantum Computing (Coursera)

"Quantum Computing" is among those terms that are widely discussed but often poorly understood. The reasons of this state of affairs may be numerous, but possibly the most significant among them is that it is a relatively new scientific area, and it's clear interpretations are not yet widely spread. The main obstacle here is the word "quantum", which refers to quantum mechanics - one of the most counter-intuitive ways to describe our world.

Aug 8th 2022
5-12 Weeks
Introduction to Quantum Computing for Everyone (edX) EdX
University of Chicago,UChicagoX

Introduction to Quantum Computing for Everyone (edX)

This first course in quantum computing is for novices and requires learners to have only basic algebra. It covers the future impacts of quantum computing, provides intuitive introductions of quantum physics phenomenon, and progresses from single operations to a complete algorithm. Quantum computing is coming closer to reality, with 80+ bit machines in active use. This course provides an intuitive introduction to the impacts, underlying phenomenon, and programming principles that underlie quantum computing.

Self Paced
Self-Paced