Schemes must be developed to overcome this difficulty if quantum computers are ever to become practical devices. In this course, we will study quantum error-correcting codes that can be exploited to protect quantum information from decoherence and other potential sources of error. And we will see how coding can enable a quantum computer to perform reliably despite the inevitable effects of noise.
Physics Course Information
Building a quantum computer that really works will not be easy. Experimental physicists are now just beginning to build and operate hardware that can coherently process quantum information.
In this course, we will learn about the pioneering efforts to operate quantum computing hardware, using ion traps, cavity quantum electrodynamics, and nuclear magnetic resonance. The course was offered as a two term sequence for the first time in by John Preskill, then repeated the following year taught jointly by Preskill and Alexei Kitaev. In a more complete course three-term course was offered. Since then it has been taught multiple times by both Preskill and Kitaev. Links to the course webpages in later years are listed at the top of this page.
Problem Set 1, due October 23, Solution Set 1 in pdf format Problem Set 2, due November 6, Solution Set 2 in pdf format Problem Set 3, due November 20, Solution Set 3 in pdf format Problem Set 4, due November 29, Solution Set 4 in pdf format.
Introduction to Quantum Information Science
Problem Set 5, due February 5, Problem Set 6, due February 26, Problem Set 7, due March 7, Problem Set 8, due May 7, Problem Set 9, due May 23, Problem Set 10, due May 30, Problem Set 1 , due October 16, Solution Set 1 Problem Set 2 , due October 23, Solution Set 2 Problem Set 3 , due November 6, Solution Set 3 Problem Set 4 , due November 25, Solution Set 4 Problem Set 5 , due December 4, Solution Set 5.
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Overview This course is part of a three-course series that provides an introduction to the theory and practice of quantum computation. Week 1: quantum mechanics Week 2: reversible computation Week 3: quantum measurement.
Taught by Isaac Chuang and Peter Shor. Browse More EdX Articles. Browse More Quantum Computing courses.
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I can rate this course at 2 stars early session , and only because I had some prior knowledge of the subject. Despite this, the lectures left me confused, mostly due to sudden logical jumps in derivations, and also due to small mistakes the lecturer admits this, this is fine. I'm surprised I was able to complete this course.
This is that obsolete style of teaching where the most trivial basics is loosely explained but as soon as the real subject starts "the proof is left as an exercise to the reader".
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It would be a great course if additional exercises in necessary mathemat…. In addition to treating quantum communication, entanglement and algorithms in great depth, this book also addresses a number of interesting miscellaneous topics, such as Maxwell's demon, Landauer's erasure, the Bekenstein bound, and Caratheodory's treatment of the Second Law of thermodyanmics.
All mathematical derivations are based on clear physical pictures which make even the most involved results - such as the Holevo bound - look comprehensible and transparent. The book is ideal as a first introduction to the subject, but may also appeal to the specialist due to its unique presentation.
Classical Information 2. Quantum Mechanics 3. Quantum Information - The Basics 4. Quantum Communication with Entanglement 5. Quantum Information I 6. Quantum Information II 7. Quantum Entanglement--Introduction 8. Witnessing Quantum Entanglement 9. Quantum Entanglement Detection in Practice Measures of Entanglement Quantum Algorithms Entanglement, Computation and Quantum Measurement Quantum Error Correction