File Name: quantum computation and information .zip
The quantum race is already underway. Nobody is quite there yet. Even so, business leaders should consider developing strategies to address three main areas: 1. By planning responsibly, while also embracing future uncertainty, businesses can improve their odds of being ready for the quantum future. Quantum physics has already changed our lives. Thanks to the invention of the laser and the transistor — both products of quantum theory — almost every electronic device we use today is an example of quantum physics in action.
Course description: This is a three-term course covering quantum information, quantum algorithms, quantum error correction, and quantum cryptography. Class meetings : Monday and Wednesday in Lauritsen , beginning 29 September Note: There will be no lecture on May The last lecture of the year is on June 1. Instructor : John Preskill , Lauritsen , X, email: preskill theory. Lectures and references : The primary reference for most of the lectures will be these lecture notes JP. NC and KSV are available in the bookstore.
Skip to search form Skip to main content You are currently offline. Some features of the site may not work correctly. DOI: Nielsen and I. Nielsen , I. Chuang Published Physics. Preface Acknowledgement Nomenclature and notation Part I.
Provides an introduction to the theory and practice of quantum computation. Topics covered: physics of information processing; quantum logic; quantum algorithms including Shor's factoring algorithm and Grover's search algorithm; quantum error correction; quantum communication and cryptography. Prior knowledge of quantum mechanics helpful but not required. Syllabus: This year's syllabus as a PDF file is here. Homework Policy: Collaboration is allowed; please mention those you have collaborated with, and only write your own understanding of the problem.
There will be 6 assignments. Midterm exam. Notes on the exams. How to succeed. Skip to Content. This course, targeted at 2nd year students in science and engineering including computer science and software engineering will teach the basics of quantum computation and information.
Note that no prior knowledge either of quantum mechanics or of classical computation is required to follow this book. Indeed, the first two chapters are a sim- ple.
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The first 6 chapters were originally prepared in , Chapter 7 was added in , and Chapter 9 was added in
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