Synthesis Lectures on Quantum Computing The Complexity of Noise: A Philosophical Outlook on Quantum Error Correction Paperback from other stores

  • In quantum computing where algorithms exist that can solve computational probl... In quantum computing where algorithms exist that can solve computational problems more efficiently than any known classical algorithms the elimination of errors that result from external disturbances or from imperfect gates has become the holy grail... more
  • Adiabatic quantum computation (AQC) is an alternative to the better-known gate... Adiabatic quantum computation (AQC) is an alternative to the better-known gate model of quantum computation. The two models are polynomially equivalent but otherwise quite dissimilar: one property that distinguishes AQC from the gate model is its... more
  • Adiabatic quantum computation (AQC) is an alternative to the better-known gate... Adiabatic quantum computation (AQC) is an alternative to the better-known gate model of quantum computation. The two models are polynomially equivalent but otherwise quite dissimilar: one property that distinguishes AQC from the gate model is its... more
  • This book is concerned with the models of quantum computation. Information pro... This book is concerned with the models of quantum computation. Information processing based on the rules of quantum mechanics provides us with new opportunities for developing more efficient algorithms and protocols. However to harness the power... more
  • Quantum robotics is an emerging engineering and scientific research discipline... Quantum robotics is an emerging engineering and scientific research discipline that explores the application of quantum mechanics quantum computing quantum algorithms and related fields to robotics. This work broadly surveys advances in our... more
  • This book is a brief introduction to negative quantum channels i.e. linear tra... This book is a brief introduction to negative quantum channels i.e. linear trace-preserving (and consistent) quantum maps that are not completely positive. The flat and sharp operators are introduced and explained. Complete positivity is presented... more
  • Quantum computation one of the latest joint ventures between physics and the t... Quantum computation one of the latest joint ventures between physics and the theory of computation is a scientific field whose main goals include the development of hardware and algorithms based on the quantum mechanical properties of those physical... more
  • Quantum computers can (in theory) solve certain problems far faster than a cla... Quantum computers can (in theory) solve certain problems far faster than a classical computer running any known classical algorithm. While existing technologies for building quantum computers are in their infancy it is not too early to consider... more
  • This book targets computer scientists and engineers who are familiar with conc... This book targets computer scientists and engineers who are familiar with concepts in classical computer systems but are curious to learn the general architecture of quantum computing systems. It gives a concise presentation of this new paradigm of... more
  • This book targets computer scientists and engineers who are familiar with conc... This book targets computer scientists and engineers who are familiar with concepts in classical computer systems but are curious to learn the general architecture of quantum computing systems. It gives a concise presentation of this new paradigm of... more
  • Noise abatement is the key problem of small-scaled circuit design. New computa... Noise abatement is the key problem of small-scaled circuit design. New computational paradigms are needed -- as these circuits shrink they become very vulnerable to noise and soft errors. In this lecture we present a probabilistic computation... more
  • Quantum Machine Learning bridges the gap between abstract developments in quan... Quantum Machine Learning bridges the gap between abstract developments in quantum computing and the applied research on machine learning. Paring down the complexity of the disciplines involved it focuses on providing a synthesis that explains the... more
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