Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Log inSign up
Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Blog
Job Board
Q3AS

© 2026 Aqora Quantum S.A.S.

TermsPrivacyLegal Notice

Contemporary Physics

An introduction to quantum information processing: applications and realizations

Timothy P. Spiller, William J. Munro, S. D. Barrett, Pieter Kok

Published Nov 1, 2005• 90 citations
Publisher

Abstract

The ideas behind Quantum Information Processing (QIP) began to appear about twenty years ago and theoretical developments have been appearing ever since. Over the last decade quantum experiments have begun to realize QIP and point the way towards the routes for future quantum information technology. This review is a simple introduction to QIP for non-experts. It discusses the basic ideas of and the underpinning quantum theory needed to understand them, as well as various applications and algorithms, and some of the main candidate routes for realizing QIP.

DOI
10.1080/00107510500293261

Related papers

Quantum information technology

Kae Nemoto, Masahide Sasaki, Gerard J Milburn

The basic ideas in quantum information processing (QIP) dates from several decades back, however the research development based on these ideas started only a little more than a decade ago.The initial ideas of quantum information processing emerged from the fundamental difference between quantum physics and classical physics.It was, and still is, hard to analyse quantum systems in general, and in particular when a quantum system gets bigger, it soon becomes intractable even with high performance computers.To analyse a quantum system, Feynman suggested that we should use a computer based on quantum physics.This is the initial idea of quantum information processing.By contrast to quantum computers, all non-quantum-physicsbased computers, that is, all the existing ones including high performance computers, are now called "classical computers" indicating computers based on classical physics.The research on quantum information processing did not take off until 1990s.Until then, the technology to manipulate quantum was yet not ready, and more importantly, the theory for QIP was not developed enough to show the way to efficiently use quantum nature to carry out computation.Quantum key distribution (QKD) was one of the first QIP protocols successfully implemented and developed in 1990s.QKD is a protocol to exchange secure key material between authenticated users at a distance.Thanks to a property that overlapping quantum states cannot be cloned without trace of interaction, the protocol can detect an eavesdropper by measuring the quantum states and post-processing the signals via classical communication between the users.As one-time pad using QKD was proven to be secure against an eavesdropper who has unbounded ability, unlike conventional cryptogra-

Progress in Informatics•Mar 1, 2011•3 citations

Quantum Technologies for Information Processing

Jordi Tura i Brugués

English: Since its genesis, quantum mechanics has proved to be a very accurate model for predicting the behavior of the world below the nanoscale. However, crucial breakthroughs in technology were needed in order to be able to effectively access and manipulate such small magnitudes. During the last twenty years, the field of quantum information processing has experienced a growing interest, in its many variants, both theoretically and practically. Despite being still at a very basic stage, expectations are high. The uniqueness of quantum phenomena (superposition of states, creation of entanglement, etc.) have no classical analogue and allow novelties such as another paradigm of computation, more secure communications, quantum teleportation, quantum dense coding, etc. which are presented and analyzed here. The aim of this Thesis is to present in a unified way the main mathematical methods used in quantum information processing, as well as the state of the art of their corresponding technological implementations. Our contributions are based in making a self-contained presentation; seeking completeness, that is, treating the most relevant fields of research involved, focusing on their relations; and picking the most relevant, insightful references, given the quantity of literature produced in this field. We also discuss some of the fundamental questions that remain still unanswered, and which are the current lines of research to shed light on them.

•Jul 27, 2011•0 citations

Quantum Information Processing

David Peter Divincenzo

Quantum Information Science is a cross-disciplinary subject that has arisen in the last twenty years. It concerns itself with the consequences of our most complete description of the physical world (that is, quantum mechanics) for the reliable, secure, private, and rapid processing of information, both in communication and computation. While its invention is often ascribed to the famous theoretical physicist Richard Feynman in the 1980s, his contributions were only one of many that initiated the field around that time. While he perceived that new types of physical devices, in which the quantum laws of superposition and entanglement function at the logical level, could give new power in the simulation of quantum physics, it was others (Bennett, Brassard) who showed that the uncertainty principle led to fundamentally more secure ways of communicating secret messages. It was yet others (Deutsch, Vazirani) who understood that quantum theory defined a new kind of Turing machine, and that not only quantum physics simulations, but potentially many other computational problems, are sped up in this machine. And it was yet another (Shor) who found a simple, very fast algorithm for prime factorization. The word "qubit" was coined only in 1995. Its introduction is indicative of a new mindset that has developed in recent years for studying and using quantum systems. "Qubit" now stands for a durable paradigm that spans a very wide variety of fields. It thus has many sub-meanings: first, it is the basic abstract unit of information for workers ranging from optical communication engineers to NMR spectroscopists to black-hole theorists. Second, it is the name we now routinely give to physical two level systems, as they are realized by photons, atomic and ionic eigenlevels, electronic and nuclear spin, structural defects in solids, and circulating-current states of superconducting devices. Physics has long dealt with some of these two-level systems, but calling them qubits implies a whole suite of interrelated ideas and capabilities that we ascribe to these systems: the ability to precisely set, and to precisely measure, the quantum state of one unique specimen, to avoid its coupling with the environment while at the same time strongly and controllably coupling the qubits together, to exploit the resulting quantum entanglement as a resource for metrological, cryptographic, and computational tasks. Quantum Information is a very diverse subject pursued today in many different directions, by many hundreds of researchers internationally: In theoretical physics, it has enlivened and sharpened the understanding of efficient representations of entangled many-particle wavefunctions, and has provided the prospect of applications for new concepts such as anyons and majorana fermions. Information theorists has benefitted from having a rigorous extension of the basis of their field, in which classical information theory is subsumed into a greatly broader subject. Theoretical computer scientists continue the search for new quantum algorithms, and have used quantum concepts to prove new results about the classification of computational complexity. Coding theorists have had the new and subtle problem of quantum error correction to analyse and conquer. Most strikingly, the program of experimental physics has been influenced in many directions by Quantum Information Science. State-of-the-art optics experiments transmit quantum states over long distances and perform precision manipulations in single quanta (atomic ions, impurity spins, quantum dots) in the quest to have working quantum cyptography and quantum computing. Quantum Hall systems, and topological insulators, are being assiduously examined for new elementary excitations for use as qubits. In the course of ten years, superconducting devices have improved by over four orders of magnitude in their quantum coherence, a metric made precise by the ideas of quantum computing. [...] DiVincenzo, David

WORLD SCIENTIFIC (EUROPE) eBooks•May 5, 2026•0 citations

Quantum information processing using nuclear and electron magnetic resonance: review and prospects

Jonathan Baugh, Jeremy Chamilliard, C. M. Chandrashekar +13 more

This paper describes recent progress using nuclear magnetic resonance (NMR) as a platform for implementing quantum information processing (QIP) tasks. The basic ideas of NMR QIP are detailed, examining the successes and limitations of liquid and solid state experiments. Finally, a future direction for implementing quantum processors is suggested,utilizing both nuclear and electron spin degrees of freedom.

arXiv:0710.1447•Oct 7, 2007•17 citations

Nuclear magnetic resonance quantum information processing

Roberto M. Serra, Ivan S. Oliveira

For the past decade, nuclear magnetic resonance (NMR) has been established as a main experimental technique for testing quantum protocols in small systems. This Theme Issue presents recent advances and major challenges of NMR quantum information possessing (QIP), including contributions by researchers from 10 different countries. In this introduction, after a short comment on NMR-QIP basics, we briefly anticipate the contents of this issue.

Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences•Sep 3, 2012•14 citations

Nuclear magnetic resonance quantum information processing

B. Erra, I Van S. O Liveira, R. Santa +1 more

For the past decade, nuclear magnetic resonance (NMR) has been established as a main experimental technique for testing quantum protocols in small systems. This Theme Issue presents recent advances and major challenges of NMR quantum information possessing (QIP), including contributions by researchers from 10 different countries. In this introduction, after a short comment on NMR-QIP basics, we briefly anticipate the contents of this issue.

•Jan 1, 2015•0 citations
The ideas behind Quantum Information Processing (QIP) began to appear about twenty years ago and theoretical developments have been appearing ever since. Over the last decade quantum experiments have begun to realize QIP and point the way towards the routes for future quantum information technology. This review is a simple introduction to QIP for non-experts. It discusses the basic ideas of and the underpinning quantum theory needed to understand them, as well as various applications and algorithms, and some of the main candidate routes for realizing QIP.
The basic ideas in quantum information processing (QIP) dates from several decades back, however the research development based on these ideas started only a little more than a decade ago.The initial ideas of quantum information processing emerged from the fundamental difference between quantum physics and classical physics.It was, and still is, hard to analyse quantum systems in general, and in particular when a quantum system gets bigger, it soon becomes intractable even with high performance computers.To analyse a quantum system, Feynman suggested that we should use a computer based on quantum physics.This is the initial idea of quantum information processing.By contrast to quantum computers, all non-quantum-physicsbased computers, that is, all the existing ones including high performance computers, are now called "classical computers" indicating computers based on classical physics.The research on quantum information processing did not take off until 1990s.Until then, the technology to manipulate quantum was yet not ready, and more importantly, the theory for QIP was not developed enough to show the way to efficiently use quantum nature to carry out computation.Quantum key distribution (QKD) was one of the first QIP protocols successfully implemented and developed in 1990s.QKD is a protocol to exchange secure key material between authenticated users at a distance.Thanks to a property that overlapping quantum states cannot be cloned without trace of interaction, the protocol can detect an eavesdropper by measuring the quantum states and post-processing the signals via classical communication between the users.As one-time pad using QKD was proven to be secure against an eavesdropper who has unbounded ability, unlike conventional cryptogra-
English: Since its genesis, quantum mechanics has proved to be a very accurate model for predicting the behavior of the world below the nanoscale. However, crucial breakthroughs in technology were needed in order to be able to effectively access and manipulate such small magnitudes. During the last twenty years, the field of quantum information processing has experienced a growing interest, in its many variants, both theoretically and practically. Despite being still at a very basic stage, expectations are high. The uniqueness of quantum phenomena (superposition of states, creation of entanglement, etc.) have no classical analogue and allow novelties such as another paradigm of computation, more secure communications, quantum teleportation, quantum dense coding, etc. which are presented and analyzed here. The aim of this Thesis is to present in a unified way the main mathematical methods used in quantum information processing, as well as the state of the art of their corresponding technological implementations. Our contributions are based in making a self-contained presentation; seeking completeness, that is, treating the most relevant fields of research involved, focusing on their relations; and picking the most relevant, insightful references, given the quantity of literature produced in this field. We also discuss some of the fundamental questions that remain still unanswered, and which are the current lines of research to shed light on them.
Quantum Information Science is a cross-disciplinary subject that has arisen in the last twenty years. It concerns itself with the consequences of our most complete description of the physical world (that is, quantum mechanics) for the reliable, secure, private, and rapid processing of information, both in communication and computation. While its invention is often ascribed to the famous theoretical physicist Richard Feynman in the 1980s, his contributions were only one of many that initiated the field around that time. While he perceived that new types of physical devices, in which the quantum laws of superposition and entanglement function at the logical level, could give new power in the simulation of quantum physics, it was others (Bennett, Brassard) who showed that the uncertainty principle led to fundamentally more secure ways of communicating secret messages. It was yet others (Deutsch, Vazirani) who understood that quantum theory defined a new kind of Turing machine, and that not only quantum physics simulations, but potentially many other computational problems, are sped up in this machine. And it was yet another (Shor) who found a simple, very fast algorithm for prime factorization. The word "qubit" was coined only in 1995. Its introduction is indicative of a new mindset that has developed in recent years for studying and using quantum systems. "Qubit" now stands for a durable paradigm that spans a very wide variety of fields. It thus has many sub-meanings: first, it is the basic abstract unit of information for workers ranging from optical communication engineers to NMR spectroscopists to black-hole theorists. Second, it is the name we now routinely give to physical two level systems, as they are realized by photons, atomic and ionic eigenlevels, electronic and nuclear spin, structural defects in solids, and circulating-current states of superconducting devices. Physics has long dealt with some of these two-level systems, but calling them qubits implies a whole suite of interrelated ideas and capabilities that we ascribe to these systems: the ability to precisely set, and to precisely measure, the quantum state of one unique specimen, to avoid its coupling with the environment while at the same time strongly and controllably coupling the qubits together, to exploit the resulting quantum entanglement as a resource for metrological, cryptographic, and computational tasks. Quantum Information is a very diverse subject pursued today in many different directions, by many hundreds of researchers internationally: In theoretical physics, it has enlivened and sharpened the understanding of efficient representations of entangled many-particle wavefunctions, and has provided the prospect of applications for new concepts such as anyons and majorana fermions. Information theorists has benefitted from having a rigorous extension of the basis of their field, in which classical information theory is subsumed into a greatly broader subject. Theoretical computer scientists continue the search for new quantum algorithms, and have used quantum concepts to prove new results about the classification of computational complexity. Coding theorists have had the new and subtle problem of quantum error correction to analyse and conquer. Most strikingly, the program of experimental physics has been influenced in many directions by Quantum Information Science. State-of-the-art optics experiments transmit quantum states over long distances and perform precision manipulations in single quanta (atomic ions, impurity spins, quantum dots) in the quest to have working quantum cyptography and quantum computing. Quantum Hall systems, and topological insulators, are being assiduously examined for new elementary excitations for use as qubits. In the course of ten years, superconducting devices have improved by over four orders of magnitude in their quantum coherence, a metric made precise by the ideas of quantum computing. [...] DiVincenzo, David