Research on quantum information processing has progressed astoundingly in the past several years.Concepts totally different from before such as adiabatic computation, quantum measurements, and topological states have been introduced, expanding the possibility of applications.This article introduces recent developments in quantum information processing and discusses NTT's research achievements as examples of the advances in this field.
Research on quantum information processing has progressed astoundingly in the past several years.Concepts totally different from before such as adiabatic computation, quantum measurements, and topological states have been introduced, expanding the possibility of applications.This article introduces recent developments in quantum information processing and discusses NTT's research achievements as examples of the advances in this field.
An expanded theory of information transmission and processing has emerged over the past few years, encompassing the processing and transmission of intact quantum states, the interaction of quantum and classical information, the quantitative theory of entanglement, and the use of quantum information processing to speed up certain classical computations. We review this field, concentrating on the parallels with and differences from classical information theory, which is now best seen as a part of the new theory.
As classical information technology approaches limits of size and functionality, practitioners are searching for new paradigms for the distribution and processing of information. Our goal in this Introduction is to provide a broad view of the beginning of a new era in information technology, an era of quantum information, where previously underutilized quantum effects, such as quantum superposition and entanglement, are employed as resources for information encoding and processing. The ability to distribute these new resources and connect distant quantum systems will be critical. We present an overview of network implications for quantum communication applications, and for quantum computing. This overview is a selection of several illustrative examples, to serve as motivation for the network research community to bring its expertise to the development of quantum information technologies.
The foundation of modern cryptography developed in 1976 considered security by modeling adversaries as polynomial-time Turing machines.However, recent advances in developing a general-purpose quantum computer have made a significant impact on modern cryptography because it overturns the security model.NTT's research on cryptography aims to provide technologies to ensure the security of modern information systems and create applications when quantum computers become widespread.This article reviews the 40 years of cryptologic research at NTT and outlines our current efforts.
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.
Information processing with electronic devices has been the core of the development of technology for the last 60 years, having improvements, new applications, and advances year by year. With this search for new and more advanced ways to process information, a new concept appeared 40 years ago: Quantum computing, which has ceased to be just a concept and has become a reality in recent years, opening the door to new applications, implementations, algorithms, and methods for the development of new and more advanced technologies, with Quantum information science at the core. Quantum machine learning is one of these new fields of study that investigates the interaction of concepts from quantum computation and machine learning. The paradigm of quantum computing and artificial intelligence has been growing steadily in recent years and given the potential of this technology by recognizing the com- puter as a physical system that can take advantage of quantum mechanics for solving problems faster, more efficiently, and accurately, in this work, we present three imple- mentations of applied quantum machine learning: in parallel quantum computation to evaluate the speed-ups of quantum models, in cybersecurity systems for intrusion detection and the implementation of the algorithm quantum Fourier transform for quantum machine learning tasks. The results not only show how successfully quan- tum machine learning can solve current problems but also, progress on how these systems can significantly improve their performance, to achieve Quantum advantage over classical systems. All the experiments presented in this work were executed either on a Quantum simulator or real Quantum Hardware accessible from the plat- forms and frameworks from IBM Quantum, Amazon Web Services, and Xanadu Quantum Technologies Inc.