QUANTUM INFORMATION & COMPUTATION

Scope & Guideline

Connecting Minds in Quantum Information and Computing

Introduction

Welcome to the QUANTUM INFORMATION & COMPUTATION information hub, where our guidelines provide a wealth of knowledge about the journal’s focus and academic contributions. This page includes an extensive look at the aims and scope of QUANTUM INFORMATION & COMPUTATION, highlighting trending and emerging areas of study. We also examine declining topics to offer insight into academic interest shifts. Our curated list of highly cited topics and recent publications is part of our effort to guide scholars, using these guidelines to stay ahead in their research endeavors.
LanguageEnglish
ISSN1533-7146
PublisherRINTON PRESS, INC
Support Open AccessNo
CountryUnited States
TypeJournal
Convergefrom 2001 to 2024
AbbreviationQUANTUM INF COMPUT / Quantum Inform. Comput.
Frequency6 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
Address565 EDMUND TERRACE, PARAMUS, NJ 07652

Aims and Scopes

The journal 'Quantum Information & Computation' focuses on advancing the field of quantum information science and its applications, emphasizing theoretical and experimental research that contributes to the understanding and development of quantum technologies.
  1. Quantum Algorithms and Complexity:
    The journal publishes research on the design and analysis of quantum algorithms, exploring their computational complexity and efficiency compared to classical counterparts.
  2. Quantum Communication and Cryptography:
    Research in this area includes protocols for secure communication, quantum key distribution, and the study of quantum channels and their properties.
  3. Quantum Computing Theory and Foundations:
    Papers often focus on the theoretical underpinnings of quantum mechanics as they relate to computation, including quantum states, entanglement, and non-locality.
  4. Quantum Machine Learning and Data Processing:
    This scope includes studies on integrating quantum computing with machine learning techniques, exploring how quantum methods can improve data analysis and processing.
  5. Quantum Control and Dynamics:
    Research on controlling quantum systems and understanding their dynamics under various conditions is a significant focus, including noise analysis and fault tolerance.
  6. Quantum Information Theory:
    This includes the study of quantum states, entropy, and measures of quantum information, along with their implications for quantum computing and communication.
The journal has seen a notable evolution in its focus areas, with certain themes gaining prominence in recent years, reflecting the rapid advancements and growing interests in the field of quantum information.
  1. Quantum Software Development:
    Recent publications highlight the development of software tools and frameworks specifically designed for quantum computing, addressing the need for practical applications and user-friendly interfaces.
  2. Quantum Machine Learning:
    There is a growing trend in exploring the intersection of quantum computing and machine learning, with researchers investigating how quantum algorithms can enhance learning processes.
  3. Quantum Security Protocols:
    A significant increase in research on quantum cryptography and secure communication protocols underlines the importance of safeguarding information in a quantum context.
  4. Hybrid Quantum-Classical Systems:
    Emerging interest in systems that combine quantum and classical computing paradigms reflects the practical challenges of current quantum technology and the need for integration.
  5. Quantum Error Correction and Fault Tolerance:
    As quantum technologies advance, research focusing on error correction techniques and strategies for achieving fault tolerance in quantum systems has become increasingly critical.

Declining or Waning

While the journal maintains a strong focus on emerging areas of quantum science, some themes appear to be less frequently addressed in recent publications, indicating a potential waning interest or maturation of those topics.
  1. Classical Simulation of Quantum Systems:
    There seems to be a decreasing number of papers addressing classical algorithms for simulating quantum systems, possibly due to the shifting focus towards more practical quantum computing applications.
  2. Basic Quantum Mechanics Principles:
    Research that strictly adheres to foundational aspects of quantum mechanics without direct relevance to computation or information processing appears to be declining.
  3. Quantum Teleportation Techniques:
    Although still an important concept, specific techniques and studies on quantum teleportation have seen a reduction in frequency, as the focus shifts to more practical applications of quantum technologies.

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