Quantum

Scope & Guideline

Igniting curiosity in the heart of quantum exploration.

Introduction

Welcome to the Quantum 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, 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
ISSN2521-327x
PublisherVEREIN FORDERUNG OPEN ACCESS PUBLIZIERENS QUANTENWISSENSCHAF
Support Open AccessYes
CountryAustria
TypeJournal
Convergefrom 2017 to 2024
AbbreviationQUANTUM-AUSTRIA / Quantum
Frequency1 issue/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressBOLTZMANNGASSE 3, WIEN 1090, AUSTRIA

Aims and Scopes

The journal "Quantum" focuses on the rapidly evolving field of quantum science and technology, encompassing a wide range of topics that explore the fundamental principles, applications, and implications of quantum mechanics.
  1. Quantum Information Theory:
    Research in this area includes the study of quantum bits (qubits), quantum algorithms, quantum cryptography, and quantum communication protocols, highlighting the unique capabilities of quantum systems in information processing.
  2. Quantum Computing and Algorithms:
    This scope covers the development of quantum algorithms, their computational complexities, and practical implementations on quantum hardware, including error correction and optimization techniques.
  3. Quantum Mechanics Foundations:
    Studies that delve into the foundational aspects of quantum theory, such as entanglement, non-locality, and the implications of quantum mechanics on classical concepts of causality and reality.
  4. Quantum Simulation:
    Research focused on using quantum systems to simulate other quantum systems, particularly in the context of condensed matter physics, high-energy physics, and quantum chemistry.
  5. Quantum Thermodynamics:
    This area explores the interplay between quantum mechanics and thermodynamic principles, investigating phenomena like quantum heat engines, thermodynamic limits, and the role of coherence in thermodynamic processes.
  6. Quantum Materials and Devices:
    Research related to the development and characterization of novel quantum materials and devices, including superconductors, quantum dots, and topological insulators, that exhibit quantum phenomena.
  7. Quantum Machine Learning:
    The intersection of quantum computing and machine learning, where quantum algorithms are applied to enhance learning processes, data analysis, and optimization techniques.
The journal "Quantum" has seen significant growth in specific themes, reflecting the dynamic and evolving nature of the field.
  1. Quantum Error Correction and Fault Tolerance:
    Research in this area is trending upwards as the need for reliable quantum computing systems increases, focusing on developing techniques to mitigate errors and enhance the performance of quantum algorithms.
  2. Quantum Hardware Development:
    There is a growing emphasis on the engineering and optimization of quantum hardware, including superconducting qubits, trapped ions, and photonic systems, to improve the scalability and practicality of quantum computing.
  3. Quantum Neural Networks and Machine Learning:
    The integration of quantum computing with machine learning techniques is gaining traction, with studies exploring how quantum algorithms can enhance learning processes and handle complex data sets.
  4. Quantum Communication Protocols:
    Emerging research focuses on developing new protocols for secure quantum communication, including advancements in quantum key distribution and entanglement-based protocols.
  5. Quantum Thermodynamics and Quantum Fluctuations:
    An increasing interest in understanding the thermodynamic properties of quantum systems and their implications for quantum technology and computation is evident.
  6. Quantum Simulation of Complex Systems:
    There is a marked increase in research aimed at using quantum simulations to study complex physical systems, particularly in condensed matter and high-energy physics.

Declining or Waning

While the journal has a broad focus, certain themes have shown signs of declining interest or publication frequency over recent years.
  1. Classical-Quantum Comparisons:
    Research that primarily compares classical and quantum systems has seen a decrease, as the field shifts towards exploring the unique properties and advantages of quantum systems rather than direct comparisons.
  2. Quantum Game Theory:
    Although initially a vibrant area, the focus on quantum game theory has waned as researchers shift towards more practical applications of quantum mechanics in computing and information.
  3. Non-Local Hidden Variable Theories:
    The exploration of non-local hidden variable models has diminished, possibly due to the growing consensus around the implications of quantum entanglement and the experimental validations supporting quantum mechanics.
  4. Quantum Cryptographic Protocols under Classical Assumptions:
    Interest in quantum cryptographic protocols that rely heavily on classical assumptions has declined as the focus shifts towards more robust, purely quantum-based security methods.

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