ACM Transactions on Quantum Computing

Scope & Guideline

Connecting Researchers to Quantum Breakthroughs

Introduction

Immerse yourself in the scholarly insights of ACM Transactions on Quantum Computing with our comprehensive guidelines detailing its aims and scope. This page is your resource for understanding the journal's thematic priorities. Stay abreast of trending topics currently drawing significant attention and explore declining topics for a full picture of evolving interests. Our selection of highly cited topics and recent high-impact papers is curated within these guidelines to enhance your research impact.
LanguageEnglish
ISSN2643-6809
PublisherASSOC COMPUTING MACHINERY
Support Open AccessNo
Country-
Type-
Converge-
AbbreviationACM T QUANTUM COMPUT / ACM Trans. Quantum Comput.
Frequency4 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
Address1601 Broadway, 10th Floor, NEW YORK, NY 10019-7434

Aims and Scopes

The ACM Transactions on Quantum Computing is dedicated to advancing the field of quantum computing through rigorous research and innovative methodologies. The journal encompasses a wide range of topics, focusing on both theoretical foundations and practical implementations of quantum computing systems.
  1. Quantum Algorithms:
    Research focused on developing new quantum algorithms that leverage quantum mechanics to solve problems more efficiently than classical algorithms.
  2. Quantum Circuit Design and Optimization:
    Studies that aim to refine the design and optimization of quantum circuits, including fault tolerance, gate synthesis, and circuit mapping.
  3. Quantum Machine Learning:
    Exploration of the intersection between quantum computing and machine learning, investigating how quantum methods can enhance learning algorithms.
  4. Quantum Information Theory:
    Research into the principles of quantum information, including quantum communication protocols, error correction, and cryptographic applications.
  5. Hybrid Quantum-Classical Systems:
    Development of frameworks and algorithms that integrate classical computing resources with quantum systems to solve complex problems.
  6. Quantum Hardware and Architectures:
    Investigation of physical implementations of quantum computing, including architecture design, qubit technologies, and scalability challenges.
Recent publications in the ACM Transactions on Quantum Computing reveal emerging themes and trends that are gaining traction within the quantum computing community. These trends highlight areas of innovation and growing interest among researchers.
  1. Optimization Techniques for Quantum Circuits:
    A significant trend has emerged focusing on optimization strategies for quantum circuits, reflecting the need for efficient implementations in real-world applications.
  2. Machine Learning Applications in Quantum Computing:
    The integration of machine learning techniques into quantum computing research is on the rise, showcasing the potential for quantum-enhanced learning algorithms.
  3. Hybrid Quantum-Classical Algorithms:
    There is an increasing focus on hybrid approaches that combine quantum and classical computing, particularly in solving complex optimization problems.
  4. Quantum Sensor Networks:
    Recent interest in quantum sensors indicates a growing recognition of their potential applications in various fields, including metrology and communications.
  5. Formal Verification of Quantum Programs:
    As quantum programming becomes more complex, there is a notable increase in research aimed at formal verification methods to ensure the reliability of quantum software.

Declining or Waning

As the field of quantum computing evolves, certain themes have shown a decline in publication frequency. This could reflect a shift in research focus or the maturation of specific areas.
  1. Basic Quantum Theory:
    Research papers focusing on foundational aspects of quantum mechanics have decreased, possibly as the field moves toward more application-driven studies.
  2. Quantum Communication Protocols:
    While still relevant, there appears to be a waning interest in traditional quantum communication protocols as newer, more integrated approaches are explored.
  3. Theoretical Quantum Complexity:
    Theoretical discussions around quantum complexity theory have become less prominent, as practical applications and implementations take precedence.
  4. Quantum Error Correction Techniques:
    Although still crucial, the frequency of novel contributions in traditional quantum error correction methods has declined, following extensive foundational work in earlier years.
  5. Quantum Simulation of Basic Systems:
    Research focused on simulating simple quantum systems has decreased, with a shift towards more complex and practical applications in quantum computing.

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