Journal of Quantum Computing, Simulation and Emerging Computation
Aim and Scope
The Journal of Quantum Computing, Simulation and Emerging Computation publishes original research, reviews, technical reports, and case studies in quantum computation, simulation techniques, and alternative computing models. It seeks to connect advances in theoretical research with practical implementation and application.
Its scope reflects the growing potential of quantum and non-traditional computing paradigms to address complex problems across science, engineering, and industry. The journal encourages work that evaluates algorithmic efficiency, hardware performance, and integration of emerging computation into existing workflows.
Key areas of interest include:
- Quantum Algorithms: Design, optimisation, and analysis of algorithms for quantum processors.
- Quantum Simulation: Modelling physical, chemical, and biological systems using quantum computational approaches.
- Quantum Hardware: Architecture, control systems, qubit technologies, and error correction methods.
- Hybrid Systems: Integration of quantum and classical computing for performance gains.
- Quantum Machine Learning: Algorithms and applications combining quantum computation with AI and data analysis.
- Emerging Computational Paradigms: Neuromorphic computing, optical computing, DNA computing, and other non-classical models.
- Cryptography and Security: Post-quantum cryptographic algorithms, quantum key distribution, and secure computation.
- Performance and Benchmarking: Metrics, test suites, and evaluation of computational resources.
- Software and Development Tools: Quantum programming languages, simulation platforms, and development frameworks.
The journal accepts both theoretical and experimental work, as well as interdisciplinary studies that apply quantum and emerging computation to real-world challenges. Contributions from diverse research environments are welcome, especially those that demonstrate practical feasibility alongside theoretical innovation.
Authors are expected to clearly define research objectives, provide detailed methodology, and discuss the broader implications of their findings for the field.