Aims & Scope
npj Unconventional Computing considers all aspects of research applying unconventional approaches to improve computing efficiency and performance.
The journal covers a broad range of topics including but not limited to:
- Brain-inspired algorithms
- Quantum computing and quantum-inspired algorithms
- Molecular, and DNA computing
- Membrane computing and P systems
- Neuromorphic computing and brain-inspired architectures
- Amorphous computing and swarm robotics
- Cellular automata and complex systems
- Artificial life and evolutionary computation
- Chaos computing and dynamical systems
- Reversible and adiabatic computing
- Thermodynamic computing
- Probabilistic computing (p-bit computing)
- Superconducting computing
- Application of physical phenomena to computing
- Design, fabrication, and testing of unconventional hardware, physical substrates, and emerging technologies for computing
The journal offers more choice to Nature Portfolio authors who are seeking a fully open-access and more inclusive platform for publishing their work. The journal is led by computing experts who collaborate to cultivate high-quality research. As part of the npj Series, this journal focuses on fostering global partnerships with the research community and other Springer Nature journals.
