About this Research Topic
This Research Topic aims to gather a collection of articles that reflect the latest developments in quantum algorithms and computational complexity across various quantum computational models. The primary objective is to bridge the gap between fundamental research and practical applications, including the implementation of algorithms on current quantum devices. Specific questions to be addressed include the efficiency of different quantum models, the development of new quantum algorithms, and the practical challenges of implementing these algorithms on existing quantum hardware. Hypotheses to be tested may involve the comparative performance of quantum versus classical algorithms in specific problem domains and the potential for hybrid quantum-classical approaches.
To gather further insights into the developments in quantum algorithms and computational complexity, we welcome articles addressing, but not limited to, the following themes:
- Quantum algorithms
- Quantum query model
- Quantum circuits
- Quantum automata
- Quantum stream processing algorithms
- Quantum communication complexity
- Models of quantum computation
- Quantum cryptography
- Quantum machine learning
- Hybrid algorithms
- Quantum complexity theory
- Quantum information theory
- Tensor networks
- Adiabatic computing
- Quantum error correction
Keywords: Quantum Algorithms, quantum computing, quantum automata, quantum communication complexity, tensor networks, hybrid algorithms, quantum complexity theory, quantum information theory, adiabatic computing
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.