Quantum Walks: Applications and Fundamentals
A special issue of Entropy (ISSN 1099-4300). This special issue belongs to the section "Quantum Information".
Deadline for manuscript submissions: closed (31 March 2022) | Viewed by 7550
Special Issue Editor
Special Issue Information
Dear Colleagues,
Quantum walks (QWs), and their generalizations, the multiparticle quantum lattice gas automata (QLGA), and the quantum cellular automata (QCA), underlie simulations of physics, many a search algorithm, and are participants in aspects of quantum machine learning (QML). The emergence of quantum devices presents opportunities to extend the reach of classical computing through quantum algorithms. Often, techniques developed to simulate fundamental physics, among them QW and QCA, find applications in quantum/hybrid algorithms and accelerate optimizations. In the current noisy intermediate-scale quantum (NISQ) regime of quantum devices, competing criteria of noise and decoherence and the availability of limited resources must be considered in simulations, and QWs are no exception. Circuits for QWs will avail quantum error correction (QEC)-based schemes for fault tolerance in the future, when a higher number of qubits, error-corrected, are available.
Considering the recent advances achieved in the field of QW, this Special Issue will collect new ideas and describe promising methods arising from the field of QW-based quantum computation and quantum simulation.
This Special Issue will accept unpublished original papers and comprehensive reviews focused on (but not restricted to) the following research areas, where QW and QCA play a main role:
- QW- or (QCA-) based quantum simulation;
- QW-based quantum algorithmics with and without QEC;
- Fault-tolerant quantum cellular automata;
- QW and their application to quantum machine learning;
- QW and their application to quantum communication and cryptography.
Dr. Giuseppe Di Molfetta
Guest Editor
Manuscript Submission Information
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Keywords
- quantum walks
- quantum cellular automata
- quantum simulation
- quantum algorithmics
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