Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Log inSign up
Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Blog
Job Board
Q3AS

© 2026 Aqora Quantum S.A.S.

TermsPrivacyLegal Notice

Bulletin of the American Physical Society

Quantum cellular automata for quantum information processing

Robert Raussendorf, Yiyang Gong

Published Mar 24, 2005• 0 citations
OpenAlex

Related papers

Information transport in 1D quantum cellular automata

Gavin K. Brennen, Jamie Williams

APS•May 1, 2003•0 citations

Quantum-cellular-automata pseudorandom maps

Yaakov S. Weinstein, C. Stephen Hellberg

Quantum computation based on quantum-cellular automata (QCA) can greatly reduce the control and precision necessary for experimental implementations of quantum information processing. A QCA system consists of a few species of qubits in which all qubits of a species evolve in parallel. We show that, in spite of its inherent constraints, a QCA system can be used to study complex quantum dynamics. To this aim, we demonstrate scalable operations on a QCA system that fulfill statistical criteria of randomness and explore which criteria of randomness can be fulfilled by operators from various QCA architectures. Other means of realizing random operators with only a few independent operators are also discussed.

arXiv:quant-ph/0401040•Physical Review A•Jun 1, 2004•9 citations

Quantum cellular automata and quantum simulation

Peter J. Love

Bulletin of the American Physical Society•Mar 8, 2007•0 citations

Quantum Cellular Automata

Ioannis Liliopoulos, Georgios D. Varsamis, Ioannis G. Karafyllidis

Emergence, complexity and computation•Jan 1, 2025•1 citation

Cryptographic models of nanocommunicaton network using quantum dot cellular automata: A survey

Bikash Debnath, Jadav Chandra Das, Debashis De

Abstract Security of information is an important issue during the transmission of information. The device that performs the encoding and decoding process is called the encoder and decoder, respectively. The major issues to develop such devices are circuit complexity and power dissipation at the nanoscale level. This can be fixed by utilising the features of reversible logic with Quantum dot cellular automata (QCA) device as a promising archetype for an alternative to the traditional transistor‐based device. QCA has high protection against side‐channel attacks, especially from power analysis attacks. All those features of QCA influence the researchers to explore several QCA‐based cryptographic models of nanocommunication for secure data transmission. Here, the existing QCA‐based circuits for cryptographic architecture are explored and compared concerning their circuit complexity, device area, and operating speeds. The working principles of each of those existing architectures have been demonstrated in detail. Besides, the embedding of reversible logic in QCA cryptographic architecture is also explored. The architectures are compared in terms of the logic used in the design. Finally, the major key issues are identified and addressed in the context of cryptographic models for future secure data transmission processes.

IET Quantum Communication•Jul 1, 2021•12 citations

An overview of quantum cellular automata

Pablo J. Arrighi

Natural Computing•Sep 20, 2019•117 citations
Quantum computation based on quantum-cellular automata (QCA) can greatly reduce the control and precision necessary for experimental implementations of quantum information processing. A QCA system consists of a few species of qubits in which all qubits of a species evolve in parallel. We show that, in spite of its inherent constraints, a QCA system can be used to study complex quantum dynamics. To this aim, we demonstrate scalable operations on a QCA system that fulfill statistical criteria of randomness and explore which criteria of randomness can be fulfilled by operators from various QCA architectures. Other means of realizing random operators with only a few independent operators are also discussed.
Abstract Security of information is an important issue during the transmission of information. The device that performs the encoding and decoding process is called the encoder and decoder, respectively. The major issues to develop such devices are circuit complexity and power dissipation at the nanoscale level. This can be fixed by utilising the features of reversible logic with Quantum dot cellular automata (QCA) device as a promising archetype for an alternative to the traditional transistor‐based device. QCA has high protection against side‐channel attacks, especially from power analysis attacks. All those features of QCA influence the researchers to explore several QCA‐based cryptographic models of nanocommunication for secure data transmission. Here, the existing QCA‐based circuits for cryptographic architecture are explored and compared concerning their circuit complexity, device area, and operating speeds. The working principles of each of those existing architectures have been demonstrated in detail. Besides, the embedding of reversible logic in QCA cryptographic architecture is also explored. The architectures are compared in terms of the logic used in the design. Finally, the major key issues are identified and addressed in the context of cryptographic models for future secure data transmission processes.