The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.
Power gain and dissipation in quantum-dot cellular automata
Abstract
Quantum-dot cellular automata (QCA) may provide a novel way to bypass the transistor paradigm to form molecular-scale computing elements. In the QCA paradigm information is represented by the charge configuration of a QCA cell. We develop a theoretical approach, based on the density matrix formalism, which permits examination of energy flow in QCA devices. Using a simple two-state model to describe the cell, and an energy relaxation time to describe the coupling to the environment, we arrive at an equation of motion well suited to the quasi-adiabatically switched regime. We use this to examine the role of power gain and power dissipation in QCA cells. We show that QCA cells can exhibit true signal power gain. The energy lost to dissipative processes is restored by the clock. We calculate the power dissipated to the environment in QCA circuits and show that it is possible to achieve the ultralow levels of power dissipation required at molecular densities.
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Cites
Introduction to Quantum Mechanics
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Self-citationLogical devices implemented using quantum cellular automata
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Self-citationA device architecture for computing with quantum dots
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Self-citationRealization of a Functional Cell for Quantum-Dot Cellular Automata
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Self-citationDigital Logic Gate Using Quantum-Dot Cellular Automata
Amlani, I., Orlov, A. O., Toth, G., Bernstein, G. H., Lent, C. S., & Snider, G. L. (1999) · Science · doi:10.1126/science.284.5412.289 · Cited by 603
Self-citationBistable saturation in coupled quantum dots for quantum cellular automata
Lent, C. S., Tougaw, P. D., & Porod, W. (1993) · Applied Physics Letters · doi:10.1063/1.108848 · Cited by 379
Self-citationClocking of molecular quantum-dot cellular automata
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Self-citationDynamic behavior of quantum cellular automata
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Cited by
Majority Logic Gate for Magnetic Quantum-Dot Cellular Automata
Imre, A., Csaba, G., Ji, L., Orlov, A., Bernstein, G. H., & Porod, W. (2006) · Science · doi:10.1126/science.1120506 · Cited by 912
Molecular Quantum-Dot Cellular Automata
Lent, C. S., Isaksen, B., & Lieberman, M. (2003) · Journal of the American Chemical Society · doi:10.1021/ja026856g · Cited by 444
Self-citationQCAPro - An error-power estimation tool for QCA circuit design
Srivastava, S., Asthana, A., Bhanja, S., & Sarkar, S. (2011) · 2011 IEEE International Symposium of Circuits and Systems (ISCAS) · doi:10.1109/iscas.2011.5938081 · Cited by 286
Consequences of Many-Cell Correlations in Clocked Quantum-Dot Cellular Automata
Taucer, M., Karim, F., Walus, K., & Wolkow, R. A. (2015) · IEEE Transactions on Nanotechnology · doi:10.1109/tnano.2015.2426058 · Cited by 29
Automated Design Architecture for 1-D Cellular Automata Using Quantum Cellular Automata
Mardiris, V. A., Sirakoulis, G. C., & Karafyllidis, I. G. (2015) · IEEE Transactions on Computers · doi:10.1109/tc.2014.2366745 · Cited by 17
Metadata
- Authors
- Timler, J., & Lent, C. S.
- Venue
- Journal of Applied Physics
- Publisher
- AIP Publishing
- Published
- 2002-01-15
- Volume
- 91
- Issue
- 2
- Pages
- 823-831
- ISSN
- 0021-8979 (ISSN-L)
- 1089-7550
- OpenAlex
- W2013743562
- Cited by
- 437
- References
- 17
- FWCI
- 14.04
- Type
- journal article
- Language
- en
- Open access
- closed
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