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Bennett clocking of quantum-dot cellular automata and the limits to binary logic scaling

Open access
Lent, Craig S, Liu, Mo, Lu, Yuhui·2006·Nanotechnology

Abstract

We examine power dissipation in different clocking schemes for molecular quantum-dot cellular automata (QCA) circuits. 'Landauer clocking' involves the adiabatic transition of a molecular cell from the null state to an active state carrying data. Cell layout creates devices which allow data in cells to interact and thereby perform useful computation. We perform direct solutions of the equation of motion for the system in contact with the thermal environment and see that Landauer's Principle applies: one must dissipate an energy of at least k(B)T per bit only when the information is erased. The ideas of Bennett can be applied to keep copies of the bit information by echoing inputs to outputs, thus embedding any logically irreversible circuit in a logically reversible circuit, at the cost of added circuit complexity. A promising alternative which we term 'Bennett clocking' requires only altering the timing of the clocking signals so that bit information is simply held in place by the clock until a computational block is complete, then erased in the reverse order of computation. This approach results in ultralow power dissipation without additional circuit complexity. These results offer a concrete example in which to consider recent claims regarding the fundamental limits of binary logic scaling.

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Metadata

Authors
Lent, C. S., Liu, M., & Lu, Y.
Venue
Nanotechnology
Published
2006-08-07
Volume
17
Issue
16
Pages
4240-4251
ISSN
  • 0957-4484 (ISSN-L)
  • 1361-6528
OpenAlex
W2119708875
Cited by
224
References
4
FWCI
9.57
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Bennett clocking of quantum-dot cellular automata and the limits to binary logic scaling. https://app.cochat.ai/papers/10.1088/0957-4484/17/16/040
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Lent, C. S., Liu, M., & Lu, Y. (2006). Bennett clocking of quantum-dot cellular automata and the limits to binary logic scaling. Nanotechnology. https://doi.org/10.1088/0957-4484/17/16/040

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