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Craig S. Lent
Researcher at University of Notre Dame
Publications - 179
Citations - 15306
Craig S. Lent is an academic researcher from University of Notre Dame. The author has contributed to research in topics: Quantum dot cellular automaton & Quantum cellular automaton. The author has an hindex of 54, co-authored 178 publications receiving 14153 citations. Previous affiliations of Craig S. Lent include Arizona State University & University of Minnesota.
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Quantum Cellular Automata
TL;DR: In this article, the authors proposed a new paradigm for computing with cellular automata (CAS) composed of arrays of quantum devices, which is called edge driven computing (EDC), where input, output and power are delivered at the edge of the CA array only; no direct flow of information or energy to internal cells is required.
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Logical devices implemented using quantum cellular automata
P. Douglas Tougaw,Craig S. Lent +1 more
TL;DR: This work examines the possible implementation of logic devices using coupled quantum dot cells, which use these cells to design inverters, programmable logic gates, dedicated AND and OR gates, and non‐interfering wire crossings.
Journal ArticleDOI
A device architecture for computing with quantum dots
Craig S. Lent,P.D. Tougaw +1 more
TL;DR: A new adiabatic switching paradigm is developed which permits clocked control, eliminates metastability problems, and enables a pipelined architecture.
Journal ArticleDOI
Digital logic gate using quantum-Dot cellular automata
Islamshah Amlani,Alexei O. Orlov,Géza Tóth,Géza Tóth,Gary H. Bernstein,Craig S. Lent,Gregory L. Snider +6 more
TL;DR: A functioning logic gate based on quantum-dot cellular automata is presented, where digital data are encoded in the positions of only two electrons, and theoretical simulations of the logic gate output characteristics are in excellent agreement with experiment.
Journal ArticleDOI
Realization of a Functional Cell for Quantum-Dot Cellular Automata
TL;DR: In this paper, a basic cell of the quantum-dot cellular automata, a transistorless approach to computation that addresses the issues of device density, interconnection, and power dissipation, is presented.