Novel Highly Parallel and Systolic Architectures using Quantum Dot-Based Hardware
Amir Fijany, Benny N. Toomarian, Matthew Spotnitz · 2000
In this paper, we present novel parallel architectures based on Quantum-dot Cellular Automata (QCA) hardware. We show that the QCA, by allowing co-planar line crossing, overcomes a major limitation of VLSI and, in this sense, it can potentially open a new direction in the design of parallel algorithms and architectures. In addition, the QCA is inherently suitable for pipeline and systolic computation. Exploiting these two unique features of QCA and as representative applications, we present systolic architectures for co-planar implementation of complex permutation matrices and computation of FFT by using QCA-based hardware. 1