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Matrix Multiplication Using Quantum-Dot Cellular Automata to Implement Conventional Microelectronics

机译:使用量子点元胞自动机实现传统微电子的矩阵乘法

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摘要

Quantum-dot cellular automata (QCA) shows promise as a postsilicon CMOS, low-power computational technology. Nevertheless, to generalize QCA for next-generation digital devices, the ability to implement conventional programmable circuits based on nor, and , and or gates is necessary. To this end, we devise a new QCA structure, the QCA matrix multiplier (MM), employing the standard Coulomb blocked, five quantum-dot QCA cell and quasi-adiabatic switching for sequential data latching in the QCA cells. Our structure can multiply two N × M matrices, using one input and one bidirectional input/output data line. The calculation is highly parallelizable, and it is possible to achieve reduced calculation time in exchange for increasing numbers of parallel MM units. We show convergent, ab initio simulation results using the intercellular Hartree approximation for one, three, and nine MM units. The structure can generally implement any programmable logic array or any matrix multiplication-based operation.
机译:量子点元胞自动机(QCA)有望成为后硅CMOS低功耗计算技术。然而,为了将QCA推广用于下一代数字设备,必须具有基于或,和,和或或门实现传统可编程电路的能力。为此,我们设计了一种新的QCA结构,即QCA矩阵乘法器(MM),它采用标准的库仑阻塞,五个量子点QCA单元和准绝热开关,用于QCA单元中的顺序数据锁存。我们的结构可以使用一个输入和一条双向输入/输出数据线将两个N×M矩阵相乘。该计算高度可并行化,并且可以通过减少并行MM单元数量的增加来缩短计算时间。我们展示了使用一,三和九个MM单元的细胞间Hartree逼近从头开始的收敛仿真结果。该结构通常可以实现任何可编程逻辑阵列或任何基于矩阵乘法的运算。

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