Reduced Interconnects in Neural Networks Using a Time Multiplexed Architecture Based on Quantum Devices

Peter Kelly; Fergal Tuffy; Valeriu Beiu; Liam McDaid

Towards Brain-inspired Interconnects and Circuits

Research Article

Reduced Interconnects in Neural Networks Using a Time Multiplexed Architecture Based on Quantum Devices

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@INPROCEEDINGS{10.1007/978-3-642-04850-0_32,
    author={Peter Kelly and Fergal Tuffy and Valeriu Beiu and Liam McDaid},
    title={Reduced Interconnects in Neural Networks Using a Time Multiplexed Architecture Based on Quantum Devices},
    proceedings={Towards Brain-inspired Interconnects and Circuits},
    proceedings_a={TBIC},
    year={2012},
    month={5},
    keywords={Quantum device resonant tunneling device (RTD) time multiplexed architecture (TMA) neural network (NN) interconnects},
    doi={10.1007/978-3-642-04850-0_32}
}

Peter Kelly
Fergal Tuffy
Valeriu Beiu
Liam McDaid
Year: 2012
Reduced Interconnects in Neural Networks Using a Time Multiplexed Architecture Based on Quantum Devices
TBIC
Springer
DOI: 10.1007/978-3-642-04850-0_32

Peter Kelly¹^,*, Fergal Tuffy¹^,*, Valeriu Beiu²^,*, Liam McDaid¹^,*

1: University of Ulster
2: United Arab Emirates University

*Contact email: pm.kelly@ulster.ac.uk, f.tuffy@ulster.ac.uk, vbeiu@uaeu.ac.ae, lj.mcdaid@ulster.ac.uk

Abstract

The interconnection problem associated with large scale hardware-based neural networks is well known. A time multiplexed neural network architecture using silicon based quantum devices with MOS/CMOS devices is described and shows significant increased functional density compared to conventional devices.

Keywords: Quantum device resonant tunneling device (RTD) time multiplexed architecture (TMA) neural network (NN) interconnects

Published: 2012-05-28

: http://dx.doi.org/10.1007/978-3-642-04850-0_32