Microprocessor and Integrated Circuits

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Circuit and Signal Processing".

Deadline for manuscript submissions: closed (31 May 2021) | Viewed by 3460

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Department of Electrical & Computer Engineering, Faculty of Engineering, University of Alberta, Edmonton, AB T6G 2R3, Canada
Interests: high-speed I/O; memory interface; analog and mixed signal computation; frequency synthesis and data converters
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Special Issue Information

Dear Colleagues,

An Intelligent, self-learning, connected digital world through smart devices is shaping human lifestyles. At the end of Moore’s law era, the future of electronics hardware will be defined by architecture breakthrough implemented with innovative circuit techniques. In the era of Artificial Intelligence (AI), this Special Issue focuses on machine learning hardware, processor architectures to address memory bandwidth, hardware accelerators for machine learning, alternate computation such as approximate, analog mixed signal, and variable resolution computing, energy-efficient interconnect solution, and smart sensing processing technology. We are also interested in promoting hardware solutions implemented beyond CMOS technology, such as carbon nanotube, graphene, etc.

Prof. Dr. Masum Hossain
Guest Editor

Manuscript Submission Information

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Keywords

  • machine learning
  • I/O bandwidth
  • energy efficiency
  • accelerators
  • CMOS

Published Papers (1 paper)

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Research

11 pages, 3105 KiB  
Article
Arbitrary Configurable 20-Channel Coincidence Counting Unit for Multi-Qubit Quantum Experiment
by Byung Kwon Park, Yong-Su Kim, Young-Wook Cho, Sung Moon and Sang-Wook Han
Electronics 2021, 10(5), 569; https://doi.org/10.3390/electronics10050569 - 28 Feb 2021
Cited by 6 | Viewed by 3038
Abstract
This paper presents a 20-channel coincidence counting unit (CCU) using a low-end field-programmable gate array (FPGA). The architecture of the CCU can be configured arbitrarily to measure from twofold to twentyfold coincidence counts thanks to a multifold controllable architecture, which can be easily [...] Read more.
This paper presents a 20-channel coincidence counting unit (CCU) using a low-end field-programmable gate array (FPGA). The architecture of the CCU can be configured arbitrarily to measure from twofold to twentyfold coincidence counts thanks to a multifold controllable architecture, which can be easily manipulated by a graphical user interface (GUI) program. In addition, it provides up to 20 of each input signal count simultaneously. The experimental results show twentyfold coincidence counts with the resolution occurring in a less than 0.5 ns coincidence window. This CCU has appropriate characteristics for various quantum optics experiments using multi-photon qubits. Full article
(This article belongs to the Special Issue Microprocessor and Integrated Circuits)
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