Zobrazeno 1 - 10
of 841
pro vyhledávání: '"Parhi, Keshab"'
Autor:
Mondal, Arijit, Parhi, Keshab K.
The five-qubit quantum error correcting code encodes one logical qubit to five physical qubits, and protects the code from a single error. It was one of the first quantum codes to be invented, and various encoding circuits have been proposed for it.
Externí odkaz:
http://arxiv.org/abs/2410.06375
Publikováno v:
IEEE Transactions on Circuits and Systems for Artificial Intelligence (TCASAI), 2024
Spiking Neural Networks (SNNs) have gained popularity due to their high energy efficiency. Prior works have proposed various methods for training SNNs, including backpropagation-based methods. Training SNNs is computationally expensive compared to th
Externí odkaz:
http://arxiv.org/abs/2406.06879
Autor:
Ge, Lulu, Parhi, Keshab K.
Publikováno v:
IEEE Open Journal of Circuits and Systems, Vol. 5, pp. 102-116, 2024
This paper addresses the clustering of data in the hyperdimensional computing (HDC) domain. In prior work, an HDC-based clustering framework, referred to as HDCluster, has been proposed. However, the performance of the existing HDCluster is not robus
Externí odkaz:
http://arxiv.org/abs/2312.02407
Publikováno v:
2023 IEEE/ACM International Conference on Computer Aided Design (ICCAD)
CRYSTAL-Kyber (Kyber) is one of the post-quantum cryptography (PQC) key-encapsulation mechanism (KEM) schemes selected during the standardization process. This paper addresses optimization for Kyber architecture with respect to latency and throughput
Externí odkaz:
http://arxiv.org/abs/2310.04618
Autor:
Mondal, Arijit, Parhi, Keshab K.
Publikováno v:
IEEE Circuits and Systems Magazine, 24(1), pp. 33-51, 2024
Quantum computers have the potential to provide exponential speedups over their classical counterparts. Quantum principles are being applied to fields such as communications, information processing, and artificial intelligence to achieve quantum adva
Externí odkaz:
http://arxiv.org/abs/2309.11793
Autor:
Mondal, Arijit, Parhi, Keshab K.
Publikováno v:
IEEE Transactions on Circuits and Systems I: Regular Papers, Vol. 72, 2024
Quantum computing is an emerging technology that has the potential to achieve exponential speedups over their classical counterparts. To achieve quantum advantage, quantum principles are being applied to fields such as communications, information pro
Externí odkaz:
http://arxiv.org/abs/2309.12373
Autor:
Parhi, Keshab K.
Publikováno v:
ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Seoul, April 2024
This paper addresses the design of a partly-parallel cascaded FFT-IFFT architecture that does not require any intermediate buffer. Folding can be used to design partly-parallel architectures for FFT and IFFT. While many cascaded FFT-IFFT architecture
Externí odkaz:
http://arxiv.org/abs/2309.09035
Autor:
Chiu, Sin-Wei, Parhi, Keshab K.
Publikováno v:
IEEE Signal Processing Magazine, 41(1), pp. 92-102, Jan. 2024
This tutorial aims to establish connections between polynomial modular multiplication over a ring to circular convolution and discrete Fourier transform (DFT). The main goal is to extend the well-known theory of DFT in signal processing (SP) to other
Externí odkaz:
http://arxiv.org/abs/2306.12519
Autor:
Liu, Xingyi, Parhi, Keshab K.
Publikováno v:
IEEE Circuits and Systems Magazine, pp. 8-28, Second Quarter, 2023
Modern neural networks have revolutionized the fields of computer vision (CV) and Natural Language Processing (NLP). They are widely used for solving complex CV tasks and NLP tasks such as image classification, image generation, and machine translati
Externí odkaz:
http://arxiv.org/abs/2304.13539
Publikováno v:
IEEE Transactions on Computer Aided Design (TCAD), 2023
Graph neural networks (GNNs) have emerged as a powerful tool to process graph-based data in fields like communication networks, molecular interactions, chemistry, social networks, and neuroscience. GNNs are characterized by the ultra-sparse nature of
Externí odkaz:
http://arxiv.org/abs/2304.13532