2020 IEEE International Symposium on Circuits and Systems (ISCAS) 2020
DOI: 10.1109/iscas45731.2020.9181014
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Continuous-Time Algorithms for Solving Maxwell's Equations using Analog Circuits

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Cited by 4 publications
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“…So analog computing might have advantages over digital signal processing for some computational problems (such as the detection problem discussed in this paper), which cannot be solved on digital computers. Additionally, analog computing is known to have potentially significant advantages in terms of energy consumption, computation time and bandwidth efficiency; active research in this field still exists (see, e.g., [61], [62], [63], [64], [65], [66]). Moreover, novel approaches and materials have recently stimulated new research on analog computing [67], [68].…”
Section: Discussion and Future Problemsmentioning
confidence: 99%
“…So analog computing might have advantages over digital signal processing for some computational problems (such as the detection problem discussed in this paper), which cannot be solved on digital computers. Additionally, analog computing is known to have potentially significant advantages in terms of energy consumption, computation time and bandwidth efficiency; active research in this field still exists (see, e.g., [61], [62], [63], [64], [65], [66]). Moreover, novel approaches and materials have recently stimulated new research on analog computing [67], [68].…”
Section: Discussion and Future Problemsmentioning
confidence: 99%
“…We build on such prior work by developing a circuit theoretic formulation of FDTD solutions to the 1D Schrödinger equation that naturally maps to fully-parallel implementations using analog switched capacitor (SC) circuits. The work is motivated by recent progress on low-power high-speed analog computation of Maxwell's equations [10], which has resulted in fully-parallel analog computers in 180 nm CMOS that solve the wave equation 420× faster than state of the art NVIDIA GPUs while consuming only 200 mW of power [11], [12].…”
Section: Introductionmentioning
confidence: 99%