المؤلفون: Huang, Chaoran, Fujisawa, Shinsuke, de Lima, Thomas Ferreira, Tait, Alexander N., Blow, Eric C., Tian, Yue, Bilodeau, Simon, Jha, Aashu, Yaman, F atih, Peng, Hsuan-Tung, Batshon, Hussam G., Shastri, Bhavin J., Inada, Yoshihisa, Wang, Ting, Prucnal, Paul R.

مصطلحات موضوعية: Physics - Applied Physics, Electrical Engineering and Systems Science - Signal Processing, Physics - Optics

الوصف: In optical communication systems, fibre nonlinearity is the major obstacle in increasing the transmission capacity. Typically, digital signal processing techniques and hardware are used to deal with optical communication signals, but increasing speed and computational complexity create challenges for such approaches. Highly parallel, ultrafast neural networks using photonic devices have the potential to ease the requirements placed on the digital signal processing circuits by processing the optical signals in the analogue domain. Here we report a silicon photonice-lectronic neural network for solving fibre nonlinearity compensation of submarine optical fibre transmission systems. Our approach uses a photonic neural network based on wavelength-division multiplexing built on a CMOS-compatible silicon photonic platform. We show that the platform can be used to compensate optical fibre nonlinearities and improve the signal quality (Q)-factor in a 10,080 km submarine fibre communication system. The Q-factor improvement is comparable to that of a software-based neural network implemented on a 32-bit graphic processing unit-assisted workstation. Our reconfigurable photonic-electronic integrated neural network promises to address pressing challenges in high-speed intelligent signal processing.

العلاقة: http://arxiv.org/abs/2110.12833Test

الإتاحة: https://doi.org/10.1038/s41928-021-00661-2Test
http://arxiv.org/abs/2110.12833Test

المؤلفون: Nahmias, Mitchell A., Peng, Hsuan-Tung, de Lima, Thomas Ferreira, Huang, Chaoran, Tait, Alexander N., Shastri, Bhavin J., Prucnal, Paul R.

مصطلحات موضوعية: Physics - Applied Physics, Electrical Engineering and Systems Science - Signal Processing, Physics - Optics

الوصف: There has been a recent surge of interest in the implementation of linear operations such as matrix multipications using photonic integrated circuit technology. However, these approaches require an efficient and flexible way to perform nonlinear operations in the photonic domain. We have fabricated an optoelectronic nonlinear device--a laser neuron--that uses excitable laser dynamics to achieve biologically-inspired spiking behavior. We demonstrate functionality with simultaneous excitation, inhibition, and summation across multiple wavelengths. We also demonstrate cascadability and compatibility with a wavelength multiplexing protocol, both essential for larger scale system integration. Laser neurons represent an important class of optoelectronic nonlinear processors that can complement both the enormous bandwidth density and energy efficiency of photonic computing operations. ; Comment: 11 pages, 7 figures. Previously submitted to Nature Photonics. Currently received reviewer feedback

العلاقة: http://arxiv.org/abs/2012.08516Test

الإتاحة: http://arxiv.org/abs/2012.08516Test

المؤلفون: Huang, Chaoran, de Lima, Thomas Ferreira, Jha, Aashu, Abbaslou, Siamak, Tait, Alexander N., Shastri, Bhavin J., Prucnal, Paul R.

مصطلحات موضوعية: Physics - Applied Physics, Electrical Engineering and Systems Science - Signal Processing, Physics - Optics

الوصف: We experimentally demonstrate an all-optical programmable thresholder on a silicon photonic circuit. By exploiting the nonlinearities in a resonator-enhanced Mach-Zehnder interferometer (MZI), the proposed optical thresholder can discriminate two optical signals with very similar amplitudes. We experimentally achieve a signal contrast enhancement of 40, which leads to a bit error rate (BER) improvement by 5 orders of magnitude and a receiver sensitivity improvement of 11 dB. We present the thresholding function of our device and validate the function with experimental data. Furthermore, we investigate potential device speed improvement by reducing the carrier lifetime. ; Comment: 4 pages, 5 figures, letter

العلاقة: http://arxiv.org/abs/1908.07067Test

الإتاحة: https://doi.org/10.1109/LPT.2019.2948903Test
http://arxiv.org/abs/1908.07067Test

المؤلفون: Bangari, Viraj, Marquez, Bicky A., Miller, Heidi B., Tait, Alexander N., Nahmias, Mitchell A., de Lima, Thomas Ferreira, Peng, Hsuan-Tung, Prucnal, Paul R., Shastri, Bhavin J.

مصطلحات موضوعية: Electrical Engineering and Systems Science - Signal Processing, Computer Science - Neural and Evolutionary Computing, Physics - Applied Physics, Physics - Optics

الوصف: Convolutional Neural Networks (CNNs) are powerful and highly ubiquitous tools for extracting features from large datasets for applications such as computer vision and natural language processing. However, a convolution is a computationally expensive operation in digital electronics. In contrast, neuromorphic photonic systems, which have experienced a recent surge of interest over the last few years, propose higher bandwidth and energy efficiencies for neural network training and inference. Neuromorphic photonics exploits the advantages of optical electronics, including the ease of analog processing, and busing multiple signals on a single waveguide at the speed of light. Here, we propose a Digital Electronic and Analog Photonic (DEAP) CNN hardware architecture that has potential to be 2.8 to 14 times faster while maintaining the same power usage of current state-of-the-art GPUs. ; Comment: 12 pages, 9 figures, 3 tables

العلاقة: http://arxiv.org/abs/1907.01525Test

الإتاحة: https://doi.org/10.1109/JSTQE.2019.2945540Test
http://arxiv.org/abs/1907.01525Test

المؤلفون: Tait, Alexander N., Ma, Philip Y., de Lima, Thomas Ferreira, Blow, Eric C., Chang, Matthew P., Nahmias, Mitchell A., Shastri, Bhavin J., Prucnal, Paul R.

مصطلحات موضوعية: Physics - Applied Physics, Electrical Engineering and Systems Science - Signal Processing, Physics - Optics

الوصف: Multi-antenna radio front-ends generate a multi-dimensional flood of information, most of which is partially redundant. Redundancy is eliminated by dimensionality reduction, but contemporary digital processing techniques face harsh fundamental tradeoffs when implementing this class of functions. These tradeoffs can be broken in the analog domain, in which the performance of optical technologies greatly exceeds that of electronic counterparts. Here, we present concepts, methods, and a first demonstration of multivariate photonics: a combination of integrated photonic hardware, analog dimensionality reduction, and blind algorithmic techniques. We experimentally demonstrate 2-channel, 1.0 GHz principal component analysis in a photonic weight bank using recently proposed algorithms for synthesizing the multivariate properties of signals to which the receiver is blind. Novel methods are introduced for controlling blindness conditions in a laboratory context. This work provides a foundation for further research in multivariate photonic information processing, which is poised to play a role in future generations of wireless technology. ; Comment: 24 pages, 7 figures

العلاقة: http://arxiv.org/abs/1903.03474Test

الإتاحة: https://doi.org/10.1109/JLT.2019.2945017Test
http://arxiv.org/abs/1903.03474Test