High-performance signal processing and telecommunication systems absolutely necessitate analog-to-digital converters (ADCs) that offer extensive bandwidth, exceptional precision, and minimal power consumption, in order to efficiently convert real-world analog signals into digital signals. While current electronic ADCs are constrained by limitations such as low bandwidth, high jitter noise, susceptibility to electromagnetic interference, and excessive energy consumption, photonic ADCs present promising solutions to overcome these challenges. Here, a programmable photonic ADC is developed by integrating phase-change materials (PCMs) with silicon photonics fabricated using foundry processes. Thanks to the programmability and non-volatile nature of PCMs, 2- and 4-bit photonic ADCs are demonstrated on a single chip, achieving zero energy consumption during the quantization. Through the experimental demonstration of 65-state PCMs, photonic ADCs can attain a resolution of 8-bit, marking a significant milestone as the highest resolution reported to date for ADCs leveraging optical technologies. As a proof of concept, an all-optical analog-to-digital conversion system is demonstrated by integrating 2-bit photonic ADCs with optical sampling using a mode-locked laser (MLL). This system achieves the conversion of a 321 MHz radio frequency (RF) signal at a sampling rate of 40 MS s. The programmable, energy-efficient, and high-speed photonic ADCs represent a significant advancement in the evolution of signal processing systems.
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http://dx.doi.org/10.1002/adma.202419444 | DOI Listing |
Adv Mater
March 2025
School of Microelectronics, Fudan University, Shanghai, 200433, P. R. China.
High-performance signal processing and telecommunication systems absolutely necessitate analog-to-digital converters (ADCs) that offer extensive bandwidth, exceptional precision, and minimal power consumption, in order to efficiently convert real-world analog signals into digital signals. While current electronic ADCs are constrained by limitations such as low bandwidth, high jitter noise, susceptibility to electromagnetic interference, and excessive energy consumption, photonic ADCs present promising solutions to overcome these challenges. Here, a programmable photonic ADC is developed by integrating phase-change materials (PCMs) with silicon photonics fabricated using foundry processes.
View Article and Find Full Text PDFHere, we propose a blind signal reconstruction scheme for continuous-time photonic time stretch (CT-PTS) analog-to-digital converters (ADCs). The dynamic envelope extraction is realized online through low-pass filtering avoiding the effect of system parameter fluctuation. Channel mismatch is blindly corrected by processing the overlapping segments between adjacent channels using the least mean squares algorithm.
View Article and Find Full Text PDFWe propose and demonstrate a wavelength-division multiplexing (WDM)-based degenerate architecture for array photonic analog to digital converters (ADCs), which can be applied in phased array and multiple input multiple output (MIMO) systems. This architecture is capable of optical sampling and demultiplexing simultaneously with excellent synchronization and consistency. In the experiment, the four-channel array photonic ADCs is realized with a 20 GSa/s sampling rate for each channel.
View Article and Find Full Text PDFJ Am Chem Soc
July 2024
Genentech Inc., South San Francisco, California 94080, United States.
Antibody-drug conjugates (ADCs) for the treatment of cancer aim to achieve selective delivery of a cytotoxic payload to tumor cells while sparing normal tissue. In vivo, multiple tumor-dependent and -independent processes act on ADCs and their released payloads to impact tumor-versus-normal delivery, often resulting in a poor therapeutic window. An ADC with a labeled payload would make synchronous correlations between distribution and tissue-specific pharmacological effects possible, empowering preclinical and clinical efforts to improve tumor-selective delivery; however, few methods to label small molecules without destroying their pharmacological activity exist.
View Article and Find Full Text PDFNature
November 2023
Department of Automation, Tsinghua University, Beijing, China.
Photonic computing enables faster and more energy-efficient processing of vision data. However, experimental superiority of deployable systems remains a challenge because of complicated optical nonlinearities, considerable power consumption of analog-to-digital converters (ADCs) for downstream digital processing and vulnerability to noises and system errors. Here we propose an all-analog chip combining electronic and light computing (ACCEL).
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