MKIDGen3: Energy-Resolving, Single-Photon-Counting MKID Readout on an RFSoC
Jennifer Pearl Smith, John I. Bailey, III., Aled Cuda and, Nicholas Zobrist, Benjamin A. Mazin

TL;DR
The paper introduces MKIDGen3, a scalable, energy-resolving, single-photon-counting MKID readout system that uses modern FPGA design tools to read out thousands of detectors efficiently, with significant improvements in size, weight, and cost.
Contribution
It presents the third-generation MKID readout system leveraging RFSoC technology and modern FPGA design tools for enhanced scalability and maintainability.
Findings
Reads out 2048 MKID channels per board
Achieves detector-limited resolving power with minimal degradation
Reduces size, weight, and power compared to previous systems
Abstract
Building large, cryogenic MKID arrays requires processing highly-multiplexed, wideband readout signals in real time; a task that has previously required large, heavy, and power-intensive custom electronics. In this work, we present the third-generation UVOIR MKID readout system (Gen3) which is capable of reading out twice as many detectors with a fifth the weight and power and an order of magnitude less volume and cost-per-pixel as compared to the previous system. Gen3 leverages the Xilinx RFSoC4x2 platform to read out 2048, 1 MHz MKID channels per board. The system takes a modern approach to FPGA design using Vitis High-Level Synthesis (HLS) to specify signal processing blocks in C/C++, Vivado ML Intelligent Design Runs (IDR) to inform implementation stragety and close timing, and Python Productivity for ZYNQ (PYNQ) to simplify interacting with and programming the FPGA using Python.…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsIntegrated Circuits and Semiconductor Failure Analysis · Semiconductor materials and devices · Advanced Optical Sensing Technologies
