Аннотации:
Microwave Kinetic Inductance Detectors
(MKIDs) have proven to be valuable instruments for detecting weak signals in the
microwave and millimeter-wave spectrum
ranges in many scientific domains. Their novel
operating principle, which is based on the
detection of kinetic inductance changes in
superconducting resonators, has led to applications in astronomy, quantum computing,
and materials science. The efficient reading
of MKID arrays, on the other hand, creates
computational challenges and frequently necessitates the use of advanced data processing
techniques. While effective, traditional readout
systems based on Field Programmable Gate
Arrays (FPGA) have limitations in terms of
flexibility and development simplicity. This
study looks into the possibility of Graphics
Processing Unit (GPU) acceleration to overcome these difficulties. Using an example from
current research, this research demonstrates
how GPU acceleration can improve MKID
readout systems, improve performance, and
facilitate adjustments. In addition to speeding
up development, the integration of GPUs
opens up novel opportunities for MKID
applications across scientific disciplines.