arXiv:2610.33414
Zeptojoule Microwave Calorimetry with Nanosecond Recovery in Graphene
Seunghan Lee, Woochan Jung, Jayeon Kim, Dongsung T. Park, Seong Jang, Seongeun Jeon, Kenji Watanabe, Takashi Taniguchi, Jong-Chul Park, Philip Kim, Kin Chung Fong, Gil-Ho Lee
Abstract
Graphene calorimeters are predicted to combine extreme energy sensitivity with rapid thermal recovery, yet experiments remain far from ideal estimates. Here, we directly calibrate a graphene Josephson-junction microwave calorimeter using nanosecond pulses and independently determine the thermal parameters of the same operating device. At 110 mK, calibrated pulse measurements yield a characteristic switching-energy scale of 18.1 meV (2.90 zJ), while time-resolved two-pulse thermometry gives an intrinsic relaxation time of 19.5 ns. Pulse-width-dependent calorimetry and bolometric thermometry show that the electronic heat capacity is 12.4 times and the electron-phonon coupling is approximately 50 times larger than ideal estimates. A thermal model using these measured parameters predicts 21.2 meV, quantitatively reproducing the observed switching response. These results identify the microscopic origin of the sensitivity gap in graphene calorimeters and establish a self-consistent calibration framework for ultrafast nanoscale thermal detectors.
AI Summary
Graphene microwave calorimeters are expected to combine low detectable energies with fast thermal recovery, but measured sensitivities have remained above ideal estimates. This study asks whether independently measured thermal properties can account for that discrepancy in a graphene Josephson-junction calorimeter. Nanosecond microwave pulses directly calibrate the switching response of the device. At $110\,\mathrm{mK}$, the measured characteristic switching-energy scale is $18.1\,\mathrm{meV}$, or $2.90\,\mathrm{zJ}$. Time-resolved two-pulse thermometry measures an intrinsic thermal relaxation time of $19.5\,\mathrm{ns}$. Pulse-width-dependent calorimetry and bolometric thermometry determine the thermal parameters of the same operating device: the electronic heat capacity is $12.4$ times the ideal estimate, and the electron–phonon coupling is approximately $50$ times the ideal estimate. A thermal model incorporating these measured parameters predicts a switching-energy scale of $21.2\,\mathrm{meV}$, compared with the observed $18.1\,\mathrm{meV}$. The comparison connects the sensitivity gap to enhanced heat capacity and thermal coupling, while demonstrating a calibration procedure that combines pulse response and independent thermal characterization. Only the abstract is available. It reports a characteristic switching-energy scale, not an energy-resolution distribution or single-photon detection efficiency. It does not specify measurement uncertainties, device-to-device reproducibility, or a microscopic mechanism responsible for the enhanced thermal parameters, so those aspects cannot be assessed from the supplied material.
Written by gpt-6.1-sol from the abstract only. Automated: it can be wrong.