Characterization of a Transmon Qubit in a 3D Cavity for Quantum Machine Learning and Photon Counting

  1. Alessandro D'Elia,
  2. Boulos Alfakes,
  3. Anas Alkhazaleh,
  4. Leonardo Banchi,
  5. Matteo Beretta,
  6. Stefano Carrazza,
  7. Fabio Chiarello,
  8. Daniele Di Gioacchino,
  9. Andrea Giachero,
  10. Felix Henrich,
  11. Alex Stephane Piedjou Komnang,
  12. Carlo Ligi,
  13. Giovanni Maccarrone,
  14. Massimo Macucci,
  15. Emanuele Palumbo,
  16. Andrea Pasquale,
  17. Luca Piersanti,
  18. Florent Ravaux,
  19. Alessio Rettaroli,
  20. Matteo Robbiati,
  21. Simone Tocci,
  22. and Claudio Gatti
In this paper we report the use of superconducting transmon qubit in a 3D cavity for quantum machine learning and photon counting applications. We first describe the realization and
characterization of a transmon qubit coupled to a 3D resonator, providing a detailed description of the simulation framework and of the experimental measurement of important parameters, like the dispersive shift and the qubit anharmonicity. We then report on a Quantum Machine Learning application implemented on the single-qubit device to fit the u-quark parton distribution function of the proton. In the final section of the manuscript we present a new microwave photon detection scheme based on two qubits coupled to the same 3D resonator. This could in principle decrease the dark count rate, favouring applications like axion dark matter searches.

ICARUS-Q: A scalable RFSoC-based control system for superconducting quantum computers

  1. Kun Hee Park,
  2. Yung Szen Yap,
  3. Yuanzheng Paul Tan,
  4. Christoph Hufnagel,
  5. Long Hoang Nguyen,
  6. Karn Hwa Lau,
  7. Stavros Efthymiou,
  8. Stefano Carrazza,
  9. Rangga P. Budoyo,
  10. and Rainer Dumke
We present a control and measurement setup for superconducting qubits based on Xilinx 16-channel radio frequency system on chip (RFSoC) device. The proposed setup consists of four parts:
multiple RFSoC FPGA boards, a setup to synchronise every DAC and ADC channel across multiple boards, a low-noise DC current supply for qubit biasing and cloud access for remotely performing experiments. We also design the setup to be free of physical mixers. The FPGA boards directly generate microwave pulses using sixteen DAC channels up to the third Nyquist zone which are directly sampled by its eight ADC channels between the fifth and the ninth zones.