Improving Signal-to-Noise Ratio (SNR) for Readout Signals Using Adaptive Filters on Reconfigurable Controls Hardware-Reference-Cited by-同舟云学术

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Improving Signal-to-Noise Ratio (SNR) for Readout Signals Using Adaptive Filters on Reconfigurable Controls Hardware

Published:2023-09-17 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Conference on Quantum Computing and Engineering (QCE)
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Author:

Johnson Hans¹,Zorzetti Silvia²,Saniie Jafar¹

Affiliation:

1. Illinois Institute of Technology,Embedded Computing and Signal Processing (ECASP) Research Laboratory,Department of Electrical and Computer Engineering,Chicago,IL,U.S.A.

2. Superconducting Quantum Materials and Systems Center (SQMS),Fermi National Accelerator Laboratory,Batavia,IL,U.S.A.,60510

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10313590/10313594/10313755.pdf?arnumber=10313755

Reference3 articles.

1. Exploration of Optimizing FPGA-Based Qubit Controller for Experiments on Superconducting Quantum Computing Hardware;johnson;2023 IEEE International Conference on Electro Information Techno logy (eIT),0

2. The Qick (Quantum Instrumentation Control Kit): Readout and Control for Qubits and Detectors;leandro;Review of Scientific Instruments,2022

3. Fast, high-fidelity readout of multiple qubits

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