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Chaithanya Naik Mude
Chaithanya Naik Mude
在 wisc.edu 的电子邮件经过验证
标题
引用次数
引用次数
年份
Scaling qubit readout with hardware efficient machine learning architectures
S Maurya, CN Mude, WD Oliver, B Lienhard, S Tannu
Proceedings of the 50th Annual International Symposium on Computer …, 2023
142023
Hardware efficient neural network assisted qubit readout
S Maurya, CN Mude, WD Oliver, B Lienhard, S Tannu
arXiv preprint arXiv:2212.03895, 2022
32022
Understanding Side-Channel Vulnerabilities in Superconducting Qubit Readout Architectures
S Maurya, CN Mude, B Lienhard, S Tannu
arXiv preprint arXiv:2405.08962, 2024
2024
Enabling Leakage Reduction via Fast and High-Fidelity Qutrit Readout
CN Mude, S Maurya, B Lienhard, S Tannu
arXiv preprint arXiv:2405.08982, 2024
2024
Efficient Machine Learning Systems for High-Fidelity Qubit Readout
S Maurya, C Mude, W Oliver, B Lienhard, S Tannu
APS March Meeting Abstracts 2023, D75. 011, 2023
2023
Optimizing cross resonance gates using recurrent neural networks
S Vinjanampathy, V Aakash, S Hazra, R Vijayaraghavan, C Mude
APS March Meeting Abstracts 2022, Y41. 012, 2022
2022
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