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Centralized differential privacy has been successfully applied to quantum computing and information processing to protect privacy and avoid leaks in the connections between neighboring quantum states.
Randomized response: A survey technique for eliminating evasive answer bias
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A unifying framework for differentially private quantum algorithms
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Detecting violations of differential privacy for quantum algorithms. In Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security . 2277–2291
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Quantum local differential privacy and quantum statistical query model
Armando Angrisani and Elham Kashefi. 2022 · 2022
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Quantum computational advantage via 60-qubit 24-cycle random circuit sampling
Qingling Zhu, Sirui Cao, Fusheng Chen, Ming-Cheng Chen, Xiawei Chen, Tung-Hsun Chung, Hui Deng, Yajie Du, Daojin Fan, Ming Gong, et al · 2022
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Exploration of power side-channel vulnerabilities in quantum computer controllers. In Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security . 579–593
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Optimal mechanisms for quantum local differential privacy
Ji Guan. 2024 · 2024
Closest in time.
Quantum pufferfish privacy: A flexible privacy framework for quantum systems
Theshani Nuradha, Ziv Goldfeld, and Mark M Wilde. 2024 · 2024
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Quantum Differential Privacy in the Local Model
Armando Angrisani and Elham Kashefi. 2025 · 2025
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Contraction of private quantum channels and private quantum hypothesis testing
Theshani Nuradha and Mark M Wilde. 2025 · 2025
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