Author

R. Fleur

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Preprint Oct 2026

On the Computational Complexity of Blind Quantum Machine Learning

Can quantum advantages in computational efficiency coexist with quantum advantages in privacy? In this paper, we construct and use MasonQ, a universal brickwork transpiler, to answer this question with a resounding yes. We approach this question by bridging two seemingly disparate paradigms: universal blind quantum com...

R. Fleur, Tzula B. Propp, Sebastian Feld · 0 citations

Preprint Oct 2026

High-Fidelity Remote Graph State Preparation for Blind Quantum Computation

Measurement-based quantum computation (MBQC) relies on entangled graph states, yet existing remote state preparation (RSP) protocols prepare only separable states, requiring subsequent entangling gates on the remote server. Here, we introduce Remote Graph State Preparation (RGSP), a framework that prepares arbitrary gr...

Jia-Wei Cai, R. Fleur, Benedikt Tissot et al. · 0 citations