Differentially private quantum sensor network protocols are introduced that inject noise into the sensing Hamiltonian, achieving (O(1), δ)-differential privacy while retaining Heisenberg-limited MSE scaling under honest-fraction and common-source-of-randomness assumptions.
Farokhi, Tight sample complexity bounds for param- eter estimation under quantum differential privacy for qubits, IEEE Control Systems Letters9, 240 (2025)
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Differentially private quantum sensor networks
Differentially private quantum sensor network protocols are introduced that inject noise into the sensing Hamiltonian, achieving (O(1), δ)-differential privacy while retaining Heisenberg-limited MSE scaling under honest-fraction and common-source-of-randomness assumptions.