6 citations · 20 across the 20 of their papers we have counts for
3 papers · 1 filter
Performance Guarantees for Quantum Neural Estimation of Entropies
Sreejith Sreekumar, Ziv Goldfeld, Mark M. Wilde
Estimating quantum entropies and divergences is an important problem in quantum physics, information theory, and machine learning. Quantum neural estimators (QNEs), which utilize a…
Quantum Neural Estimation of Entropies
Ziv Goldfeld, Dhrumil Patel, Sreejith Sreekumar +1
Entropy measures quantify the amount of information and correlation present in a quantum system. In practice, when the quantum state is unknown and only copies thereof are availabl…
Quantum Pufferfish Privacy: A Flexible Privacy Framework for Quantum Systems
Theshani Nuradha, Ziv Goldfeld, Mark M. Wilde
We propose a versatile privacy framework for quantum systems, termed quantum pufferfish privacy (QPP). Inspired by classical pufferfish privacy, our formulation generalizes and add…