43 citations · 153 across the 8 of their papers we have counts for
6 papers · 1 filter
Demonstration of machine-learning-enhanced Bayesian quantum state estimation
Sanjaya Lohani, Joseph M. Lukens, Atiyya A. Davis +6
Machine learning (ML) has found broad applicability in quantum information science in topics as diverse as experimental design, state classification, and even studies on quantum fo…
Complete characterization of quantum correlations by randomized measurements
Nikolai Wyderka, Andreas Ketterer, Satoya Imai +5
The fact that quantum mechanics predicts stronger correlations than classical physics is an essential cornerstone of quantum information processing. Indeed, these quantum correlati…
Improving application performance with biased distributions of quantum states
Sanjaya Lohani, Joseph M. Lukens, Daniel E. Jones +3
We consider the properties of a specific distribution of mixed quantum states of arbitrary dimension that can be biased towards a specific mean purity. In particular, we analyze mi…
Exploring the relationship between the faithfulness and entanglement of two qubits
Gabriele Riccardi, Daniel E. Jones, Xiao-Dong Yu +2
A conceptually simple and experimentally prevalent class of entanglement witnesses, known as fidelity witnesses, detect entanglement via a state's fidelity with a pure reference st…
Exploring classical correlations in noise to recover quantum information using local filtering
Daniel E. Jones, Brian T. Kirby, Gabriele Riccardi +2
A general quantum channel consisting of a decohering and a filtering element carries one qubit of an entangled photon pair. As we apply a local filter to the other qubit, some mutu…
Tuning quantum channels to maximize polarization entanglement for telecom photon pairs
Daniel E. Jones, Brian T. Kirby, Michael Brodsky
Quantum networks entangle remote nodes by distributing quantum states, which inevitably suffer from decoherence while traversing quantum channels. Pertinent decoherence mechanisms…