10 citations · 21 across the 12 of their papers we have counts for
3 papers · 1 filter
Deployed quantum link characterization via Bayesian ancilla-assisted process tomography
Arefur Rahman, Noah I. Wasserbeck, Zachary Goisman +5
The development of large-scale quantum networks requires reliable quantum channels, the quality of which can be quantified by the framework of quantum process tomography. In this w…
Building a controlled-NOT gate between polarization and frequency
Hsuan-Hao Lu, Joseph M. Lukens, Muneer Alshowkan +2
By harnessing multiple degrees of freedom (DoFs) within a single photon, controlled quantum unitaries, such as the two-qubit controlled-NOT (CNOT) gate, play a pivotal role in adva…
Comparison of parallel SMC and MCMC for Bayesian deep learning
Xinzhu Liang, Joseph M. Lukens, Sanjaya Lohani +4
This work systematically compares parallel implementations of consistent (asymptotically unbiased) Bayesian deep learning algorithms: sequential Monte Carlo sampler (SMC$_\parallel…