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Bayesian tomography of high-dimensional on-chip biphoton frequency combs with randomized measurements
Owing in large part to the advent of integrated biphoton frequency combs, recent years have
witnessed increased attention to quantum information processing in the frequency domain …
witnessed increased attention to quantum information processing in the frequency domain …
Coexistent quantum channel characterization using spectrally resolved Bayesian quantum process tomography
The coexistence of quantum and classical signals over the same optical fiber with minimal
degradation of the transmitted quantum information is critical for operating large-scale …
degradation of the transmitted quantum information is critical for operating large-scale …
Accelerating ultrafast spectroscopy with compressive sensing
Ultrafast spectroscopy is an important tool for studying photoinduced dynamical processes
in atoms, molecules, and nanostructures. Typically, the time to perform these experiments …
in atoms, molecules, and nanostructures. Typically, the time to perform these experiments …
Sample-efficient adaptive calibration of quantum networks using Bayesian optimization
All physical systems employed for quantum information tasks must act as unbiased carriers
of encoded quantum states. Ensuring such indistinguishability of information carriers is a …
of encoded quantum states. Ensuring such indistinguishability of information carriers is a …
Dimension-adaptive machine learning-based quantum state reconstruction
We introduce an approach for performing quantum state reconstruction on systems of n
qubits using a machine learning-based reconstruction system trained exclusively on m …
qubits using a machine learning-based reconstruction system trained exclusively on m …
Bayesian inference for plasmonic nanometrology
We introduce a Bayesian method for the characterization of plasmonic nanoparticles, which
is applicable to both near-and far-field problems. Designed to combine data generated from …
is applicable to both near-and far-field problems. Designed to combine data generated from …
Full quantum state tomography of high-dimensional on-chip biphoton frequency combs with randomized measurements
Owing in large part to the advent of integrated biphoton frequency combs (BFCs), recent
years have witnessed increased attention to quantum information processing in the …
years have witnessed increased attention to quantum information processing in the …
Compressed sensing for scanning tunnel microscopy imaging of defects and disorder
Compressed sensing (CS) is a valuable technique for reconstructing measurements in
numerous domains. CS has not yet gained widespread adoption in scanning tunneling …
numerous domains. CS has not yet gained widespread adoption in scanning tunneling …
Coexistent quantum channel characterization using quantum process tomography with spectrally resolved detection
The coexistence of classical and quantum signals over the same optical fiber is critical for
quantum networks operating within the existing communications infrastructure. Here, we …
quantum networks operating within the existing communications infrastructure. Here, we …
Bayesian reconstruction of biphoton frequency correlations
Bayesian reconstruction of biphoton frequency correlations Page 1 Bayesian reconstruction of
biphoton frequency correlations Emma M. Simmerman,1 Hsuan-Hao Lu,2 Andrew M. Weiner,2 …
biphoton frequency correlations Emma M. Simmerman,1 Hsuan-Hao Lu,2 Andrew M. Weiner,2 …