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16 papers · 1 filter
Machine learning for discriminating quantum measurement trajectories and improving readout
Easwar Magesan, Jay M. Gambetta, A. D. Córcoles +1
High-fidelity measurements are important for the physical implementation of quantum information protocols. Current methods for classifying measurement trajectories in superconducti…
The Mass Profile and Shape of Bars in the Spitzer Survey of Stellar Structure in Galaxies (S4G): Search for an Age Indicator for Bars
Taehyun Kim, Kartik Sheth, Dimitri A. Gadotti +24
We have measured the radial light profiles and global shapes of bars using two-dimensional 3.6 image decompositions for 144 face-on barred galaxies from the Spitzer Survey of…
Convex Optimization for Big Data
Volkan Cevher, Stephen Becker, Mark Schmidt
This article reviews recent advances in convex optimization algorithms for Big Data, which aim to reduce the computational, storage, and communications bottlenecks. We provide an o…
Adaptive Sensing Resource Allocation Over Multiple Hypothesis Tests
Dennis Wei
This paper considers multiple binary hypothesis tests with adaptive allocation of sensing resources from a shared budget over a small number of stages. A Bayesian formulation is pr…
Shrinking Galaxy Disks with Fountain-Driven Accretion from the Halo
Bruce G. Elmegreen, Curtis Struck, Deidre A. Hunter
Star formation in most galaxies requires cosmic gas accretion because the gas consumption time is short compared to the Hubble time. This accretion presumably comes from a combinat…
Optimized pulse shapes for a resonator-induced phase gate
Andrew W. Cross, Jay M. Gambetta
The resonator-induced phase gate is a multi-qubit controlled-phase gate for fixed-frequency superconducting qubits. Through off-resonant driving of a bus resonator, statically coup…