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- Massachusetts Institute of TechnologyUS375 papers
- Harvard UniversityUS56 papers
- Center for Astrophysics Harvard & SmithsonianUS28 papers
- MIT Computer Science and Artificial Intelligence LaboratoryUS17 papers
- Stanford UniversityUS16 papers
- California Institute of TechnologyUS15 papers
- University of Maryland, College ParkUS14 papers
- Boston UniversityUS13 papers
- University of WashingtonUS13 papers
- University of WaterlooCA12 papers
- Goddard Space Flight CenterUS11 papers
- Kavli Institute for Particle Astrophysics and CosmologyUS11 papers
14 papers · 1 filter
Improving quantum gate fidelities by using a qubit to measure microwave pulse distortions
Simon Gustavsson, Olger Zwier, Jonas Bylander +5
We present a new method for determining pulse imperfections and improving the single-gate fidelity in a superconducting qubit. By applying consecutive positive and negative pul…
Characterizing the Optical Variability of Bright Blazars: Variability-Based Selection of Fermi AGN
John J. Ruan, Scott F. Anderson, Chelsea L. MacLeod +8
We investigate the use of optical photometric variability to select and identify blazars in large-scale time-domain surveys, in part to aid in the identification of blazar counterp…
Compressive Sensing with Local Geometric Features
Rishi Gupta, Piotr Indyk, Eric Price +1
We propose a framework for compressive sensing of images with local distinguishable objects, such as stars, and apply it to solve a problem in celestial navigation. Specifically, l…
Increase of SERS Signal Upon Heating or Exposure to a High-Intensity Laser Field: Benzenethiol on an AgFON Substrate
Roshan L. Aggarwal, Lewis W. Farrar, Semion K. Saikin
The surface-enhanced Raman scattering (SERS) signal from an AgFON plasmonic substrate, recoated with benzenethiol, was observed to increase by about 100% upon heating for 3.5 min a…
Predicting the behavior of interacting humans by fusing data from multiple sources
Erik J. Schlicht, Ritchie Lee, David H. Wolpert +2
Multi-fidelity methods combine inexpensive low-fidelity simulations with costly but high-fidelity simulations to produce an accurate model of a system of interest at minimal cost.…
A Spectral Graph Uncertainty Principle
Ameya Agaskar, Yue M. Lu
The spectral theory of graphs provides a bridge between classical signal processing and the nascent field of graph signal processing. In this paper, a spectral graph analogy to Hei…