Efficient quantum process tomography for enabling scalable optical quantum computing

Optical quantum computers are gaining attention as a next-generation computing technology with high speed and scalability.
EDN

Scrub data with scale-invariant nonlinear digital filters

Data cleaning—automatically removing outliers (anomalous data points) and replacing them with values that are more representative—is another case that requires nonlinear filters. Figure 1, which ...
FiercePharma

Waters and Nonlinear Dynamics to Co-Develop Next Generation Research Solutions for Large-Scale, Complex Data Sets

Waters first introduced ion mobility to mass spectrometry with the introduction of the SYNAPT ® High Definition Mass Spectrometer™ (HDMS™) in 2007. Used in small molecule research, protein ...
JSTOR Daily

Nonlinear Kernel Density Estimation for Binned Data: Convergence in Entropy

This is a preview. Log in through your library . Abstract A method is proposed for creating a smooth kernel density estimate from a sample of binned data. Simulations indicate that this method ...
JSTOR Daily

Nonlinear Multichannel Algorithms for Estimating Sea Surface Temperature with AVHRR Satellite Data

The familiar linear multichannel sea surface temperature algorithms (MCSST) for estimating sea surface temperature with AVHRR satellite data describe the solution in terms of a constant gamma ...
Harvard Business School

Data-driven Equation Discovery Reveals Nonlinear Reinforcement Learning in Humans

LaFollette, Kyle J., Janni Yuval, Roey Schurr, David Melnikoff, and Amit Goldenberg. "Data-driven Equation Discovery Reveals Nonlinear Reinforcement Learning in Humans." Proceedings of the National ...