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ORNL has played a key role in developing novel Big Data toolkits in the context of syndromic disease surveillance. Our platform, the Oak Ridge Bio-surveillance Toolkit (ORBiT) enables large-scale analysis of heterogeneous data sources, including environmental, climate/weather related data, prescriptions records and other novel data streams emerging from social media (e.g., Twitter, Instagram). ORBiT is targeted at developing novel statistical and machine learning tools instead of acting as a central data collection interface from these heterogeneous resources. Additionally, it also provides an application programming interface (API) that can be used by end-users to target specific bio-surveillance applications. Machine learning tools are tightly integrated with visualization tools in a web-based framework to aid the end users or analysts in exploring potential links between heterogeneous data sets, detecting patterns/correlations across multiple data streams, identifying emerging disease outbreaks, forecasting emerging epidemics, and monitoring control strategies. ORBiT is implemented as a component-based, plug-and-play toolkit that exploits existing distributed cloud-based analytics frameworks.

The goal of the proposed work is to bring powerful, flexible analytics to the analysts’ fingertips.

This project develops a multi-scale anomaly detection algorithm for time-varying graph data.

Entangled photons possess many strange properties which make them invaluable tools in physics. This project seeks to push their entanglement to fundamental limits for new applications in quantum information processing.

Nonlinear interferometers, which use parametric amplifiers in place of beam splitters, can improve the signal to noise ratio of interferometric sensors by a factor of twice the power gain. Recently ORNL has realized a novel, inherently stable, nonlinear interferometer using nonlinear rubidium (Rb) vapor. This approach reduces the complexity and the size, weight and power requirements (SWAP) of earlier demonstrations. However, it is still constructed using bulk, free-space optics on a lab table. This project seeks to realize a reduced SWAP further and perform measurements to quantify its performance relative to other approaches.

We propose an entirely new experimental photonic qubit interface which will enable quantum connections between common material qubits such as ions or atoms.

Systems Engineering and Cybernetics Team

Localized electron emission from nanostructures can be achieved with the aid of excitation of plasmons with short optical pulses.

The main function of this team is perform design and analysis for a variety of systems and applications, including energy research (solar cells, reactors, transportation, and buildings), experimental installations of all types, centrifuge cascades for uranium enrichment and separation of stable isotopes, and industrial facilities. The analysis leads to improvement in performance and assessing risks from accidents or terrorist attacks.

Keep Information Safe at Sea with Quantum Physics