Publications

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Recent advances in nanotechnology have enabled researchers to control individual quantum mechanical objects with unprecedented accuracy, opening the door for both quantum and extreme-scale conventional computing applications. As these devices become larger and more complex, the ability to design them such that they can be simply controlled becomes a daunting and computationally infeasible task. Here, motivated by ideas from compressed sensing, we introduce a protocol for the Compressed Optimization of Device Architectures (CODA). It leads naturally to a metric for benchmarking device performance and optimizing device designs, and provides a scheme for automating the control of gate operations and reducing their complexity. Because CODA is computationally efficient, it is readily extensible to large systems. As a result, we demonstrate the CODA benchmarking and optimization protocols through simulations of up to eight quantum dots in devices that are currently being developed experimentally for quantum computation.

Here, a liquid bi-propellant rocket engine and supporting infrastructure has been de-signed, constructed, and tested at New Mexico Institute of Mining and Technology ina cooperative effort with Sandia National Laboratories. The modular engine designconsists of a head-end fuel-oxidizer injector, gaseous H2/02 torch ignitor, combustionchamber, and nozzle modules. The robust modular design allows for rapid config-uration changes and component replacement if damaged in testing.

Power will be a first-class operating constraint for Exascale computing. In order to manage power consumption of systems, measurement and control methods need to be developed. While several approaches have been developed by hardware manufacturers, they are vendor-specific and in some cases implementation-specific interfaces. Integrating all of the individual device level measurement and control functionality in a single system is a difficult task that requires system specific code. Sandia National Laboratories, in collaboration with many industry and academic partners, has developed a Power API specification, consisting of a broad range of interfaces spanning from low-level hardware to platform management and accounting. In order for many of the interfaces to be useful, especially at large scale, measurement data must be collected and control directives must be distributed in a scalable manner. This paper details the challenges of providing large scale power measurement and control and the scalable collection and control distribution architecture that is being integrated into the Power API reference implementation.

In this study, we have developed a conceptual design of a next-generation pulsed-power accelerator that is optmized for driving megajoule-class dynamic-material-physics experiments at pressures as high as 1 TPa. The design is based on an accelerator architecture that is founded on three concepts: single-stage electrical-pulse compression, impedance matching, and transit-time-isolated drive circuits. Since much of the accelerator is water insulated, we refer to this machine as Neptune. The prime power source of Neptune consists of 600 independent impedance-matched Marx generators. As much as 0.8 MJ and 20 MA can be delivered in a 300-ns pulse to a 16-mΩ physics load; hence Neptune is a megajoule-class 20-MA arbitrary waveform generator. Neptune will allow the international scientific community to conduct dynamic equation-of-state, phase-transition, mechanical-property, and other material-physics experiments with a wide variety of well-defined drive-pressure time histories. Because Neptune can deliver on the order of a megajoule to a load, such experiments can be conducted on centimeter-scale samples at terapascal pressures with time histories as long as 1 μs.

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The Security and Emergency Management (S&EM) Center at Sandia National Laboratories (SNL) is responsible for ensuring overall security for people, information, and facilities at SNL. The center runs a broad Security and Emergency Management Program in close cooperation with other organizations throughout SNL. The mission of the Security program is to minimize current and future security threats so that Sandia can protect, sustain and enhance SNL’s ability to function as a multidisciplinary national security laboratory. The mission of the Emergency Management program is to provide SNL with dedicated professionals who deliver safe, prompt, courteous, efficient emergency planning and response to fire-related incidents, hazardous materials, confined space, emergency medical emergencies, and non-emergency events to protect the workers, the public and the environment. They embrace mission success in the National Interest, actively supporting all Divisions. The Emergency Management (EM) Program’s vision is to be recognized by SNL/NM and the entire DOE complex as the model for superior emergency management services. Emergency Management plans to accomplish this vision through a leadership philosophy that promotes respect and mutual trust among all members through open and honest communication.

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