QPLEX: Realizing the Integration of Quantum Computing into Combinatorial Optimization Software

Quantum computing has the potential to surpass the capabilities of current classical computers when solving complex problems. Combinatorial optimization has emerged as one of the key target areas for quantum computers as problems found in this field play a critical role in many different industrial application sectors (e.g., enhancing manufacturing operations or improving decision processes). Currently, there are different types of high-performance optimization software (e.g., ILOG CPLEX and Gurobi) that support engineers and scientists in solving optimization problems using classical computers. In order to utilize quantum resources, users require domain-specific knowledge of quantum algorithms, SDKs and libraries, which can be a limiting factor for any practitioner who wants to integrate this technology into their workflows. Our goal is to add software infrastructure to a classical optimization package so that application developers can interface with quantum platforms readily when setting up their workflows. This paper presents a tool for the seamless utilization of quantum resources through a classical interface. Our approach consists of a Python library extension that provides a backend to facilitate access to multiple quantum providers. Our pipeline enables optimization software developers to experiment with quantum resources selectively and assess performance improvements of hybrid quantum-classical optimization solutions.Comment: Accepted for the IEEE International Conference on Quantum Computing and Engineering (QCE) 202

The Emerging Scholarly Brain

It is now a commonplace observation that human society is becoming a coherent super-organism, and that the information infrastructure forms its emerging brain. Perhaps, as the underlying technologies are likely to become billions of times more powerful than those we have today, we could say that we are now building the lizard brain for the future organism.Comment: to appear in Future Professional Communication in Astronomy-II (FPCA-II) editors A. Heck and A. Accomazz

Formation of calcium sulfate through the aggregation of sub-3 nanometre primary species

The formation pathways of gypsum remain uncertain. Here, using truly in situ and fast time-resolved small-angle X-ray scattering, we quantify the four-stage solution-based nucleation and growth of gypsum (CaSO4 ·2H2O), an important mineral phase on Earth and Mars. The reaction starts through the fast formation of well-defined, primary species of <3 nm in length (stage I), followed in stage II by their arrangement into domains. The variations in volume fractions and electron densities suggest that these fast forming primary species contain Ca-SO4-cores that self-assemble in stage III into large aggregates. Within the aggregates these well-defined primary species start to grow (stage IV), and fully crystalize into gypsum through a structural rearrangement. Our results allow for a quantitative understanding of how natural calcium sulfate deposits may form on Earth and how a terrestrially unstable phase-like bassanite can persist at low-water activities currently dominating the surface of Mars

Genetic identification and pedigree control on horses through microsatellite DNA sequences

Ponencia publicada en ITEA, vol.104El Laboratorio Central de Veterinaria de Algete (LCV) ha sido nombrado centro de referencia para la realización de análisis de marcadores genéticos y la homologación de las técnicas para la identificación y el control de filiación en équidos, con el fin de garantizar las genealogías de los animales inscritos en los libros genealógicos (Real Decreto 662/2007). A partir de ese momento, se ha desarrollado un protocolo de trabajo que cubre la totalidad de los pasos a seguir desde la recogida de muestras en el campo hasta la recepción final de los resultados por parte de la asociación de ganaderos. La metodología empleada utiliza los medios más avanzados y tiene establecidos una serie de puntos de control para poder detectar los errores que pudieran producirse tanto en la recogida de muestras como en la transmisión de la información que a éstas debe acompañar para su posterior análisis. La optimización de la metodología empleada posibilita procesar un número elevado de muestras en un corto espacio de tiempo con una gran fiabilidad en los resultados obtenidos. El análisis al que se someten las muestras incluye 18 marcadores microsatélite de ADN, amplificados en una reacción única de PCR, elegidos de la lista propuesta por la ISAG (Intenational Society for Animal Genetics). Se dispone, además, de dos paneles adicionales compuestos de 22 y 8 nuevos marcadores respectivamente, que son utilizados en los casos en que se necesita una mayor capacidad de exclusión o para llevar a cabo estudios de genealogías con datos de progenitores procedentes de otros laboratorios donde utilicen estos marcadores, algo bastante habitual en las razas equinas en las que existe gran movimiento de animales entre distintos países.Central Veterinary Laboratory of Algete (LCV) has been appointed as a referral center for the analysis of genetic markers and certification of techniques for the identification and genealogical control in horses, in order to guarantee the genealogies of the animals entered in studbooks (Royal Decree 662/2007). Since then, it has developed a working protocol covering all the steps to follow from the collection of samples in the field until receipt of the final results by the breeders’ association. The methodology uses the most advanced and has established a series of checkpoints in order to detect any errors that may occur in both the sample collection and transmission of information that must accompany them for later analysis. The optimization methodology enables to process a large number of samples in a short time with great reliability in the results. The analysis that the samples are submitted includes 18 microsatellite DNA markers, amplified in a single PCR reaction, chosen from the list proposed by the ISAG (International Society for Animal Genetics). It also provides two additional panels composed of 8 and 22 new markers, respectively, which are used in cases where there is a need for increased capacity of exclusion or to conduct studies pedigrees with data from parents from other laboratories where use these markers, which is quite common in horse races where there is great movement of animals between countries

Multilevel HfO2-based RRAM devices for low-power neuromorphic networks

Training and recognition with neural networks generally require high throughput, high energy efficiency, and scalable circuits to enable artificial intelligence tasks to be operated at the edge, i.e., in battery-powered portable devices and other limited-energy environments. In this scenario, scalable resistive memories have been proposed as artificial synapses thanks to their scalability, reconfigurability, and high-energy efficiency, and thanks to the ability to perform analog computation by physical laws in hardware. In this work, we study the material, device, and architecture aspects of resistive switching memory (RRAM) devices for implementing a 2-layer neural network for pattern recognition. First, various RRAM processes are screened in view of the device window, analog storage, and reliability. Then, synaptic weights are stored with 5-level precision in a 4 kbit array of RRAM devices to classify the Modified National Institute of Standards and Technology (MNIST) dataset. Finally, classification performance of a 2-layer neural network is tested before and after an annealing experiment by using experimental values of conductance stored into the array, and a simulation-based analysis of inference accuracy for arrays of increasing size is presented. Our work supports material-based development of RRAM synapses for novel neural networks with high accuracy and low-power consumption. (C) 2019 Author(s)

Intelligent text retrieval in the NASA astrophysics data system

In collaboration with the NASA Scientific and Technical Information System, the NASA Astrophysics Data System (ADS) is establishing a service to provide access to the literature abstracts relevant to astronomy in the NASA Scientific and Technical Aerospace Reports and the International Aerospace Abstracts (together also known as NASA RECON). The service will include several sophisticated retrieval methods, which may be combined. Included will be methods to perform relevancy ranking from natural language queries, synonym and misspelling recognition, author name translation (e.g. for multiple transliteration possibilities), and other features. The capabilities of the current release will be shown, and the plans for the near future will be discussed

Diversity and abundance of planktonic communities in the deep waters off the galician coast (NW Spain)

Comunicación oralPlanktonic communities play pivotal roles within marine ecosystems, affecting their structure, functioning and services. Although they have been extensively studied in the epipelagic ocean, the knowledge about these communities in the dark ocean is rather short. In this study, we explored patterns of abundance and biomass of a wide variety of taxonomic groups from the prokaryotes to mesozooplankton in the epi-, meso- and bathypelagic waters off the Galician coast. As expected, ciliate and zooplankton abundances are depleted in the bathypelagic waters relative to abundances of prokaryotes and nanoflagellates. The rate of decrease of zooplankton biomass with depth is twice as that of prokaryotes and nanoflagellates, indicating that relative contribution of mesozooplancton to the total plankton biomass decreases with depth. Overall, the diversity of prokaryotes in the dark ocean is almost as high as in the epipelagic layer, although the phylotypes are different. The major fraction of epipelagic ciliates belongs to alloricate genera, whereas tintinnids dominate the deep ciliate populations. Small copepods were dominant in the epi- and meso-pelagic zone. By contrast, foraminiferans, big copepods and myctophic fishes were more abundant in the deep ocean