1,256 research outputs found
The Road to Quantum Computational Supremacy
We present an idiosyncratic view of the race for quantum computational
supremacy. Google's approach and IBM challenge are examined. An unexpected
side-effect of the race is the significant progress in designing fast classical
algorithms. Quantum supremacy, if achieved, won't make classical computing
obsolete.Comment: 15 pages, 1 figur
The Configurable SAT Solver Challenge (CSSC)
It is well known that different solution strategies work well for different
types of instances of hard combinatorial problems. As a consequence, most
solvers for the propositional satisfiability problem (SAT) expose parameters
that allow them to be customized to a particular family of instances. In the
international SAT competition series, these parameters are ignored: solvers are
run using a single default parameter setting (supplied by the authors) for all
benchmark instances in a given track. While this competition format rewards
solvers with robust default settings, it does not reflect the situation faced
by a practitioner who only cares about performance on one particular
application and can invest some time into tuning solver parameters for this
application. The new Configurable SAT Solver Competition (CSSC) compares
solvers in this latter setting, scoring each solver by the performance it
achieved after a fully automated configuration step. This article describes the
CSSC in more detail, and reports the results obtained in its two instantiations
so far, CSSC 2013 and 2014
Verilog implementation of a low-cost vector AI accelerator and integration in a RISC-V processor
El acelerador SPARROW AI portátil y de bajo costo se propuso y demostró recientemente en VHDL en dos procesadores espaciales, el LEON3 y el NOEL-V. En este trabajo de fin de grado se implementa SPARROW en SystemVerilog y se integra con un procesador RISC-V escrito en SystemVerilog, el SweRV Core EH1. Esta implementación proporciona tres resultados importantes. Demuestra la portabilidad de SPARROW, proporciona una extensión útil a un procesador de grado industrial existente y nos brinda la capacidad de comparar las implementaciones de SPARC y RISC-V. Los resultados obtenidos demuestran que SPARROW puede proporcionar aceleraciones significativas también en el núcleo EH1 de doble emisión.The low-cost and portable SPARROW AI accelerator has been recently proposed and demonstrated in VHDL in two space processors, the LEON3 and NOEL-V. In this Bachelor's thesis, SPARROW is implemented in SystemVerilog and is integrated with a RISC-V processor written in SystemVerilog, the SweRV Core EH1. This implementation provides three important results. It proves the portability of SPARROW, provides a useful extension to an existing industrial grade processor, and give us the ability to compare the SPARC and RISC-V implementations. The obtained results demonstrate that SPARROW can provide significant speedups also in the dual issue EH1 core
Lightning Imaging Sensor (LIS) for the Earth Observing System
Not only are scientific objectives and instrument characteristics given of a calibrated optical LIS for the EOS but also for the Tropical Rainfall Measuring Mission (TRMM) which was designed to acquire and study the distribution and variability of total lightning on a global basis. The LIS can be traced to a lightning mapper sensor planned for flight on the GOES meteorological satellites. The LIS consists of a staring imager optimized to detect and locate lightning. The LIS will detect and locate lightning with storm scale resolution (i.e., 5 to 10 km) over a large region of the Earth's surface along the orbital track of the satellite, mark the time of occurrence of the lightning, and measure the radiant energy. The LIS will have a nearly uniform 90 pct. detection efficiency within the area viewed by the sensor, and will detect intracloud and cloud-to-ground discharges during day and night conditions. Also, the LIS will monitor individual storms and storm systems long enough to obtain a measure of the lightning flashing rate when they are within the field of view of the LIS. The LIS attributes include low cost, low weight and power, low data rate, and important science. The LIS will study the hydrological cycle, general circulation and sea surface temperature variations, along with examinations of the electrical coupling of thunderstorms with the ionosphere and magnetosphere, and observations and modeling of the global electric circuit
Quantum tomography based on principles of completeness, adequacy and fidelity
In this report we present a general approach for estimating quantum circuits
by means of measurements. We apply the developed general approach for
estimating the quality of superconducting and optical quantum chips. Using the
methods of quantum states and processes tomography developed in our previous
works, we have defined the adequate models of the states and processes under
consideration.Comment: 9 pages, 7 figure
Programmable two-photon quantum interference in channels in opaque scattering media
We investigate two-photon quantum interference in an opaque scattering medium
that intrinsically supports transmission channels. By adaptive spatial
phase-modulation of the incident wavefronts, the photons are directed at
targeted speckle spots or output channels. From experimentally available
coupled channels, we select two channels and enhance their transmission, to
realize the equivalent of a fully programmable beam splitter. By
sending pairs of single photons from a parametric down-conversion source
through the opaque scattering medium, we observe two-photon quantum
interference. The programmed beam splitter need not fulfill energy conservation
over the two selected output channels and hence could be non-unitary.
Consequently, we have the freedom to tune the quantum interference from
bunching (Hong-Ou-Mandel-like) to antibunching. Our results establish opaque
scattering media as a platform for high-dimensional quantum interference that
is notably relevant for boson sampling and physical-key-based authentication
Computing at massive scale: Scalability and dependability challenges
Large-scale Cloud systems and big data analytics frameworks are now widely used for practical services and applications. However, with the increase of data volume, together with the heterogeneity of workloads and resources, and the dynamic nature of massive user requests, the uncertainties and complexity of resource management and service provisioning increase dramatically, often resulting in poor resource utilization, vulnerable system dependability, and user-perceived performance degradations. In this paper we report our latest understanding of the current and future challenges in this particular area, and discuss both existing and potential solutions to the problems, especially those concerned with system efficiency, scalability and dependability. We first introduce a data-driven analysis methodology for characterizing the resource and workload patterns and tracing performance bottlenecks in a massive-scale distributed computing environment. We then examine and analyze several fundamental challenges and the solutions we are developing to tackle them, including for example incremental but decentralized resource scheduling, incremental messaging communication, rapid system failover, and request handling parallelism. We integrate these solutions with our data analysis methodology in order to establish an engineering approach that facilitates the optimization, tuning and verification of massive-scale distributed systems. We aim to develop and offer innovative methods and mechanisms for future computing platforms that will provide strong support for new big data and IoE (Internet of Everything) applications
Cooperative Self-Scheduling Secure Routing Protocol for Efficient Communication in MANET
In wireless transmission, a Mobile Ad-hoc Network (MANET) contains many mobile nodes that can communicate without needing base stations. Due to the highly dynamic nature of wireless, MANETs face several issues, like malicious nodes making packet loss, high energy consumption, and security. Key challenges include efficient clustering and routing with optimal energy efficiency for Quality of Service (QoS) performance. To combat these issues, this novel presents Cooperative Self-Scheduling Secure Routing Protocol (CoS3RP) for efficient scheduling for proficient packet transmission in MANET. Initially, we used Elite Sparrow Search Algorithm (ESSA) for identifies the Cluster Head (CH) and form clusters. The Multipath Optimal Distance Selection (MODS) technique is used to find the multiple routes for data transmission. Afterward, the proposed CoS3RP transmits the packets based on each node authentication. The proposed method for evaluating and selecting efficient routing and data transfer paths is implemented using the Network simulator (NS2) tool, and the results are compared with other methods. Furthermore, the proposed well performs in routing performance, security, latency and throughput
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