107 research outputs found
Architectural approaches to a science network software-defined exchange
To interconnect research facilities across wide geographic areas, network operators deploy science networks, also referred to as Research and Education (R&E) networks. These networks allow experimenters to establish dedicated circuits between research facilities for transferring large amounts of data, by using advanced reservation systems. Intercontinental dedicated circuits typically require coordination between multiple administrative domains, which need to reach an agreement on a suitable advance reservation. To enhance provisioning capabilities of multi-domain advance reservations, we propose an architecture for end-to-end service orchestration in multi-domain science networks that leverages software-defined networking (SDN) and software-defined exchanges (SDX) for providing multi-path, multi-domain advance reservations. Our simulations show our orchestration architecture increases the reservation success rate. We evaluate our solution using GridFTP, one of the most popular tools for data transfers in the scientific community. Additionally, we propose an interface that domain scientists can use to request science network services from our orchestration framework. Furthermore, we propose a federated auditing framework (FAS) that allows an SDX to verify whether the configurations requested by a user are correctly enforced by participating SDN domains, whether the configurations requested are correctly removed after their expiration time, and whether configurations exist that are performing non-requested actions. We also propose an architecture for advance reservation access control using SDN and tokens.Ph.D
Towards Distributed Quantum Computing by Qubit and Gate Graph Partitioning Techniques
Distributed quantum computing is motivated by the difficulty in building
large-scale, individual quantum computers. To solve that problem, a large
quantum circuit is partitioned and distributed to small quantum computers for
execution. Partitions running on different quantum computers share quantum
information using entangled Bell pairs. However, entanglement generation and
purification introduces both a runtime and memory overhead on distributed
quantum computing. In this paper we study that trade-off by proposing two
techniques for partitioning large quantum circuits and for distribution to
small quantum computers. Our techniques map a quantum circuit to a graph
representation. We study two approaches: one that considers only gate
teleportation, and another that considers both gate and state teleportation to
achieve the distributed execution. Then we apply the METIS graph partitioning
algorithm to obtain the partitions and the number of entanglement requests
between them. We use the SeQUeNCe quantum communication simulator to measure
the time required for generating all the entanglements required to execute the
distributed circuit. We find that the best partitioning technique will depend
on the specific circuit of interest.Comment: Presented at IEEE Quantum Week 2023 (QCE23
Leveraging Network Programmability and In-network Computing for Streaming Analysis of Huge Data (White Paper)
Data Acquisition Protocols and Reporting Standards for Studies of the Electrochemical Reduction of Carbon Dioxide
Objective evaluation of the performance of electrocatalysts for CO_2 reduction has been complicated by a lack of standardized methods for measuring and reporting activity data. In this perspective, we advocate that standardizing these practices can aid in advancing research efforts toward the development of efficient and selective CO_2 reduction electrocatalysts. Using information taken from experimental studies, we identify variables that influence the measured activity of CO_2 reduction electrocatalysts and propose procedures to account for these variables in order to improve the accuracy and reproducibility of reported data. We recommend that catalysts be measured under conditions which do not introduce artifacts from impurities, from either the electrolyte or counter electrode, and advocate the acquisition of data measured in the absence of mass transport effects. Furthermore, measured rates of electrochemical reactions should be normalized to both the geometric electrode area as well as the electrochemically active surface area to facilitate the comparison of reported catalysts with those previously known. We demonstrate that, when these factors are accounted for, the CO_2 reduction activities of Ag and Cu measured in different laboratories exhibit little difference. Adoption of the recommendations presented in this perspective would greatly facilitate the identification of superior catalysts for CO_2 reduction arising solely from changes in their composition and pretreatment
Data Acquisition Protocols and Reporting Standards for Studies of the Electrochemical Reduction of Carbon Dioxide
Objective evaluation of the performance of electrocatalysts for CO_2 reduction has been complicated by a lack of standardized methods for measuring and reporting activity data. In this perspective, we advocate that standardizing these practices can aid in advancing research efforts toward the development of efficient and selective CO_2 reduction electrocatalysts. Using information taken from experimental studies, we identify variables that influence the measured activity of CO_2 reduction electrocatalysts and propose procedures to account for these variables in order to improve the accuracy and reproducibility of reported data. We recommend that catalysts be measured under conditions which do not introduce artifacts from impurities, from either the electrolyte or counter electrode, and advocate the acquisition of data measured in the absence of mass transport effects. Furthermore, measured rates of electrochemical reactions should be normalized to both the geometric electrode area as well as the electrochemically active surface area to facilitate the comparison of reported catalysts with those previously known. We demonstrate that, when these factors are accounted for, the CO_2 reduction activities of Ag and Cu measured in different laboratories exhibit little difference. Adoption of the recommendations presented in this perspective would greatly facilitate the identification of superior catalysts for CO_2 reduction arising solely from changes in their composition and pretreatment
Picosecond Synchronization of Photon Pairs through a Fiber Link between Fermilab and Argonne National Laboratories
We demonstrate a three-node quantum network for C-band photon pairs using 2
pairs of 59 km of deployed fiber between Fermi and Argonne National
Laboratories. The C-band pairs are directed to nodes using a standard
telecommunication switch and synchronized to picosecond-scale timing resolution
using a coexisting O- or L-band optical clock distribution system. We measure a
reduction of coincidence-to-accidental ratio (CAR) of the C-band pairs from 51
2 to 5.3 0.4 due to Raman scattering of the O-band clock pulses.
Despite this reduction, the CAR is nevertheless suitable for quantum networks
The state of the Martian climate
60°N was +2.0°C, relative to the 1981–2010 average value (Fig. 5.1). This marks a new high for the record. The average annual surface air temperature (SAT) anomaly for 2016 for land stations north of starting in 1900, and is a significant increase over the previous highest value of +1.2°C, which was observed in 2007, 2011, and 2015. Average global annual temperatures also showed record values in 2015 and 2016. Currently, the Arctic is warming at more than twice the rate of lower latitudes
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