Play the Shannon Game With Language Models: A Human-Free Approach to Summary Evaluation

The goal of a summary is to concisely state the most important information in a document. With this principle in mind, we introduce new reference-free summary evaluation metrics that use a pretrained language model to estimate the information content shared between a document and its summary. These metrics are a modern take on the Shannon Game, a method for summary quality scoring proposed decades ago, where we replace human annotators with language models. We also view these metrics as an extension of BLANC, a recently proposed approach to summary quality measurement based on the performance of a language model with and without the help of a summary. Using transformer based language models, we empirically verify that our metrics achieve state-of-the-art correlation with human judgement of the summary quality dimensions of both coherence and relevance, as well as competitive correlation with human judgement of consistency and fluency.Comment: To appear at AAAI 202

Scaling Quantum Computers with Long Chains of Trapped Ions

Quantum computers promise to solve models of important physical processes, optimize complex cost functions, and challenge cryptography in ways that are intractable using current computers. In order to achieve these promises, quantum computers must both increase in size and decrease error rates. To increase the system size, we report on the design, construction, and operation of an integrated trapped ion quantum computer consisting of a chain of 15 171Yb+ ions with all-to-all connectivity and high-fidelity gate operations. In the process, we identify a physical mechanism that adversely affects gate fidelity in long ion chains. Residual heating of the ions from noisy electric fields creates decoherence due to the weak confinement of the ions transverse to a focused addressing laser. We demonstrate this effect in chains of up to 25 ions and present a model that accurately describes the observed decoherence. To mitigate this noise source, we first propose a new sympathetic cooling scheme to periodically re-cool the ions throughout a quantum circuit, and then demonstrate its capability in a proof-of-concept experiment. One path to suppress error rates in quantum computers is through quantum error correction schemes that combine multiple physical qubits into logical qubits that robustly store information within an entangled state. These extra degrees of freedom enable the detection and correction of errors. Fault-tolerant circuits contain the spread of errors while operating the logical qubit and are essential for realizing error suppression in practice. We demonstrate fault-tolerant preparation, measurement, rotation, and stabilizer measurement of a distance-3 Bacon-Shor logical qubit in our quantum computer. The result is an encoded logical qubit with error rates lower than the error of the entangling operations required to operate it

Design and Implementation of a Thermoelectric Cooling Solution for a CCD-based NUV Spectrograph

The Colorado Ultraviolet Transit Experiment (CUTE) is a 6U CubeSat designed to obtain transit spectra of more than ten close-orbiting exoplanets. To this end, CUTE houses a near-ultraviolet (~250 – 330 nm) spectrograph based around a novel rectangular Cassegrain telescope; the spectrograph sensor is an off-the-shelf Teledyne e2v CCD. To achieve desired spectral signal-to-noise ratio (SNR), dark current is reduced by cooling the CCD to a temperature of −50 °C with a thermoelectric cooler (TEC). The TEC is driven by a constant current buck converter with an H-bridge topology for bidirectional current control. The packaging of the CCD imposes a maximum time rate of change of temperature of 5 K/min. A cascaded software control loop (discussed here) was developed that constrains this time rate of change within allowable bounds while simultaneously driving the CCD temperature to a desired setpoint. Criteria for sizing a TEC to the application and initial laboratory results are discussed, as well as digital filtering methods employed and possible solutions to integral wind-up

Residential Medication Management Reviews and continuous polypharmacy among older Australian women

Background Polypharmacy is an important consideration for the provision of Residential Medication Management Reviews (RMMRs) among older women given their enhanced risk of medication-related problems and admission to residential aged care (RAC). Objectives To determine the prevalence of the use of RMMRs among older women in RAC, and the association between RMMRs and polypharmacy, medications, and costs. Setting Older Australian women aged 79–84 years in 2005 who had at least one Medicare Benefits Schedule and Pharmaceutical Benefits Scheme record, received a service in aged care, and consented to data linkage. Methods Generalised estimating equations were used to determine the association between polypharmacy and RMMRs, while adjusting for confounding variables. Main outcome measures Prevalence of the use of RMMRs among older women in RAC, association between RMMRs and polypharmacy, medications, and costs. Results Most participants did not have continuous polypharmacy and did not receive RMMRs from 2005 [451 (67.4%)] until 2017 [666 (66.6%)]. Participants with continuous polypharmacy were 17% more likely to receive a RMMR (risk ratio 1.17; 95% confidence interval 1.11, 1.25). Participants in their final year of life and residing in outer regional/remote/very remote Australia were less likely to receive RMMRs. Out-of-pocket medication costs increased over time, and alendronate and aspirin were common contributors to polypharmacy among participants who received RMMRs. Conclusion Polypharmacy was associated with receiving RMMRs and around two-thirds of women who are entitled to a RMMR never received one. There is potential to improve the use of medicines by increasing awareness of the service among eligible individuals, their carers and health care professional

The Colorado Ultraviolet Transit Experiment: The First Dedicated Ultraviolet Exoplanet Mission

The past few years of space mission development have seen an increase in the use of small satellites as platforms for dedicated astrophysical research; they offer unique capabilities for time-domain science and complementary advantages over large shared resource facilities like the Hubble Space Telescope, including: (1) low cost and relatively quick development timelines; (2) observing strategies dedicated to niche but important science questions; and (3) ample opportunity for students and early career scientists and engineers to be involved on the front lines of space mission development. The Colorado Ultraviolet Transit Experiment (CUTE) is a NASA-supported 6U CubeSat assembled and tested at the Laboratory for Atmospheric and Space Physics within the University of Colorado Boulder. It is designed to observe the evolving atmospheres on short-period exoplanets with a dedicated science mission unachievable by current and planned future space missions. CUTE operates with a bandpass of ∼2487 – 3376 Å and an average spectral resolution element of 3.9 Å. The mission launched in September of 2021 and is in the process of conducting transit spectroscopy of approximately one dozen short-period exoplanets during its primary mission. This proceeding describes the overall CUTE satellite program, including the mission development integration and testing, anticipated science return, and lessons learned to improve both universities’ and commercial companies’ ability to create and collaborate on successful academically and research-focused small satellite missions. While CubeSats are becoming increasingly accessible and utilized for scientific research and student education, CUTE serves as an example that university small satellite programs have specific needs to successfully and efficiently achieve both scientific and educational elements. These include (1) a minimum threshold of commercial-off-the-shelf product quality, performance, and support; (2) specific and timely guidelines from launch service providers regarding launch readiness and delivery requirements; (3) and sufficient funding to provide multi-disciplinary engineering and program management support across the developmental life-cycle of the mission

The fourth flight of CHESS: spectral resolution enhancements for high-resolution FUV spectroscopy

In this proceeding, we describe the scientific motivation and technical development of the Colorado Highresolution Echelle Stellar Spectrograph (CHESS), focusing on the hardware advancements and testing of components for the fourth and final launch of the payload (CHESS-4). CHESS is a far ultraviolet rocket-borne instrument designed to study the atomic-to-molecular transitions within translucent cloud regions in the interstellar medium. CHESS is an objective echelle spectrograph, which uses a mechanically-ruled echelle and a powered (f/12.4) cross-dispersing grating; it is designed to achieve a resolving power R > 100,000 over the band pass λλ 1000–1600 Å. CHESS-4 utilizes a 40 mm-diameter cross-strip anode readout microchannel plate detector, fabricated by Sensor Sciences LLC, to achieve high spatial resolution with high global count rate capabilities (∼ MHz). An error in the fabrication of the cross disperser limited the achievable resolution on previous launches of the payload to R ∼ 4000. To remedy this for CHESS-4, we physically stress the echelle grating, introducing a shallow toroidal curvature to the surface of the optic. Preliminary laboratory measurements of the resulting spectrum show a factor of 4–5 improvement to the resolving power. Results from final efficiency and reflectivity measurements for the optical components of CHESS-4 are presented, along with the pre-flight laboratory spectra and calibration results. CHESS-4 launched on 17 April 2018 aboard NASA/University of Colorado Boulder sounding rocket mission 36.333 UG. We present flight results for the observation of the γ Ara sightline