Measurable Outcomes Research Articles

Measuring Housing Inequality with the Value of Freedom in the Capability Approach: Proposal and Demonstration

ABSTRACT An ongoing question in capability research is how to incorporate the value of freedom into the measurement of inequality. This article proposes an approach to answering this question in the housing domain and its operationalisation. The approach places an evaluation focus to the conditions constraining or expanding housing choices in the dimensions of opportunity, security, and ability. For operationalisation, the study designed a measurement of multidimensional housing disadvantages (MHDs) using the Alkire-Foster method and data from the Netherlands. Indicators include the entitlement to housing tenure options, vulnerability in housing cost payments, and ability to plan finance for housing. The measurement outcome demonstrates that the MHDs measurement can provide information on whose housing choices are more intensely constrained, thus having a lower capability for housing, and whose current housing situation is likely a result of coerced choices. The findings indicate that adults living with housemates or family (latent households), youths, and those with precarious jobs have a significantly lower capability for housing compared to other population groups. This article also compares the freedom-oriented measure of MHDs with functioning-oriented and other conventional measures and discusses its distinguishing properties. This comparison suggests a need to revisit current policy priorities in addressing housing inequality.

Topological error correcting processes from fixed-point path integrals

We propose a unifying paradigm for analyzing and constructing topological quantum error correcting codes as dynamical circuits of geometrically local channels and measurements. To this end, we relate such circuits to discrete fixed-point path integrals in Euclidean spacetime, which describe the underlying topological order: If we fix a history of measurement outcomes, we obtain a fixed-point path integral carrying a pattern of topological defects. As an example, we show that the stabilizer toric code, subsystem toric code, and CSS Floquet code can be viewed as one and the same code on different spacetime lattices, and the honeycomb Floquet code is equivalent to the CSS Floquet code under a change of basis. We also use our formalism to derive two new error-correcting codes, namely a Floquet version of the 3+1-dimensional toric code using only 2-body measurements, as well as a dynamic code based on the double-semion string-net path integral.

Unlocking Business Potential: Artificial Intelligence and Machine Learning Capabilities in SAP S/4HANA

This article explores the transformative role of artificial intelligence (AI) and machine learning (ML) capabilities within SAP S/4HANA, a leading digital platform for enterprise resource planning (ERP). This article elucidates how AI and ML technologies embedded in SAP S/4HANA empower businesses to drive innovation, optimize operations, and gain actionable insights. From predictive analytics and intelligent automation to advanced decision support systems, SAP S/4HANA's AI and ML capabilities are revolutionizing the way organizations operate in today's fast-paced business landscape. SAP S/4HANA, a leading enterprise resource planning (ERP) platform, stands at the forefront of this digital transformation, offering a comprehensive suite of AI and ML capabilities designed to empower businesses to optimize operations, enhance decision-making, and unlock new growth opportunities. This article provides a succinct overview of the transformative role of AI and ML in SAP S/4HANA, highlighting key functionalities and their potential impact on business operations. SAP S/4HANA's AI and ML capabilities encompass a range of functionalities, including predictive analytics, intelligent automation, and decision support systems. Intelligent automation features, such as robotic process automation (RPA) and machine learning-based algorithms, automate manual tasks, reduce errors, and accelerate decision- making processes, thereby enhancing operational efficiency and agility. Moreover, SAP S/4HANA's decision support systems leverage real-time data insights to provide actionable recommendations to users across the organization, enabling organizations to make informed decisions and drive strategic initiatives. Through real- world examples and case studies, this article illustrates how organizations across industries are leveraging SAP S/4HANA's AI and ML capabilities to drive business transformation, streamline processes, and achieve measurable outcomes. This article aims to provide a comprehensive exploration of the AI and ML capabilities within SAP S/4HANA, examining their potential impact on business operations and outlining best practices for implementation and utilization. Through real-world examples, case studies, and expert insights, readers will gain a deeper understanding of how SAP S/4HANA's AI and ML functionalities can unlock new opportunities, drive innovation, and propel business growth.

The Impact of the COVID-19 Pandemic on the Quality of Examination in Eye Clinics in the Czech Republic - Questionnaire Study.

The aim of the study was to map the behavior of ophthalmologists regarding protective equipment during the COVID-19 pandemic (coronavirus disease 2019), both during the time of the mandatory restrictive measures and after their relaxation. Another aim was to evaluate the awareness of ophthalmologists in the Czech Republic about the possible impact of nose and mouth protective measures (masks, respirators) on the quality of eye examinations, especially on the results of standard automated perimetry (SAP) and intraocular pressure (IOP) measurement. As part of two professional ophthalmological events in the Czech Republic, which took place in 2022, we obtained and evaluated data from the ophthalmologists in attendance using a questionnaire. We evaluated demographic parameters, frequency of use and type of nose and mouth protective equipment and their influence on the quality of ophthalmological examination as well as the awareness of ophthalmologists about their possible influence on the outcome of SAP and IOP measurements. We obtained data from a total of 212 respondents (148 women, 44 men, in 20 cases gender was not stated). In 91.5% of cases, ophthalmologists agreed that the use of respirators and masks makes ophthalmological examination more difficult. The most common problems were eyepiece fogging (85.8%), examination lens fogging (85.8%), and lens fogging when spectacles correction was prescribed (79.2%). The respondents most often combated these problems either by completely removing the respirator (24.1%) or at least by pulling it under the nose (39.2%). At the time when the measures were relaxed, significantly more men did not use any nose and mouth protection at all during ophthalmological examinations (15.8% of men vs. 4.2% of women; p = 0.032). An alarming finding was the fact that 35.6% of respondents did not know whatsoever whether the nurse was performing a perimetry examination on a patient with a respirator/mask or without protective equipment, i.e. they were not aware whatsoever of the possible formation of artifacts. Only 21.2% of respondents were aware of the possible difficulties of measuring IOP while wearing a respirator, while 59.9% of respondents were not aware of this risk (39.6% had never considered this problem, 20.3% of respondents were convinced that a respirator could not have an effect on the measurement of IOP). The use of nose and mouth protective equipment clearly affects the ophthalmological examination and makes it more difficult. Although ophthalmologists belong to a group at high risk for the possible transmission of infection in the performance of their profession, they often removed nose and mouth protection in an effort to eliminate fogging of eyepieces and examination lenses. The awareness of ophthalmologists regarding the possible influence on the results of SAP and IOP measurement by wearing a respirator was low in our questionnaire survey. It is therefore advisable to discuss this issue more widely and warn doctors about these risks.

Teleportation of Post-Selected Quantum States

Teleportation allows Alice to send a pre-prepared quantum state to Bob using only pre-shared entanglement and classical communication. Here we show that it is possible to teleport a state which is also post-selected. Post-selection of a state Φ means that after Alice has finished her experiment she performs a measurement and only keeps runs of the experiment where the measurement outcome is Φ. We also demonstrate pre and post-selected port-based teleportation. Finally we use these protocols to perform instantaneous non-local quantum computation on pre and post-selected systems, and significantly reduce the entanglement required to instantaneously measure an arbitrary non-local variable of spatially separated pre and post-selected systems.

An investigation into vibration transmission patterns within metro turnout areas utilizing the structural sound intensity method

Urban rail transit turnout areas are notorious for inducing elevated environmental vibrations due to the complex interactions between wheels, rails, and supporting infrastructure. This paper establishes a comprehensive vehicle-track-tunnel-soil coupled dynamic model of a train traversing a turnout region. The intricate vibration transmission mechanisms within the turnout are explored through numerical simulation and visualization of vibration energy flow pathways. The structural sound intensity method facilitates the directional characterization of both transverse and longitudinal elastic waves emanating from the wheel-rail contact zone. Results reveal distinct propagation patterns between the switch panel and crossing panel, with more pronounced low-frequency energy backflow occurring in the switch panel. The transverse wave is found to dominate the elevated lateral vibrations observed along the tunnel walls. Frequency domain analysis maps the variation in energy flow directionality across one-third octave bands. The findings align closely with field measurement outcomes, validating the capacity of the approach to identify vibration "hot spots." Overall, this research enhances the theoretical comprehension of the complex interplay between diverse factors influencing turnout vibration transmission dynamics. The visualization technique proves instrumental in elucidating the critical mechanisms underlying the exacerbated environmental impact within these structurally intricate domains. Practical insights are distilled regarding turnout design strategies, vibration monitoring, and control methodologies to facilitate the mitigation of detrimental vibration effects.

Pain Care at Home to Amplify Function: Protocol Article.

Guidelines recommend strategies to optimize opioid medication safety, including frequent reassessment of the benefits and harms of long-term opioid therapy. Prescribers, who are predominantly primary care providers (PCPs), may lack the training or resources to implement these guideline-concordant practices. Two interventions have been designed to assist PCPs and tested within the Veterans Health Administration (VHA). Telemedicine Collaborative Management (TCM) provides primarily medication management support via care manager-prescriber teams. Cooperative Pain Education and Self-Management (COPES) promotes self-management strategies for chronic pain via cognitive behavior therapy techniques. Each intervention has been shown to improve prescribing and/or patient outcomes. The added value of combining these interventions is untested. With funding and central coordination by the Integrative Management of Chronic Pain and Opioid Use Disorder for Whole Recovery (IMPOWR) Network of the National Institutes of Health Helping to End Addiction Long-term (HEAL) Initiative, we will conduct a multisite patient-level randomized hybrid II effectiveness-implementation trial within VHA to compare TCM to TCM + COPES on the primary composite outcome of pain interference and opioid safety, secondary outcomes of alcohol use, anxiety, depression, and sleep, and other consensus IMPOWR Network measures. Implementation facilitation strategies informed by interviews with healthcare providers will target site-specific needs. The impact of these strategies on TCM implementation will be assessed via established formative and summative evaluation techniques. Economic analyses will evaluate intervention cost-effectiveness.

Evaluation of novel open-source software for cardiac optical mapping

KairoSight-3.0 is a recently released Python-based, open-source software for cardiac optical mapping analysis. Addressing challenges in high-resolution electrophysiological data analysis, KairoSight-3.0 facilitates comprehensive studies of cardiac conduction and excitation-contraction coupling. We compared its performance with ElectroMap, focusing on action potential duration and conduction velocity measurements in mouse heart models subjected to ischaemia and flecainide treatment. Our findings reveal that while both software are effective, inherent methodological differences impact measurement outcomes. KairoSight-3.0's robust analysis capabilities make it a valuable tool in cardiac research. Additionally, future directions for KairoSight-3.0 and other mapping analysis tools are explored. Statement of importanceOpen-source methods for analysis of cardiac optical mapping are vital tools in electrophysiological research. Our work directly evaluates the latest version of KarioSight, recently published in JMCC plus, with ElectroMap, an established and widely used tool. Our results show both software are effective in analysis of changes in both conduction and repolarisation. Considering the new features of KairoSight-3.0 and python implementation, our study importantly demonstrates the effectiveness of the software, highlights potential discrepancies between it and ElectroMap, and provides a perspective on future directions for KairoSight-3.0 and other software.

An overview of the Be Well Home Health Navigator Program to reduce contaminants in well water: Design and methods

BackgroundThe Be Well Home Health Navigator Program is a prospective, randomized controlled trial (RCT) implemented to compare a community health navigator program to usual care program to reduce contaminants in drinking water. Design and settingThis 4-year two-armed RCT will involve well owners in Oregon that have private drinking water wells that contain arsenic, nitrate, or lead above maximum contaminant levels. InterventionThe intervention leverages the trusted relationship between Cooperative Extension Service (CES) Community Educators and rural well owners to educate, assist and motivate to make decisions and set actionable steps to mitigate water contamination. In this study, CES will serve as home health navigators to deliver: 1) individualized feedback, 2) positive reinforcement, 3) teach-back moments, 4) decision-making skills, 5) navigation to resources, 6) self-management, and 7) repeated contact for shaping and maintenance of behaviors. Usual care includes information only with no access to individual meetings with CES. Measurable outcomesPre-specified primary outcomes include 1) adoption of treatment to reduce exposure to arsenic, nitrate, or lead in water which may include switching to bottled water and 2) engagement with well stewardship behaviors assessed at baseline, and post-6 and 12 months follow-up. Water quality will be measured at baseline and 12-month through household water tests. Secondary outcomes include increased health literacy scores and risk perception assessed at baseline and 6-month surveys. ImplicationsThe results will demonstrate the efficacy of a domestic well water safety program to disseminate to other CES organizations.Trial registration number: NCT05395663

The Factors Influencing Students’ Attitude towards Learning English at University of Transport and Communication Ho Chi Minh City Campus

This article explores the relationship between students' confidence in their ability to successfully learn English, the values that English will bring to them, and their impact on two factors: (1) English language learning outcomes and (2) participation in English language courses based on data collected from 603 students at University of Transport and Communication Ho Chi Minh City campus (UTC-HCMC campus). The article analyzes the differences between male and female students in these measurement outcomes. Confidence in the ability to successfully learn English is closely related to English language learning outcomes, while confidence in the usefulness of English is closely related to the decision to participate in English language courses.

Causal Selection of Covariates in Regression Calibration for Mismeasured Continuous Exposure.

Regression calibration as developed by Rosner, Spiegelman, and Willett is used to adjust the bias in effect estimates due to measurement error in continuous exposures. The method involves two models: a measurement error model relating the mismeasured exposure to the true (or gold-standard) exposure and an outcome model relating the mismeasured exposure to the outcome. However, no comprehensive guidance exists for determining which covariates should be included in each model. In this article, we investigate the selection of the minimal and most efficient covariate adjustment sets under a causal inference framework. We show that to address the measurement error, researchers must adjust for, in both measurement error and outcome models, any common causes (1) of true exposure and the outcome and (2) of measurement error and the outcome. We also show that adjusting for so-called prognostic variables that are independent of true exposure and measurement error in the outcome model, may increase efficiency, while adjusting for any covariates that are associated only with true exposure generally results in efficiency loss in realistic settings. We apply the proposed covariate selection approach to the Health Professional Follow-up Study dataset to study the effect of fiber intake on cardiovascular disease. Finally, we extend the originally proposed estimators to a nonparametric setting where effect modification by covariates is allowed.

A scoping review on the clinical effectiveness of Trans-Impedance Matrix (TIM) measurements in detecting extracochlear electrodes and tip fold overs in Cochlear Ltd devices.

Extrusion of electrodes outside the cochlea and tip fold overs may lead to suboptimal outcomes in cochlear implant (CI) recipients. Intraoperative measures such as Trans-Impedance Matrix (TIM) measurements may enable clinicians to identify electrode malposition and direct surgeons to correctly place the electrode array during surgery. To assess the current literature on the effectiveness of TIM measurements in identifying extracochlear electrodes and tip fold overs. A scoping review of studies on TIM-based measurements were carried out using the Databases-Medline/PubMed, AMED, EMBASE, CINAHL and the Cochrane Library following PRISMA guidelines. Eleven full texts articles met the inclusion criteria. Only human studies pertaining to TIM as a tool used in CI were included in the review. Further, patient characteristics, electrode design, and TIM measurement outcomes were reported. TIM measurements were available for 550 implanted ears with the subjects age ranged between 9 months to 89 years. Abnormal TIM measurements were reported for 6.55% (36). Tip fold over was detected in 3.64% (20) of the cases, extracochlear electrodes in 1.45% (8), and 1.45% (8) were reported as buckling. Slim-modiolar electrode array designs were more common (54.71%) than pre-curved (23.34%) or lateral wall (21.95%) electrode array. Abnormal cochlear anatomy was reported for five ears (0.89%), with normal cochlear anatomy for all other patients. TIM measurement is a promising tool for the intraoperative detection of electrode malposition. TIM measurement has a potential to replace intraoperative imaging in future. Though, TIM measurement is in its early stages of clinical utility, intuitive normative data sets coupled with standardised criteria for detection of abnormal electrode positioning would enhance its sensitivity.

Evaluating effectiveness of restoration to address current stressors to riverine fish

Abstract River restoration programmes with the goal of conserving and rehabilitating inland fishes have a multi‐decadal history, but evaluation and synthesis of past restoration actions have been limited by a lack of monitoring and reporting. Given that calls for both monitoring and systematic reviews of restoration have increased, we were interested in the influence that restoration has had on improving conditions for riverine fishes resulting from long‐standing and increasingly prominent stressors. Our objectives were to (1) identify which stressors were targeted in river restoration efforts, (2) determine the proportion of published studies that articulate restoration goals and develop comparative monitoring designs for assessing the effects of restoration on fishes, and (3) conduct a meta‐analysis to synthesise fish responses to restoration projects. We assessed restoration effectiveness for increasing fish density and richness from peer‐reviewed papers published over the past decade using a global systematic review and meta‐analysis. We found that restoration actions addressed major stressors primarily by improving in‐stream habitat (37%), increasing in‐stream longitudinal connectivity (26%) and increasing lateral floodplain connections (9%). Although 81% of studies had comparative monitoring designs (i.e., before/after and control/impact) and stated restoration goals, only 40% of those studies reported sufficient data to be included in the meta‐analysis. Projects which increased in‐stream connectivity had the largest positive effect size on fish density and richness compared to in‐stream habitat improvements and increasing floodplain connections. Time since restoration and restoration size (i.e., geographical footprint) were not strong predictors of fish response effect sizes. Restoration effectiveness was highly variable among project types. Authors of studies included in the meta‐analysis often identified spatial or temporal scale of monitoring, overriding catchment conditions, and recolonisation potential as sources of variability and effectiveness in restoration outcomes. Systematic reporting of these and other covariates may help guide processes in restoration evaluation and provide valuable research insights. Despite increased emphasis on monitoring, incomplete data reporting limited the number of studies that could be included for quantitative meta‐analysis. Persistent emphasis on setting specific criteria (e.g., measurable outcomes of fish response) for restoration goals, project monitoring, data reporting, information sharing and collaborative projects is likely to continue to improve understanding of restoration effectiveness transferable to future endeavours. Our results can be used to support river restoration practitioners with evidence‐based information to evaluate the cost–benefit ratio of competing restoration priorities, and inform restoration planning and implementation for riverine fish.

The empty pelvis syndrome: a core data set from the PelvEx collaborative.

Empty pelvis syndrome (EPS) is a significant source of morbidity following pelvic exenteration (PE), but is undefined. EPS outcome reporting and descriptors of radicality of PE are inconsistent; therefore, the best approaches for prevention are unknown. To facilitate future research into EPS, the aim of this study is to define a measurable core outcome set, core descriptor set and written definition for EPS. Consensus on strategies to mitigate EPS was also explored. Three-stage consensus methodology was used: longlisting with systematic review, healthcare professional event, patient engagement, and Delphi-piloting; shortlisting with two rounds of modified Delphi; and a confirmatory stage using a modified nominal group technique. This included a selection of measurement instruments, and iterative generation of a written EPS definition. One hundred and three and 119 participants took part in the modified Delphi and consensus meetings, respectively. This encompassed international patient and healthcare professional representation with multidisciplinary input. Seventy statements were longlisted, seven core outcomes (bowel obstruction, enteroperineal fistula, chronic perineal sinus, infected pelvic collection, bowel obstruction, morbidity from reconstruction, re-intervention, and quality of life), and four core descriptors (magnitude of surgery, radiotherapy-induced damage, methods of reconstruction, and changes in volume of pelvic dead space) reached consensus-where applicable, measurement of these outcomes and descriptors was defined. A written definition for EPS was agreed. EPS is an area of unmet research and clinical need. This study provides an agreed definition and core data set for EPS to facilitate further research.

Adaptive measurement strategy for quantum subspace methods

Estimation of physical observables for unknown quantum states is an important problem that underlies a wide range of fields, including quantum information processing, quantum physics, and quantum chemistry. In the context of quantum computation, in particular, existing studies have mainly focused on holistic state tomography or estimation on specific observables with known classical descriptions, while this lacks the important class of problems where the estimation target itself relies on the measurement outcome. In this work, we propose an adaptive measurement optimization method that is useful for the quantum subspace methods, namely the variational simulation methods that utilize classical postprocessing on measurement outcomes. The proposed method first determines the measurement protocol for classically simulatable states, and then adaptively updates the protocol of quantum subspace expansion (QSE) according to the quantum measurement result. As a numerical demonstration, we have shown for excited-state simulation of molecules that (i) we are able to reduce the number of measurements by an order of magnitude by constructing an appropriate measurement strategy (ii) the adaptive iteration converges successfully even for a strongly correlated molecule of H4. Our work reveals that the potential of the QSE method can be empowered by elaborated measurement protocols, and opens a path to further pursue efficient quantum measurement techniques in practical computations.

Impact of Implementing Psychological Ownership in Undergraduate Dental Clinical Training: A Retrospective Study.

The idea of psychological ownership (PO) has been utilized in a variety of contexts, but the significance and lessons learned from using PO in dental clinical education have not been investigated. A detailed long-term study of PO in dental clinical education will allow us to understand the effectiveness of this practice. The purpose of this paper is to compare undergraduate (UG) student's clinical performance before and after the PO system was implemented. A retrospective study was conducted with around 70-80 students in an academic year from June 2012 to June 2019. Through ownership quality, four-handed dentistry, observation and assistance, supply of must-haves, and measurable outcomes, the clinical performance of students in pre- and post-PO systems was compared. The quantum of overall clinical procedures performed by the UG students was 8,214 and 13,753 in pre-PO and post-PO, respectively. Chi-squared tests performed unveil that there exists a statistically significant difference in the quantum of clinical procedures performed by UG after the implementation of PO. The results of our study clearly state that there was a significant increase in the quantum of clinical procedures performed by UG students after the implementation of the PO system. Felsypremila G, Muthu MS, Nirmal L, et al. Impact of Implementing Psychological Ownership in Undergraduate Dental Clinical Training: A Retrospective Study. Int J Clin Pediatr Dent 2024;17(3):279-284.

Safety and efficacy of a probiotic cocktail containing P. acidilactici and L. plantarum for gastrointestinal discomfort in endurance runners: randomized double-blinded crossover clinical trial.

Probiotics are increasingly used to treat conditions associated with gastrointestinal injury and permeability, including exercise-induced gastrointestinal discomfort. This study assessed safety and efficacy of a probiotic in altering the intestinal milieu and mitigating gastrointestinal symptoms (GIS) in endurance runners. In a double blind, crossover study, 16 runners were randomized to 4 weeks of daily supplementation with a probiotic cocktail containing Pediococcus acidilactici bacteria and Lactobacillus plantarum or placebo. Fasting blood and stool samples were collected for measurement of gut permeability markers, immune parameters, and microbiome analyses. Treadmill run tests were performed before and after treatment; participants ran at 65%-70% of VO2max at 27°C for a maximum of 90 min or until fatigue/GIS developed. A blood sample was collected after the treadmill run test. In healthy individuals, 4 weeks of probiotic supplementation did not alter health parameters, although a marginal reduction in aspartate aminotransferase levels was observed with probiotic treatment only (p=0.05). GIS, gut permeability-associated parameters (intestinal fatty acid binding protein, lipopolysaccharide binding protein, zonulin, and cytokines), and intestinal microbial content were not altered by the probiotic supplementation. Post-run measurements of GIS and gut-associated parameters did not differ between groups; however, the observed lack of differences is confounded by an absence of measurable functional outcome as GIS was not sufficiently induced during the run. Under the current study conditions, the probiotic was safe to use, and did not affect gut- or immune-associated parameters, or intestinal symptoms in a healthy population. The probiotic might reduce tissue damage, but more studies are warranted.

Random Quantum Circuits Transform Local Noise into Global White Noise

We study the distribution over measurement outcomes of noisy random quantum circuits in the regime of low fidelity, which corresponds to the setting where the computation experiences at least one gate-level error with probability close to one. We model noise by adding a pair of weak, unital, single-qubit noise channels after each two-qubit gate, and we show that for typical random circuit instances, correlations between the noisy output distribution pnoisy\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$p_{\ ext {noisy}}$$\\end{document} and the corresponding noiseless output distribution pideal\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$p_{\ ext {ideal}}$$\\end{document} shrink exponentially with the expected number of gate-level errors. Specifically, the linear cross-entropy benchmark F that measures this correlation behaves as F=exp(-2sϵ±O(sϵ2))\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$F=\ ext {exp}(-2s\\epsilon \\pm O(s\\epsilon ^2))$$\\end{document}, where ϵ\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\epsilon $$\\end{document} is the probability of error per circuit location and s is the number of two-qubit gates. Furthermore, if the noise is incoherent—for example, depolarizing or dephasing noise—the total variation distance between the noisy output distribution pnoisy\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$p_{\ ext {noisy}}$$\\end{document} and the uniform distribution punif\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$p_{\ ext {unif}}$$\\end{document} decays at precisely the same rate. Consequently, the noisy output distribution can be approximated as pnoisy≈Fpideal+(1-F)punif\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$p_{\ ext {noisy}}\\approx Fp_{\ ext {ideal}}+ (1-F)p_{\ ext {unif}}$$\\end{document}. In other words, although at least one local error occurs with probability 1-F\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$1-F$$\\end{document}, the errors are scrambled by the random quantum circuit and can be treated as global white noise, contributing completely uniform output. Importantly, we upper bound the average total variation error in this approximation by O(Fϵs)\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$O(F\\epsilon \\sqrt{s})$$\\end{document}. Thus, the “white-noise approximation” is meaningful when ϵs≪1\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\epsilon \\sqrt{s} \\ll 1$$\\end{document}, a quadratically weaker condition than the ϵs≪1\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\epsilon s\\ll 1$$\\end{document} requirement to maintain high fidelity. The bound applies if the circuit size satisfies s≥Ω(nlog(n))\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$s \\ge \\Omega (n\\log (n))$$\\end{document}, which corresponds to only logarithmic depth circuits, and if, additionally, the inverse error rate satisfies ϵ-1≥Ω~(n)\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\epsilon ^{-1} \\ge {\ ilde{\\Omega }}(n)$$\\end{document}, which is needed to ensure errors are scrambled faster than F decays. The white-noise approximation is useful for salvaging the signal from a noisy quantum computation; for example, it was an underlying assumption in complexity-theoretic arguments that noisy random quantum circuits cannot be efficiently sampled classically, even when the fidelity is low. Our method is based on a map from second-moment quantities in random quantum circuits to expectation values of certain stochastic processes for which we compute upper and lower bounds.

CHSH Bell tests for optical hybrid entanglement

Optical hybrid entanglement can be created between two qubits, one encoded in a single photon and another one in coherent states with opposite phases. It opens the path to a variety of quantum technologies, such as heterogeneous quantum networks, merging continuous- and discrete-variable encoding, and enabling the transport and interconversion of information. However, reliable characterization of the non-local nature of this quantum state is limited so far to full quantum state tomography. Here, we perform a thorough study of Clauser–Horne–Shimony–Holt Bell inequality tests, enabling practical verification of quantum nonlocality for optical hybrid entanglement. We show that a practical violation of this inequality is possible with simple photon number on/off measurements if detection efficiencies stay above 82%. Another approach, based on photon-number parity measurements, requires 94% efficiency but works well in the limit of higher photon populations. Both tests use no postselection of the measurement outcomes and they are free of the fair-sampling hypothesis. Our proposal paves the way to performing loophole-free tests using feasible experimental tasks such as coherent state interference and photon counting.

Cross-country analysis of contextual factors and implementation strategies in under-5 mortality reduction in six low- and middle-income countries 2000-2015.

The Exemplars in Under-5 Mortality (U5M) was a multiple cases study of how six low- and middle-income countries (LMICs), Bangladesh, Ethiopia, Nepal, Peru, Rwanda, and Senegal, implemented health system-delivered evidence-based interventions (EBIs) to reduce U5M between 2000 and 2015 more effectively than others in their regions or with similar economic growth. Using implementation research, we conducted a cross-country analysis to compare decision-making pathways for how these countries chose, implemented, and adapted strategies for health system-delivered EBIs that mitigated or leveraged contextual factors to improve implementation outcomes in reducing amenable U5M. The cross-country analysis was based on the hybrid mixed methods implementation research framework used to inform the country case studies. The framework included a common pathway of Exploration, Preparation, Implementation, Adaptation, andSustainment (EPIAS). From the existing case studies, we extracted contextual factors which were barriers, facilitators, or determinants of strategic decisions; strategies to implement EBIs; and implementation outcomes including acceptability and coverage. We identified common factors and strategies shared by countries, and individual approaches used by countries reflecting differences in contextual factors and goals. We found the six countries implemented many of the same EBIs, often using similar strategies with adaptations to local context and disease burden. Common implementation strategies included use of data by decision-makers to identify problems and prioritize EBIs, determine implementation strategies and their adaptation, and measure outcomes; leveraging existing primary healthcare systems; and community and stakeholder engagement. We also found common facilitators included culture of donor and partner coordination and culture and capacity of data use, while common barriers included geography and culture and beliefs. We found evidence for achieving implementation outcomes in many countries and EBIs including acceptability, coverage, equity, and sustainability. We found all six countries used a common pathway to implementation with a number of strategies common across EBIs and countries which contributed to progress, either despite contextual barriers or by leveraging facilitators. The transferable knowledge from this cross-country study can be used by other countries to more effectively implement EBIs known to reduce amenable U5M and contribute to strengthening health system delivery now and in the future.