Distributing Quantum Circuits Using Teleportations

Scalability is currently one of the most sought-after objectives in the field of quantum computing. Distributing a quantum circuit across a quantum network is one way to facilitate large computations using current quantum computers. In this paper, we consider the problem of distributing a quantum circuit across a network of heterogeneous quantum computers, while minimizing the number of teleportations (the communication cost) needed to implement gates spanning multiple computers. We design two algorithms for this problem. The first, called Local- Best, initially distributes the qubits across the network, then tries to teleport qubits only when necessary, with teleportations being influenced by gates in the near future. The second, called Zero- Stitching, divides the given circuit into sub-circuits such that each sub-circuit can be executed using zero teleportations and the teleportation cost incurred at the borders of the sub-circuits is minimal. We evaluate our algorithms over a wide range of randomly-generated circuits as well as known benchmarks, and compare their performance to prior work. We observe that our techniques outperform the prior approach by a significant margin (up to 50%)

Bone is Not Alone: the Effects of Skeletal Muscle Dysfunction in Chronic Kidney Disease

Chronic kidney disease (CKD) is associated with a decline in muscle mass, strength, and function, collectively called "sarcopenia." Sarcopenia is associated with hospitalizations and mortality in CKD and is therefore important to understand and characterize. While the focus of skeletal health in CKD has traditionally focused on bone and mineral aberrations, it is now recognized that sarcopenia must also play a role in poor musculoskeletal health in this population. In this paper, we present an overview of skeletal muscle changes in CKD, including defects in skeletal muscle catabolism and anabolism in uremic tissue. There are many gaps in knowledge in this field that should be the focus for future research to unravel pathogenesis and therapies for musculoskeletal health in CKD

Quantum Hamilton-Jacobi analysis of PT symmetric Hamiltonians

We apply the quantum Hamilton-Jacobi formalism, naturally defined in the complex domain, to a number of complex Hamiltonians, characterized by discrete parity and time reversal (PT) symmetries and obtain their eigenvalues and eigenfunctions. Examples of both quasi-exactly and exactly solvable potentials are analyzed and the subtle differences, in the singularity structures of their quantum momentum functions, are pointed out. The role of the PT symmetry in the complex domain is also illustrated.Comment: 11 page

Benign breast diseases: experience at a teaching hospital in rural India

Background: Though benign breast diseases are very common with nearly 1/3 of women suffering some time during their life time, not many studies have focused on this entity, especially in rural areas. Our teaching hospital situated amongst the villages in rural part of India provided the right background for the study.  Objective: To determine the frequency of benign breast diseases in a teaching hospital situated in the rural setting and to analyze the role of triple assessment in assessing benign breast diseases.Study design: Prospective, descriptive study.Setting: MVJ Medical College and Research Hospital, Hoskote, Bangalore Rural district, Karnataka, India.Method of study: Data including age, complaints, clinical examination, radiological investigations and histopathological diagnosis was collected from patients presenting to the department of surgery with breast complaints. Patients with carcinoma of the breast were excluded from the study.Results: A total of 110 patients were studied between November 2009 to March 2011. Mean age of patients was 28.6 years. Fibroadenoma was the most common diagnosis in 56.4% followed by fibroadenosis in 20.9%. There was one case each of lipoma, tuberculosis and duct ectasia and two cases of atypical ductal hyperplasia. The sensitivity of clinical diagnosis in our study was 91.1% and FNAC was 100% accurate in all patients with fibroadenoma but had a sensitivity of only 78% in the diagnosis of fibroadenosis. Only 3.3% of cases of fibroadenoma were treated conservatively

The TOC-ABC choice debate for product mix decisions : introducing asset specificity as an alternate explanation

Though constructed with different purposes, the theory of constraints and activity based costing systems pose a choice problem in respect of product mix decisions. We believe that the existing explanation of short versus long run criterion to explain firms\u27 choice between these two systems is incomplete and offer an alternate explanation based on asset specificity. We argue that the extent to which specialized resources are deployed to make products in a mix determines the choice. We present a 2*2 matrix stating that when asset specificity is high, a firm is likely to choose ABC instead of TOC since ABC makes a large portion of costs visible to enable control. However, the choice is likely to be a TOC-ABC combination when the manufacture of asset specific products is also constrained by bottlenecks.<br /

Study on drug related problems in tuberculosis patients undergoing treatment

Background: Tuberculosis is a chronic infectious disease caused by Mycobacterium tuberculosis. It is one of the leading causes of mortality and morbidity around the world. The aim of this study to identify and document the drug related problems in tuberculosis patients under anti-tubercular treatment (ATT) in an attempt to promote adherence, reduce the drug related problems and improve success rate in TB treatment. The main objective of the study to identify the drug related problems in tuberculosis patients on ATT and second objective measure the medication adherence and counsel patients to improve medication adherence.Methods: A prospective observational study was conducted in Raja Muthiah Medical College Hospital for 6 months from November 2018 to April 2019. The study was approved by Institutional Human Ethics Committee (IHEC).Results: Total 101 drug related problems have been identified in 70 patients using pharmaceutical care network of Europe classification. Drug interactions 41.58% was the most common drug related problems found, which was clinically significant in tuberculosis patients with co- morbidities. Insufficient awareness of health and disease 21.75% was the second most common drug related problems found, 16.83% drug choice problems found. Nearly 64% of the enrolled patients were found to be non-adherence during pre-patient counselling. After the patient counselling the adherent rate was improved 74%.Conclusions: The study concludes that pharmacist provided patient counselling found to have significant influence on improvement in the patient’s knowledge towards their disease and medication, and adherence to prescribed therapy which helps to improve the clinical outcome of TB patients

Tight Approximation Algorithms for p-Mean Welfare Under Subadditive Valuations

We develop polynomial-time algorithms for the fair and efficient allocation of indivisible goods among n agents that have subadditive valuations over the goods. We first consider the Nash social welfare as our objective and design a polynomial-time algorithm that, in the value oracle model, finds an 8n-approximation to the Nash optimal allocation. Subadditive valuations include XOS (fractionally subadditive) and submodular valuations as special cases. Our result, even for the special case of submodular valuations, improves upon the previously best known O(n log n)-approximation ratio of Garg et al. (2020). More generally, we study maximization of p-mean welfare. The p-mean welfare is parameterized by an exponent term p ? (-?, 1] and encompasses a range of welfare functions, such as social welfare (p = 1), Nash social welfare (p ? 0), and egalitarian welfare (p ? -?). We give an algorithm that, for subadditive valuations and any given p ? (-?, 1], computes (in the value oracle model and in polynomial time) an allocation with p-mean welfare at least 1/(8n) times the optimal. Further, we show that our approximation guarantees are essentially tight for XOS and, hence, subadditive valuations. We adapt a result of Dobzinski et al. (2010) to show that, under XOS valuations, an O (n^{1-?}) approximation for the p-mean welfare for any p ? (-?,1] (including the Nash social welfare) requires exponentially many value queries; here, ? > 0 is any fixed constant