6 research outputs found

    Spin-momentum entanglement in a Bose-Einstein condensate

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    Entanglement is at the core of quantum information processing and may prove essential for quantum speed-up. Inspired by both theoretical and experimental studies of spin-momentum coupling in systems of ultra-cold atoms, we investigate the entanglement between the spin and momentum degrees of freedom of an optically trapped BEC of 87^{87}Rb atoms. We consider entanglement that arises due to the coupling of these degrees of freedom induced by Raman and radio-frequency fields and examine its dependence on the coupling parameters by evaluating von Neumann entropy as well as concurrence as measures of the entanglement attained. Our calculations reveal that under proper experimental conditions significant spin-momentum entanglement can be obtained, with von Neumann entropy of 80% of the maximum attainable value. Our analysis sheds some light on the prospects of using BECs for quantum information applications

    Disordered Phase in Ising and Metastability in Cellular Potts Models Hint at Glassy Dynamics

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    In this paper, quantum algorithms are to be used to simulate glassy systems in toy models. To look for glassy behavior, the energy landscape and spin configurations of the transverse field Ising model in a longitudinal field are studied. The Variational Quantum Eigensolver (VQE) is used to obtain the ground-state energies and corresponding eigenstates for a 6×66 \times 6 Ising lattice using 36 qubits and a 1-dimensional Ising chain of length 25. For the 8×88 \times 8 Cellular Potts model, the original Hamiltonian is converted to an Ising formulation for the VQE to reduce to its ground state. The energy change during minimization is carefully analyzed to find whether the effects of interfacial tension among cells could probably induce glassiness in the cell system

    Physics inspired quantum simulation of resonating valence bond states -- a prototypical template for a spin-liquid ground state

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    Spin-liquids -- an emergent, exotic collective phase of matter -- have garnered enormous attention in recent years. While experimentally, many prospective candidates have been proposed and realized, theoretically modeling real materials that display such behavior may pose serious challenges due to the inherently high correlation content of emergent phases. Over the last few decades, the second-quantum revolution has been the harbinger of a novel computational paradigm capable of initiating a foundational evolution in computational physics. In this report, we strive to use the power of the latter to study a prototypical model -- a spin-12\frac{1}{2}-unit cell of a Kagome anti-ferromagnet. Extended lattices of such unit cells are known to possess a magnetically disordered spin-liquid ground state. We employ robust classical numerical techniques like Density-Matrix Renormalization Group (DMRG) to identify the nature of the ground state through a matrix-product state (MPS) formulation. We subsequently use the gained insight to construct an auxillary hamiltonian with reduced measurables and also design an ansatz that is modular and gate efficient. With robust error-mitigation strategies, we are able to demonstrate that the said ansatz is capable of accurately representing the target ground state even on a real IBMQ backend within 1%1\% accuracy in energy. Since the protocol is linearly scaling O(n)O(n) in the number of unit cells, gate requirements, and the number of measurements, it is straightforwardly extendable to larger Kagome lattices which can pave the way for efficient construction of spin-liquid ground states on a quantum device

    Reducing the environmental impact of surgery on a global scale: systematic review and co-prioritization with healthcare workers in 132 countries

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    Abstract Background Healthcare cannot achieve net-zero carbon without addressing operating theatres. The aim of this study was to prioritize feasible interventions to reduce the environmental impact of operating theatres. Methods This study adopted a four-phase Delphi consensus co-prioritization methodology. In phase 1, a systematic review of published interventions and global consultation of perioperative healthcare professionals were used to longlist interventions. In phase 2, iterative thematic analysis consolidated comparable interventions into a shortlist. In phase 3, the shortlist was co-prioritized based on patient and clinician views on acceptability, feasibility, and safety. In phase 4, ranked lists of interventions were presented by their relevance to high-income countries and low–middle-income countries. Results In phase 1, 43 interventions were identified, which had low uptake in practice according to 3042 professionals globally. In phase 2, a shortlist of 15 intervention domains was generated. In phase 3, interventions were deemed acceptable for more than 90 per cent of patients except for reducing general anaesthesia (84 per cent) and re-sterilization of ‘single-use’ consumables (86 per cent). In phase 4, the top three shortlisted interventions for high-income countries were: introducing recycling; reducing use of anaesthetic gases; and appropriate clinical waste processing. In phase 4, the top three shortlisted interventions for low–middle-income countries were: introducing reusable surgical devices; reducing use of consumables; and reducing the use of general anaesthesia. Conclusion This is a step toward environmentally sustainable operating environments with actionable interventions applicable to both high– and low–middle–income countries

    Cross sectional study of Casual Blood Glucose in apparently healthy people at tertiary care hospital

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    Background: Burden of type 2 diabetes is increasing day by day . It remains asymptomatic in most of the cases and patients. Most of the time in advanced disease it shows symptoms. Various studies have shown that early identification of diabetes and lowering of blood glucose delayed the onset and progression of diabetes complications. The present study was conducted with the objectives to screen healthy persons for diabetes, to assess the various risk factors for diabetes and to study perception of healthy individuals about diabetes. Methodology: It is a cross sectional observational study conducted at outpatient Department (OPD) of Government Medical College and Hospital, Akola. Healthy relatives of patients were screened. Patients’ relatives history, blood collection and Casual Blood glucose measurement was done. Results: Out of 266 participants, 25.9% (69) participants were having RBS above 140mg/dl and 13.2% (35) participants were having RBS level >200mg/dl. 31% (83) of participants gave history of DM in family. 12.8% (34) of have addiction of smoking, about 10.2% were addicted to alcohol. Only 43% participants were having some information about diabetes. 82% were aware about hereditary inheritance of DM, 45% about frequent urination, 75% study subjects were agreed on dietary modification needed. 51% participants were having perception that exercise is beneficial. Conclusion: Study reveals high proportions of diabetics in study populations (>30 years) and Perceptions about symptoms, risk factors, screening test, diagnosis and complications were poor among study population
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