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Hamiltonian learning for 300 trapped ion qubits with long-range couplings.
Sci Adv
January 2025
Center for Quantum Information, Institute for Interdisciplinary Information Sciences, Tsinghua University, Beijing 100084, PR China.
Quantum simulators with hundreds of qubits and engineerable Hamiltonians have the potential to explore quantum many-body models that are intractable for classical computers. However, learning the simulated Hamiltonian, a prerequisite for any quantitative applications of a quantum simulator, remains an outstanding challenge due to the fast increasing time cost with the qubit number and the lack of high-fidelity universal gate operations in the noisy intermediate-scale quantum era. Here, we demonstrate the Hamiltonian learning of a two-dimensional ion trap quantum simulator with 300 qubits.
View Article and Find Full Text PDFMolecular dynamics simulations of functionalized hBN nanopores in water: Ab initio force field and implications for water desalination.
J Chem Phys
January 2025
Department of Chemical Engineering, Indian Institute of Science, Bengaluru, Karnataka 560012, India.
Heteropolar two-dimensional materials, including hexagonal boron nitride (hBN), are promising candidates for seawater desalination and osmotic power harvesting, but previous simulation studies have considered bare, unterminated nanopores in molecular dynamics (MD) simulations. There is presently a lack of force fields to describe functionalized nanoporous hBN in aqueous media. To address this gap, we conduct density functional theory (DFT)-based ab initio MD simulations of hBN nanopores surrounded by water molecules.
View Article and Find Full Text PDFRepositioning a patient from the prone to supine position can delay the initiation of cardiopulmonary resuscitation (CPR). Investigators used high-fidelity simulation to assess the time to initiate chest compressions and the time during which compressions did not occur for supine and prone CPR. Sixty participants completed a knowledge assessment before and after attending an education session and completing two simulations (ie, supine, prone).
View Article and Find Full Text PDFMatrix-vector multiplications (MVMs) are essential for a wide range of applications, particularly in modern machine learning and quantum computing. In photonics, there is growing interest in developing architectures capable of performing linear operations with high speed, low latency, and minimal loss. Traditional interferometric photonic architectures, such as the Clements design, have been extensively used for MVM operations.
View Article and Find Full Text PDFMixed discipline 'Simulation Integrating Metal and Physical health Learning' (SMIPL): A qualitative study of student experience and learning.
Nurse Educ Today
January 2025
Lecturer in Nursing Education, Faculty of Nursing, Midwifery & Palliative Care, King's College London, 57 Waterloo Road, London, SE1 8WA. Electronic address:
Background/problems: Individuals with comorbid physical and mental health conditions face significant threats to their well-being while placing a substantial burden on healthcare systems through increased service costs. Nursing professionals encounter multiple challenges in delivering effective care to this population. These challenges include a lack of integrated care models, communication barriers among providers, the complexity of addressing dual health needs, insufficient training in comorbidity management, resource and time constraints, and pervasive stigma toward mental illness.
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