We construct a universal set of high fidelity quantum gates to be used on a sparse bipartite lattice with always-on Ising couplings. The gates are based on dynamical decoupling sequences using shaped pulses, they protect against low-frequency phase noise, and can be run in parallel on non-neighboring qubits. This makes them suitable for implementing quantum error correction with low-density parity check codes like the surface codes and their finite-rate generalizations. We illustrate the construction by simulating the quantum Zeno effect with the [[4, 2, 2]] toric code on a spin chain.
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http://dx.doi.org/10.1103/PhysRevLett.110.070503 | DOI Listing |
Essential tremor (ET) is one of the most prevalent nerve-related movement disorders, most commonly affecting the hands during voluntary movements or while maintaining posture. Unlike tremors in neurodegenerative conditions, ET is not observed at rest. Continued research is essential to optimize treatment strategies and address the unmet need for sustainable, patient-centered therapies that minimize side effects and enhance long-term quality of life (QoL) for individuals with ET.
View Article and Find Full Text PDFBMJ Open
January 2025
Pharmaceutics and Social Pharmacy, Addis Ababa University College of Health Sciences, Addis Ababa, Ethiopia.
Objective: This study analysed the spatial and temporal patterns of cervical cancer incidence in Addis Ababa from 2012 to 2021.
Design: An ecological study was conducted from 1 September to 30 November 2023 to examine the spatiotemporal trends of cervical cancer incidence.
Setting: The research was conducted in Addis Ababa, the capital city of Ethiopia.
Brief Bioinform
November 2024
School of Software, Shandong University, No. 1500, Shunhua Road, Hi-Tech Industrial Development Zone, Jinan 250100, Shandong, China.
Single-cell high-throughput chromosome conformation capture (Hi-C) technology enables capturing chromosomal spatial structure information at the cellular level. However, to effectively investigate changes in chromosomal structure across different cell types, there is a requisite for methods that can identify cell types utilizing single-cell Hi-C data. Current frameworks for cell type prediction based on single-cell Hi-C data are limited, often struggling with features interpretability and biological significance, and lacking convincing and robust classification performance validation.
View Article and Find Full Text PDFHomeostasis is a driving principle in physiology. To achieve homeostatic control of neural activity, neurons monitor their activity levels and then initiate corrective adjustments in excitability when activity strays from a set point. However, fluctuations in the brain microenvironment, such as temperature, pH, and other ions represent some of the most common perturbations to neural function in animals.
View Article and Find Full Text PDFNeural Netw
January 2025
School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, 100876, China. Electronic address:
For imbalanced classification problem, algorithm-level methods can effectively avoid the information loss and noise introduction of data-level methods. However, the differences in the characteristics of the datasets, such as imbalance ratio, data dimension, and sample distribution, make it difficult to determine the optimal parameters of the algorithm-level methods, which leads to low universality. This paper proposes a meta-learning imbalanced classification framework via boundary enhancement strategy with Bayes imbalance impact index.
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