• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Quantum Engineering >Modeling viral diffusion using quantum computational network simulation
【24h】

Modeling viral diffusion using quantum computational network simulation

机译：使用量子模拟病毒扩散计算机网络仿真

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Summary Processes of viral diffusion are important in biological, technological, and social systems alike. Several mathematical models of infection have been developed to predict diffusion through networks, such as nonlinear dynamical systems (NLDSs). Such models generally offer accurate representations of real‐world diffusion, particularly for networks with static topologies. However, simulations of viral diffusion are computationally expensive, rendering them infeasible for large‐scale networks. Here, a new approach is shown that leverages quantum computing to make viral diffusion simulations feasible for large networks, independent of network topology. Simulations of an error‐free quantum circuit accurately modeled viral diffusion, with multivariate Euclidean distances from predicted infection probabilities capped near 8% for a network with N = 5 nodes and t = 20 time‐steps. This is sufficient accuracy to distinguish the relative susceptibility of nodes and to identify significant changes, such as periods of especially high susceptibility. The results illustrate the potential for quantum computational network simulation to provide accurate models of diffusion through large networks, an important real‐world application of quantum computing. The ability to simulate viral diffusion is invaluable for researchers across disciplines who aim to understand, anticipate, prepare for, and intervene in ongoing diffusion processes.
机译：摘要的过程病毒扩散是重要的生物,技术和社会制度。感染的数学模型通过网络,开发预测扩散如非线性动力系统(NLDSs)。模型通常提供准确的表征真正的列车世界扩散,尤其是与静态网络拓扑。模拟病毒扩散计算昂贵,呈现它们不可行对于大型网络规模。方法是表明,利用量子计算机病毒扩散模拟可行的大型网络,独立的网络拓扑结构。量子电路精确建模的病毒扩散,多元欧几里得距离从预测感染概率上限近8%与跨度时间必经的步骤。区分的相对敏感性节点和识别重大改变,特别是高敏感性的时期。结果说明量子的潜力计算机网络仿真提供通过大型精确模型的扩散网络,一个重要的现实世界的应用量子计算。扩散对研究人员都是非常宝贵的学科旨在了解、预测、准备,干预持续扩散流程。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号