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The quantum data centre of the future

The quantum data centre of the future
未来的量子数据中心
批准号:
10004793
负责人:
金额:
$1136.44万
依托单位:
依托单位国家:
英国
项目类别:
Collaborative R&D
财政年份:
2022
资助国家:
英国
项目状态:
未结题
起止时间:
2022 至 --

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中文摘要
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英文摘要
Data centres, and the networks and systems that surround them are the future work horse of digitised economies. The data processing that they provide is a well-known driver for economic growth, providing cutting edge storage and computing systems that increasingly underpin all aspects of business and society.These data centres are huge system of systems, comprising thousands of components coming from a diverse, global supply chain. To account for the ever growing amount and complexity of data that needs to be processed these systems are becoming more complex and have started to incorporate novel chip sets within heterogeneous architectures to provide more efficient training of machine learning problems.Quantum technologies, has long been described as the solution to the world's most challenging data problems. Quantum computing has the ability to significantly enhance our ability to process optimisation, machine learning and sorting problems which are beyond the reach of today's computers, and quantum communications provides the answer to ever-increasing challenges of security.However, to date, very little activity has taken place to understand from a systems perspective how quantum technologies can integrate with existing data centres. Quantum computers and communications systems are often described in isolation, more or less at-odds with the direction of the industry for the last 50 years.This misses the possibility for very significant near term value to be created with quantum/classical hybrid systems.For the first time ever, this project seeks look at quantum technologies through the lens of the existing industry. It brings together experts in classical data centres and networking, quantum computing and quantum communications and will develop a blueprint for a quantum/classical hybrid data centre and a quantum internet.
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国内基金
海外基金
Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis
Data-driven Recommendation System Construction of an Online Medical Platform Based on the Fusion of Information
复杂数据下半参数转换模型及其在老年慢性病发展中的应用研究
  • 批准号:
    72101261
  • 项目类别:
    青年科学基金项目(C类)
  • 资助金额:
    30.0万元
  • 批准年份:
    2021
  • 负责人:
    孙韬
  • 依托单位:
Development of a Linear Stochastic Model for Wind Field Reconstruction from Limited Measurement Data
  • 批准号:
    --
  • 项目类别:
    --
  • 资助金额:
    40万元
  • 批准年份:
    2020
  • 负责人:
    Vikrant Gupta
  • 依托单位: