Quantum optimisation for highly constrained problems in customer data science
Quantum optimisation for highly constrained problems in customer data science
批准号:
2608447
负责人:
金额:
$0.0万
依托单位:
依托单位国家:
英国
项目类别:
Studentship
财政年份:
2021
资助国家:
英国
项目状态:
未结题
起止时间:
2021 至 --
中文摘要
该项目由Dunnhumby (https://www.dunnhumby.com/#)共同资助,将研究量子计算机的应用,以解决现实世界客户数据科学用例中出现的高度受限问题。该学生将与Dunnhumby的数据科学家密切合作,了解如何将量子计算机应用于他们的问题,以及可能出现的改变游戏规则的机会。我们将研究门模型和退火计算范式的潜力,并了解如何将方法专门用于这些特定实例。
英文摘要
This project, co-funded by Dunnhumby (https://www.dunnhumby.com/#) will examine the application of quantum computers to solve highly constrained problems which arise in real-world customer data science use cases. The student will work closely with data scientists at Dunnhumby to understand how quantum computers could be applied to their problems and where potentially game-changing opportunities could arise. We will study the potential from both gate model and annealing paradigms of computing and understand how approaches would need to be specialized for these specific instances.
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