Quantum optimisation for highly constrained problems in customer data science

针对客户数据科学中高度受限问题的量子优化

• 批准号: 2608447
• 金额: --
• 依托单位: Durham University
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2021
• 资助国家: 英国
• 起止时间: 2021 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2608447
• 关键词: Quantum; optimisation; highly; constrained; problems

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.

该项目由Dunnhumby（https://www.dunnhumby.com/#）共同资助。该学生将与Dunnhumby的数据科学家紧密合作，以了解如何将量子计算机应用于他们的问题以及可能改变游戏规则的机会。我们将研究栅极模型和退火范式的潜力，并了解如何在这些特定实例中专门使用方法。