QUANTUM COMPUTING MACHINE LEARNING MODULE

• Main Authors: DUKATZ CARL MATTHEW, FORRESTER LASCELLES, GARRISON DANIEL, HOLLENBECK COREY
• Format: Patent
• Language: Chinese; English
• Published: 02.11.2018
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; PHYSICS

Methods, systems, and apparatus for training a machine learning model to route received computational tasks in a system including at least one quantum computing resource. In one aspect, a method includes obtaining a first set of data, the first set of data comprising data representing multiple computational tasks previously performed by the system; obtaining input data for the multiple computational tasks previously performed by the system, comprising data representing a type of computing resource the task was routed to; obtaining a second set of data, the second set of data comprising data representing properties associated with using the one or more quantum computing resources to solve the multiple computational tasks; and training the machine learning model to route received data representing a computational task to be performed using the (i) first set of data, (ii) input data, and (iii) second set of data. 用于训练机器学习模型以在包括至少个量子计算资源的系统中路由所接收的计算任务的方法、系统和装置。在个方面，种方法包括：获取第组数据，第组数据包括表示由系统先前执行的多个计算任务的数据；获取由系统先前执行