论文标题
量子整数编程（QUIP）47-779：讲义
Quantum Integer Programming (QuIP) 47-779: Lecture Notes
论文作者
论文摘要
这部关于量子整数编程（QUIP）的讲座系列 - 由Sridhar Tayur教授，David E. Bernal教授和Davide Venturelli博士（CMU和USRA之间的合作）在2020年秋季的亚马逊制造商之间的支持 - 旨在为Integer编程和近期量级和量子量的潜在的学生提供了针对学生和研究人员的兴趣。 最初是为Tepper商学院课程47-779（在CMU）创建的，这些课程也用于ID5840（在IIT-Madras，由Anil Prabhakar教授和Prabha Mandayam教授），他们的学生（每次讲座的开头列出）是SCRIBES。 CMU量子计算小组的DOC Vikesh Siddhu博士在讲座，学生项目和校对此抄写员的过程中协助。 通过这些讲座，人们将学会提出问题并将其映射到二次不受限制的二进制优化（QUBO）问题，了解各种映射和技术，例如Ising模型，Graver增强多态算法（GAMA），模拟或量子的模拟或量子退火和QAOA和QAOA，以及使用这些量化量和类别的方法和类别方法和类别方法的想法。
This lecture series on Quantum Integer Programming (QuIP) -- created by Professor Sridhar Tayur, David E. Bernal, and Dr. Davide Venturelli, a collaboration between CMU and USRA, with the support from Amazon Braket during Fall 2020 -- is intended for students and researchers interested in Integer Programming and the potential of near term quantum and quantum-inspired computing in solving optimization problems. Originally created for Tepper School of Business course 47-779 (at CMU), these were also used for the course ID5840 (at IIT-Madras, by Professors Anil Prabhakar and Prabha Mandayam) whose students (listed at the beginning of each lecture) were scribes. Dr. Vikesh Siddhu, post-doc in CMU Quantum Computing Group, assisted during the lectures, student projects, and with proof-reading this scribe. Through these lectures one will learn to formulate a problem and map it to a Quadratic Unconstrained Binary Optimization (QUBO) problem, understand various mapping and techniques like the Ising model, Graver Augmented Multiseed Algorithm (GAMA), Simulated or Quantum Annealing and QAOA, and ideas on how to solve these Integer problems using these quantum and classical methods.
