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MINIMIZING POLYNOMIAL FUNCTIONS ON QUANTUM COMPUTERS

机译:最小化量子计算机上的多项式函数

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This expository paper reviews some of the recent uses of computational algebraic geometry in classical and quantum optimization. The paper assumes an elementary background in algebraic geometry and adiabatic quantum computing (AQC), and concentrates on presenting concrete examples (with Python codes tested on a quantum computer) of applying algebraic geometry constructs: solving binary optimization, factoring, and compiling. Reversing the direction, we also briefly describe a novel use of quantum computers to compute Groebner bases for toric ideals. We also show how Groebner bases play a role in studying AQC at a fundamental level within a Morse theory framework. We close by placing our work in perspective, by situating this leg of the journey, as part of a marvelous intellectual expedition that began with our ancients over 4000 years ago.
机译:本展品纸质审查了近期在经典和量子优化中计算代数几何的一些用途。本文假设代数几何和绝热量子计算(AQC)中的基本背景,并专注于呈现具体示例(在量子计算机上测试的Python代码)应用代数几何构建体:解决二进制优化,分解和编译。逆转方向,我们还简要描述了一种新颖的量子使用量子计算机来计算Toric理想的Groebner基础。我们还展示了格罗布纳基地如何在莫尔斯理论框架内以基本级别研究AQC发挥作用。我们通过在这个旅程中将我们的工作置于透视之地,作为一个奇妙的智力探险的一部分,从我们的古人开始超过4000年前开始。

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  • 来源
    《Science and Culture》 |2019年第6期|152-162|共11页
  • 作者单位

    Quantum Computing Group Tepper School of Business Carnegie Mellon University Pittsburgh PA 15213;

    Quantum Computing Group Tepper School of Business Carnegie Mellon University Pittsburgh PA 15213;

    Quantum Computing Group Tepper School of Business Carnegie Mellon University Pittsburgh PA 15213;

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  • 正文语种 eng
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