AF: Small: The Power of Randomness in Decision and Verification

AF：小：决策和验证中随机性的力量

• 批准号: 2312540
• 负责人: Dieter van Melkebeek
• 金额: $ 60万
• 依托单位: University of Wisconsin-Madison
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-05-01 至 2026-04-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2312540&HistoricalAwards=false
• 关键词: AF; Small; Power; Randomness; Decision

The ability to make random choices seems to simplify several computational tasks. For example, in order to decide whether two formulas like x*x-y*y and (x+y)*(x-y) are equivalent, one can merely plug in random values for x and y and verify whether the two formulas yield the same value. Even for complicated formulas, this is a reliable strategy, easier than manipulating the abstract formulas. A more involved use of randomness consists of a way to spot-check computations that requires significantly less effort than performing the computations themselves---a feature of paramount importance in the day and age of delegating computations to the cloud. This project investigates the potential of achieving similar efficiency in decision and verification without randomness. It incorporates graduate and undergraduate training and education, and includes the development of a textbook that makes computational thinking and the area of quantum algorithms more accessible to a broader public.The project explores two new directions in the area of derandomization. In the setting of polynomial-time decision procedures with bounded error (i.e., bounded-error probabilistic polynomial time class, BPP), the investigators propose a principled approach towards derandomizing Polynomial Identity Testing (PIT) based on the notion of a vanishing ideal. PIT captures the above formula equivalence problem and plays a central role in the area of derandomization as known results suggest that derandomizing PIT may enable derandomizing all of BPP. The investigators already characterized the vanishing ideal of a widely used pseudorandom generator for PIT, plan to develop the approach for other generators, and to research the ramifications. In the setting of polynomial-time interactive verification processes known as Arthur-Merlin (AM) protocols, the investigators want to further develop the connections between lower bounds and derandomization, in particular by adapting to the setting of AM the instance-wise connection that was recently established for the setting of BPP.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

做出随机选择的能力似乎简化了几项计算任务。例如，为了确定两个公式（如x*x-y*y和（x+y）*（x-y））是否等价，只需插入x和y的随机值并验证两个公式是否产生相同的值。即使对于复杂的公式，这也是一种可靠的策略，比操纵抽象的公式更容易。随机性的一个更复杂的使用包括一种抽查计算的方法，这种方法比自己执行计算所需的工作量要少得多-在将计算委托给云计算的时代，这是一个至关重要的特征。本项目研究在没有随机性的情况下，在决策和验证中实现类似效率的潜力。该项目包括研究生和本科生的培训和教育，并包括编写一本教科书，使更广泛的公众更容易接触到计算思维和量子算法领域。该项目探索了去随机化领域的两个新方向。在具有有界误差的多项式时间决策过程的设置中（即，有界误差概率多项式时间类，BPP），研究人员提出了一种原则性的方法，对去随机化多项式身份测试（PIT）的基础上消失的理想的概念。PIT捕获了上述公式等价问题，并且在去随机化领域中起着核心作用，因为已知的结果表明，去随机化PIT可以使得能够去随机化所有BPP。研究人员已经描述了广泛使用的PIT伪随机发生器的消失理想，计划为其他发生器开发方法，并研究其后果。在被称为亚瑟-梅林（AM）协议的多项式时间交互式验证过程中，研究人员希望进一步发展下界和去随机化之间的联系，特别是通过适应AM的设置，该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准。