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P2 Trade-offs between classical and quantum space using spooky pebbling

使用 spooky pebbling 的经典与量子空间权衡
LMCS vol.Volume 21, Issue 42025匹配度 1/10 · 该论文研究量子计算中的 spooky pebble game、量子空间上界与 PSPACE 完全性,属于量子复杂度/理论计算机科学,与用户关注的静态分析、LLM/Agent、浮点程序分析和贝叶斯程序分析几乎没有交集。虽然涉及 SAT 求解器评估,但目标是 pebble game 策略而非程序分析或 LLM 辅助验证。引用 3 inbox
Arend-Jan Quist, Alfons Laarman
crossref: 2026-09-10

AI 速览

一句话:首次将 spooky pebble game 用于一般电路,证明量子空间上界与 PSPACE 完全性,并给出 SAT 求解器评估权衡。

Pebble game 用于研究空间/时间权衡;spooky pebble game 近期被提出,用于分析量子计算机模拟经典电路时经典空间、量子空间与时间的权衡。本文首次将该框架应用于一般电路,证明了该游戏中量子空间的上界,并证明求解该游戏是 PSPACE 完全的。作者还提出一个结合 SAT 求解器与启发式优化器的求解器,用于计算最优的经典空间/量子空间/时间权衡。实验表明,在有限运行时间内,该求解器能找到在考虑经典空间时降低量子空间的策略,说明该模型有助于减少量子空间。

问题
在量子计算机上模拟经典电路时,如何刻画并优化经典空间、量子空间与时间之间的权衡。
方法
将 spooky pebble game 框架推广到一般电路,证明量子空间上界与求解的 PSPACE 完全性,并实现基于 SAT 与启发式优化的求解器。
评估
通过计算最优经典空间/量子空间/时间权衡进行经验评估;在有限运行时间内找到能降低量子空间的策略。
原文摘要(Abstract)

Pebble games are used to study space/time trade-offs. Recently, spooky pebble games were introduced to study classical space / quantum space / time trade-offs for simulation of classical circuits on quantum computers. In this paper, the spooky pebble game framework is applied for the first time to general circuits. Using this framework we prove an upper bound for quantum space in the spooky pebble game. We also prove that solving the spooky pebble game is PSPACE-complete. Moreover, we present a solver for the spooky pebble game based on satisfiability solvers combined with heuristic optimizers. This spooky pebble game solver was empirically evaluated by calculating optimal classical space / quantum space / time trade-offs. Within limited runtime, the solver could find a strategy reducing quantum space when classical space is taken into account, showing that the spooky pebble model is useful to reduce quantum space.

链接与引用

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BibTeX
@article{abs-2401-10579,
  title = {Trade-offs between classical and quantum space using spooky pebbling},
  author = {Arend-Jan Quist and Alfons Laarman},
  journal = {Logical Methods in Computer Science},
  volume = {Volume 21, Issue 4},
  year = {2025},
  doi = {10.46298/lmcs-21(4:29)2025}
}