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P2 Qompress: Efficient Compilation for Ququarts Exploiting Partial and Mixed Radix Operations for Communication Reduction

Qompress:利用部分与混合基数操作减少通信的 Ququart 高效编译
ASPLOS Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 22023匹配度 1/10 · 论文属于量子计算编译与量子最优控制,目标是用 ququart 编码减少量子通信开销;与用户关注的 ML/Agent 静态分析、LLM 改进程序分析、浮点程序分析、贝叶斯程序分析等方向均无直接关联,仅“编译”与 PL 有非常微弱的联系。引用 6 inbox
Andrew Litteken, Lennart Maximilian Seifert, Jason Chadwick, Natalia Nottingham, Frederic T. Chong, Jonathan M. Baker
crossref: 2026-09-12

AI 速览

一句话:提出 Qompress,将两个 qubit 压缩编码到一个四态 ququart,并用最优控制门减少量子通信开销。

量子计算硬件处于资源受限阶段,门保真度、相干时间与计算单元数量有限。现有设备多采用二元 qubit,每个物理单元只利用 0/1 两态,但许多平台可通过操控访问更多能级。本文提出 Qompress,通过压缩方案自动将两个 qubit 编码进一个四态 ququart,并利用部分基数与混合基数操作减少量子通信。作者使用量子最优控制设计概念验证门,使这些编码 qubit 上能够完整复现标准 qubit 计算,从而在证明编码计算可行性的同时降低通信开销。

问题
量子硬件资源有限,传统二元 qubit 编码未充分利用物理单元的多能级能力,且多量子比特通信开销大。
方法
提出自动压缩方案将两个 qubit 编码进一个四态 ququart,利用部分/混合基数操作,并通过量子最优控制设计可在编码 qubit 上复现标准计算的门。
评估
以量子最优控制设计概念验证门来验证编码计算可行性,并关注通信开销降低;摘要未报告具体基准测试结果。
原文摘要(Abstract)

Quantum computing is in an era of limited resources. Current hardware lacks high fidelity gates, long coherence times, and the number of computational units required to perform meaningful computation. Contemporary quantum devices typically use a binary system, where each qubit exists in a superposition of the 0 and 1 states. However, it is often possible to access the 2 or even 3 states in the same physical unit by manipulating the system in different ways. In this work, we consider automatically encoding two qubits into one four-state ququart via a compression scheme. We use quantum optimal control to design efficient proof-of-concept gates that fully replicate standard qubit computation on these encoded qubits.

链接与引用

DOI 原文 · PDF(开放获取) ·

BibTeX
@inproceedings{paperbot10027,
  title = {Qompress: Efficient Compilation for Ququarts Exploiting Partial and Mixed Radix Operations for Communication Reduction},
  author = {Andrew Litteken and Lennart Maximilian Seifert and Jason Chadwick and Natalia Nottingham and Frederic T. Chong and Jonathan M. Baker},
  booktitle = {ASPLOS},
  year = {2023},
  doi = {10.1145/3575693.3575726}
}