Spatio-temporal Path Optimization for Stabilizer-Code-Protected Quantum Networks

📅 2026-08-23
📈 Citations: 0
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🤖 AI Summary
本文解决了量子网络中稳定码保护的时空路径优化问题,通过提出单流和多流路由算法来降低传输成本和拥塞。
📝 Abstract
Quantum Error Correction~(QEC)-protected direct transmission is a fundamental approach to preserve fragile quantum states while they are physically forwarded across noisy quantum networks. When a logical qubit traverses multiple hops, selected QEC-capable nodes may recover the encoded state before it continues along the route. The feasibility and cost of the final transmission strategy therefore depend on how we jointly choose the path, the recovery locations, and the protection schemes. In this paper, we formulate and analyze a cross-layer spatio-temporal path optimization problem for block-style stabilizer-code-protected direct transmission. Our main results include fixed-scheme and flexible-scheme single-flow routing algorithms, as well as a multi-flow routing algorithm. The framework developed in this paper can serve as an algorithmic building block for QEC-aware routing under logical-error and logical-lifetime constraints. Simulations show that it reduces single-flow average routing cost by approximately 25--30\% over Decode-Always and lowers multi-flow throughput-normalized congestion by approximately 28--31\% over Greedy-Assignment.
Problem

Research questions and friction points this paper is trying to address.

Quantum Error Correction
Spatio-temporal Path Optimization
Stabilizer Codes
Quantum Networks
Logical Qubit
Innovation

Methods, ideas, or system contributions that make the work stand out.

Spatio-temporal Path Optimization
Stabilizer Code
Quantum Error Correction
Routing Algorithm
QEC-aware Routing
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