COMPAS Breakthrough Links Quantum Processors for Faster Algorithms
Researchers have developed a new quantum computing method called COMPAS to tackle scaling challenges. The approach connects multiple quantum processors (QPUs) to run complex algorithms more efficiently. It was created by Brayden Goldstein-Gelb, Kun Liu, and John M. Martyn from Brown, Yale, and Harvard universities, along with Pacific Northwest National Lab.
Quantum computing faces difficulties when running advanced algorithms across networks. To address this, scientists have been working on networking solutions, algorithm improvements, and entanglement research. Their goal is to build and refine quantum networks while exploring how entanglement behaves in distributed systems.
COMPAS provides a way to overcome limitations in scaling quantum computers by linking multiple QPUs. The method’s efficiency in trace estimation and entanglement management could help advance near-term quantum computing. Researchers continue to explore distributed architectures to build more powerful quantum systems.
