Distributed quantum architecture search

Understand

Variational quantum algorithms, inspired by neural networks, have become a novel approach in quantum computing.

• However, designing efficient parameterized quantum circuits remains a challenge.
• Quantum architecture search tackles this by adjusting circuit structures along with gate parameters to automatically discover high-performance circuit structures.
• In this study, we propose an end-to-end distributed quantum architecture search framework, where we aim to automatically design distributed quantum circuit structures for interconnected quantum processing units with specific qubit connectivity.