Verifiable cloud-based variational quantum algorithms
Yang, Junhong, Wang, Banghai, Quan, Junyu, Li, Qin
–arXiv.org Artificial Intelligence
Variational quantum algorithms (VQAs) have shown potential for quantum advantage with noisy intermediate-scale quantum (NISQ) devices for quantum machine learning (QML). However, given the high cost and limited availability of quantum resources, delegating VQAs via cloud networks is a more practical solution for clients with limited quantum capabilities. Recently, Shingu et al.[Physical Review A, 105, 022603 (2022)] proposed a variational secure cloud quantum computing protocol, utilizing ancilla-driven quantum computation (ADQC) for cloud-based VQAs with minimal quantum resource consumption. However, their protocol lacks verifiability, which exposes it to potential malicious behaviors by the server. Additionally, channel loss requires frequent re-delegation as the size of the delegated variational circuit grows, complicating verification due to increased circuit complexity. This paper introduces a new protocol to address these challenges and enhance both verifiability and tolerance to channel loss in cloud-based VQAs.
arXiv.org Artificial Intelligence
Sep-3-2024
- Country:
- Europe > United Kingdom
- England > Cambridgeshire > Cambridge (0.04)
- Asia > China
- Guangdong Province > Guangzhou (0.04)
- Europe > United Kingdom
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- Research Report (0.82)
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