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Hoh Peter In

2 accepted papers

2026

zkQML: Verifiable and Privacy-Preserving Inference for Quantum Machine Learning (Student Abstract)

AAAI 2026technical

Quantum machine learning (QML) has attracted growing interest for their ability to achieve superior performance with significantly fewer parameters. However, the high cost and scarcity of current hardware push inference to cloud-hosted quantum devices, creating a tension between verifiability and co

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