PristiQ: A Co-Design Framework for Preserving Data Security of Quantum Learning in the Cloud

no code implementations • 20 Apr 2024 • Zhepeng Wang, Yi Sheng, Nirajan Koirala, Kanad Basu, Taeho Jung, Cheng-Chang Lu, Weiwen Jiang

Experimental results on simulation and the actual IBM quantum computer both prove the ability of PristiQ to provide high security for the quantum data while maintaining the model performance in QML.

Cloud Computing Quantum Machine Learning