Demonstrated with programmable superconducting qubits
Posted on November 29, 2022
Experimental Quantum Adversarial Learning
Demonstrated with programmable superconducting qubits
Posted on November 29, 2022
📢 Our work about experimentally demonstrating quantum adversarial learning 🤺 is now published in Nat. Comput. Sci. 🖥️, which has also been selected as the cover for the November issue!
The cover image and a schematic illustration:
Quantum adversarial learning with classically accessed data (medical MRI scan data):
Generating adversarial examples of quantum data (we choose thermal/localized quantum many-body states as the dataset, which is obtained by evolving a system with the Aubry–André Hamiltonian):
This is a very nice collaboration with the superconducting team from Zhejiang University, Prof. Dong-Ling Deng, and Prof. Jacob Biamonte 😁