Qi ZHAO

Qi Zhao mainly engages in research on quantum information and quantum computing, including quantum simulation and quantum algorithms, quantum entanglement detection, and quantum resource theory.

In terms of quantum resource theory, Zhao and his collaborators developed efficient quantum entanglement detection and verification tools, bridging the theoretical gap in robust many-body entanglement detection. They were the first to propose and solve the one-shot coherence dilution problem, opening up a new research direction in this field.

When it comes to quantum simulation and algorithms, Zhao and his collaborators considered the average performance in quantum simulation and proposed a novel quantum simulation error analysis scheme. This work provided a new framework and speed-ups for quantum simulation algorithms. 

He and his collaborator revealed how quantum entanglement could expedite quantum simulation algorithms and proposed a general theory of variational quantum simulation. In addition, he contributed to the development of a hybrid quantum variational simulation algorithm based on tensor networks, which reduced the number of qubits required in quantum simulation tasks.

Zhao's research has pushed quantum simulation towards more physically based and practical applications, laying the foundation for future quantum simulations to achieve quantum supremacy.

In terms of quantum communication, he participated in the implementation of the first high-security, loophole-free device-independent quantum random number generation (DI-QRNG). Building on this security analysis, he contributed to the first demonstration of classical client quantum blind computing.

Zhao not only made significant innovative breakthroughs in quantum information and quantum computing, but also successfully bridged the gap between theory and experiment. His work promotes the future development of quantum technology and lays the foundation for more effective quantum computing and secure quantum information applications.