Efficient and Robust Characterization of Quantum Systems
This project focuses on benchmarking and testing quantum states and processes, through efficient, noise-robust and provable quantum state tomography, as well as novel validation and certification tools for quantum computing.
Solving Optimization Problems on NISQ Computers
One of the main bottlenecks of traditional quantum optimization protocols is that they require many classical-quantum iterations to converge. The main objective of this project is to dramatically reduce the number of classical-quantum iterations. This approach, which relies on combining advanced parametric minimization tools together with recent results in quantum information theory, enables the efficient estimation of physical quantities (observables) with precise control over estimation errors.
Algorithm for detecting quantum information leakage in qubit systems
The scientific goals of this project is to develop quantum algorithm for detecting potential leakage channels by using strongly-correlated (entangled) bipartite quantum systems. The correlations between the systems are specifically designed to probe and detect particular leakage error channels. The algorithm is suitable and has the flexibility to detect any leakage channel of concern; it is deterministic and allows one to detect the specific leakage channels with probability one.