Dr. Alessandro Santini

Hybrid Stabilizer Tensor Network Algorithms

We introduce novel hybrid approaches that integrates tensor network methods with the stabilizer formalism to tackle the challenges of simulating many-body quantum systems. These methods improve the ability to accurately model unitary dynamics and compute expectation values of observables while mitigating the growth of entanglement typically encountered in classical simulations. We will discuss the fundamental concepts of tensor networks and the stabilizer formalism. Then, by leveraging the strengths of both techniques, we discuss Clifford dressed Matrix Product Operators for the dynamics of many-body quantum systems.