Hybrid Quantum-Classical Preparation of Chemical Ground States Using Tensor Network-Based Quantum Circuits

In this talk we present a novel approach for the design of quantum circuits modelled on tensor networks, for the purpose of preparing electronic ground states of chemical systems on noisy quantum hardware. Our focus is on the simulation of strongly correlated molecular systems with no underlying lattice symmetry, for which near-term hybrid quantum algorithms may hold the potential for realizing practical quantum advantage over purely classical tensor network methods such as DMRG. We demonstrate the effectiveness of our tensor network-based quantum circuit ansatz on small chemical systems and show that the cost in terms of quantum resources is competitive with comparable hybrid algorithms.