Reducing the quantum resource requirements for simulating molecules: Generalized entanglement forging

The advent of new generation of quantum computers with better error rates and a larger number of qubits have opened the avenues for simulating larger molecular systems using quantum algorithms. To further push the boundary of what quantum computers can achieve, we need algorithmic advances that enable the simulation of larger and more complex molecules with fewer quantum resources. In this talk we will present a new, chemically inspired algorithm that generalizes the entanglement forging method published in 2022 to enhance the simulation of electronic structure Hamiltonians using half the number of qubits typically required. In addition, we will discuss results obtained by applying this algorithm to molecular systems with varying active space sizes, along with important techniques used to achieve accurate results from large scale quantum hardware experiments.