End-to-end quantum chemistry simulations with reduced errors

Error reduction through suppression, mitigation, or correction is essential to enable quantum chemistry applications on a larger number of qubits accessible in Noisy Intermediate-Scale Quantum (NISQ) computers. We focus on the development of quantum chemistry algorithms running within the hybrid classical-quantum Variational Quantum Eigensolver (VQE) approach. VQE has been successfully demonstrated on quantum computers with a small number of qubits, but its performance on larger systems is currently limited by various sources of experimental noise. Our target is to develop quantum algorithms and computational circuits that exploit various error mitigation and correction techniques for initialization, gate operations, and measurement. This is necessary to reduce errors introduced by experimental conditions in NISQ systems. We compare theoretical and simulation results with results obtained in experiments.