This article discusses novel protocols developed by researchers to estimate the Hamiltonian parameters of superconducting quantum processors, particularly focusing on bosonic excitations in Google’s Sycamore chip. These protocols are designed to improve precision in quantum simulations, addressing challenges in accurately identifying Hamiltonian frequencies. Using techniques such as superresolution and manifold optimization, the team was able to recover Hamiltonian dynamics even in large quantum systems involving up to 14 qubits. A key innovation was their TensorEsprit algorithm, which enabled more robust eigenfrequency recovery. Their work could pave the way for more accurate quantum simulations and contribute to advancements in quantum computing technology.
Please continue reading the full article under the following link:
#materials #materialsscience #materialsengineering #computationalchemistry #modelling #chemistry #researchanddevelopment #research #MaterialsSquare #ComputationalChemistry #Tutorial #DFT #simulationsoftware #simulation