Speaker
Description
Variational quantum algorithms (VQAs) have become an indispensable tool for noisy near-term quantum computation, enabling small-scale simulations on present-day hardware. So far, however, their success was mainly limited to optimization problems. The go-to method for dynamics remains Trotter-evolution, relying on deep circuits and thus hampered by the substantial limitations of available quantum technology. Despite the development of VQAs for dynamics, their capabilities and feasibility are yet to be assessed. In this study, we investigate the potential of this technique by simulating a spin-boson model in different physical regimes and under varying levels of hardware noise. Furthermore, we compare to Trotter-evolution and make scaling predictions for both algorithms.
