Simulations of quantum many-body systems are an important goal for nuclear and high-energy physics. Many-body problems involve systems that consist of many microscopic particles interacting at the level of quantum mechanics. They are much more difficult to describe than simple systems with just two particles. This means that even the most powerful conventional computers cannot simulate these problems.

Quantum computing has the potential to address this challenge using an approach called analog quantum simulation. To succeed, these simulations need theoretical approximations of how quantum computers represent many-body systems. In research on this topic, nuclear physicists at the University of Washington developed a new framework to systematically analyze the interplay of these approximations. They showed that the impact of such approximations can be minimized by tuning simulation parameters.

The study is published in the journal Physical Review A.