Studying nature directly from fundamental degrees of freedom is often computationally limited by 

physical characteristics of exponentially growing configuration (Hilbert) spaces with particle number 

and signal-to-noise problems. This leaves many systems of interest to nuclear and particle physics 

intractable for known algorithms with current and foreseeable classical computational resources. By 

leveraging their natural capacity to describe entangled many-body states, the use of quantum systems 

themselves to form a computational framework is envisioned to be advantageous.  In this talk, I will 

share a developing perspective on the entanglement structure of quantum fields and discuss implications 

for their efficient simulation on quantum computational architectures.