Quantum information tools for simulating quantum field theories

Quantum field theory lies at the heart of both condensed-matter and high energy physics. In some parameter regimes, extracting quantitiative predictions from quantum field theories, particularly regarding dynamical quantities such as scattering probabilities, appears to be intractable using conventional techniques. Here I will discuss new advances in quantum algorithms for simulating quantum field theories which achieve exponential speedup over known classical algorithms and polynomial speedup over prior quantum algorithms, and also describe new quantum-information-inspired classical algorithms for computing equal-time correlation functions. Prior knowledge of quantum field theory will not be assumed. This is joint work with Keith Lee, John Preskill, Hari Krovi, Troy Sewell, and Ali Moosavian.