I will talk about quantum simulation algorithms based on the light-front formulation of quantum field theory. They will range from ab initio simulations with nearly optimal resource scalings to VQE-inspired methods available for existing devices.

Our work is greatly inspired by the analogy, first noted by Kenneth Wilson, between the light-front formulation of QFT and quantum chemistry. Our approach to simulating field theory is an alternative to lattice techniques; it allows one to use methods developed for quantum simulation of quantum chemistry.

Peter J. Love is an assistant professor of physics and astronomy at Tufts University.

His areas of expertise are:
Quantum Information, Quantum Simulation, Adiabatic Quantum Computation, and Computational Physics

Peter's research interests are:
Quantum information faces three basic questions. Firstly, what are quantum computers good for? Secondly, how do we build one? Thirdly, what will quantum information contribute if technological obstacles to constructing a large scale quantum computer prove insuperable? The first question is the search for problems which quantum computers can solve more easily than classical computers. The second is an investigation of which physical systems one could use to build a quantum computer. The third leads to the search for spinoffs in classical computation, and the question of where the classical/quantum boundary lies. I am interested in all three questions.

• Michael Kreshchuk, Shaoyang Jia, William M. Kirby, Gary Goldstein, James P. Vary, Peter J. Love, Light-Front Field Theory on Current Quantum Computers, https://arxiv.org/abs/2009.07885
• Michael Kreshchuk, William M. Kirby, Gary Goldstein, Hugo Beauchemin, Peter J. Love, Quantum Simulation of Quantum Field Theory in the Light-Front Formulation, https://arxiv.org/abs/2002.04016

Researchers should cite this work as follows:

• Peter J. Love (2021), "Simulating Field Theory in the Light-Front Formulation," https://nanohub.org/resources/34683.

  BibTex | EndNote

1. algorithms
2. chemistry
3. quantum chemistry
4. Quantum Field Theory
5. quantum science and information
6. Simulation
7. variational quantum eigensolver