Christopher Culver Email & Phone Number

Applying quantum computing and machine learning methods to particle physics theories that extend the standard model.Employing different maps of physical degrees of freedom onto qubits to compare efficiency for quantum algorithms.Using the VQE and variational neural networks to compute the ground state energy of simple supersymmetric systems to verify correctness and judge applicability to complicated systems.

Predicted subatomic particle properties with Monte Carlo simulations and compared to experimental measurements.Learned high performance computing and managed projects on different supercomputing systems.Wrote CPU/GPU code in C++/CUDA for numerically expensive applications. Analyzed data and created publication quality plots in Mathematica.Created a workflow to generalize and automate the aforementioned code for different subatomic particles.

Worked and taught alongside a professor in a collaborative classroom environment.

Analyzed an algorithm to solve linear systems which has applicability across many domains.

Self-taught fundamentals of quantum computing and informed colleagues about the state of the art of the field.Ran algorithms on quantum computers to understand the physical limitations of quantum computing.

Doctor Of Philosophy - Phd, Physics

Master Of Philosophy - Mphil, Physics

Bachelor Of Science - Bs, Physics