Adam Callison

I am currently a post-doctoral researcher in the field of Quantum Computing at University College London. My current research is focused on gate-based quantum algorithms for classical optimization problems. Prior to this, I did my PhD between Imperial College London and Durham University, working on continuous-time quantum algorithms for classical optimization problems. I am a keen programmer and, as my research tends to be computational in nature, my main research tool is the Python language. This includes many useful libraries, such as NumPy, SciPy, pandas and matplotlib.

Python

Computer Science Problems
An in-progress repo in which I am completing the exercises from David Kopec's Classic Computer Science Problems in Python. I am using this to improve my general programming skills and my use of pytest

QAOAtools
A work-in-progress set of tools for simulating the Quantum Approximate Optimization Algorithm at an abstract level

QAE2
A work-in-progress set of tools for simulating the Maximum-Likelihood Quantum Amplitudes Estimation at an abstract level (now with some circuit-based simulation tools implemented via Qiskit)

CCPCrys An in-progress repo for building a quantum annealing problem Hamiltonian for a new approach to the phasing problem in macromolecular crystallography that I am currently researching.

More
My GitHub is available at https://github.com/adamcallison

Academic Publications

I have a number of academic publications. See my publications page for a full list.

Currently Reading

• If This Book Exists, You're in the Wrong Universe - Jason Pargin
• Classic Computer Science Problems in Python - David Kopec

Links