About me

Previously, I completed a PhD at the University of Cambridge under the supervision of Prof Natalia Berloff and an M.Sc. under the supervision of Prof Tilman Enss in Heidelberg.
You can contact me via email at marvin.syed(at)strath.ac.uk.
Research interests
Supersolids and pattern formation in (ultra-)cold atoms

Physics-inspired optimization
Combinatorial optimization problems are frequently encountered throughout physics, computer science, biology, or finance. Many of them fall into a class called QUBO – Quadratic Unconstrained Binary Optimization. To physicists, QUBO problems are often more familiar when cast into the language of statistical mechanics and spins. Specifically, solving QUBO problems is completely equivalent to finding the ground state of a physical system called an Ising spin glass. This has prompted a line of research that aims at engineering physical systems that can efficiently emulate such Ising systems, and therefore solve QUBO problems. Examples include quantum annealers, analogue oscillator based systems called Ising machines, probabilistic bits, and more. One of my interests is trying to understand how such systems find their way towards the Ising ground state in the highly complex and nonconvex energy landscape they live in.