MFAOA.jl
Solves QUBO and Max-Cut problems with the Mean-Field Approximate Optimization Algorithm (MFAOA). Works standalone or as a JuMP optimizer.
group leader · prospective founder
I lead Quicopt — a quantum-inspired optimization spin-off out of Forschungszentrum Jülich.
Previously: PhD in condensed-matter and many-body theory at the University of Bonn (summa cum laude, 2021). MSc and BSc from ETH Zurich.
Quicopt builds optimization software inspired by quantum physics for problems that established solvers handle poorly. It runs on standard hardware, no QPU required. Hard physics, applied software, shipped.
My work runs from non-equilibrium field theory through mean-field optimization to beyond-mean-field corrections, with sidelines into field-theoretic methods for stochastic processes (J. Phys. A) and experimental photon condensation (Science) — first-, last-, and sole-author contributions among them.
Quantum Simulation of Strongly Correlated Fermion-Phonon Models in Circuit QED
Kondo echo dynamics of terahertz-pumped heavy fermions
Mean-Field Approximate Optimization Algorithm
Adiabatic bottlenecks in quantum annealing and nonequilibrium dynamics of paramagnons
New manuscripts are in preparation, extending the line above. Titles and preprints will appear here as they do.
Solves QUBO and Max-Cut problems with the Mean-Field Approximate Optimization Algorithm (MFAOA). Works standalone or as a JuMP optimizer.

Exact simulation of the Quantum Approximate Optimization Algorithm (QAOA), with expectation values and their gradients. About 30 qubits fit on a laptop.

An adaptive solver for Kadanoff–Baym equations, the two-time equations of motion of non-equilibrium Green's functions.