Transpile and optimize PennyLane circuits into trapped-ion gates.

Adaptive quantum networks in practice: superposed graph topologies and operator-space spatialization, with reproducible hardware-relevant demos and figures.

M.Sc. Dissertation – Noise-Adaptive Reinforcement Learning Strategies for Qubit Routing

Efficient synthesis of Fibonacci anyon circuits

rqm-optimize compresses single-qubit gate runs into shorter SU(2)-equivalent forms, reducing unnecessary depth without changing the user workflow.

Topology-aware modular quantum layout and abstract routing optimizer for Qiskit. Reduces communication cost and inter-chip hops on multi-chip hardware graphs.

Prototype optimizer for dynamic-circuit qubit placement under classical feed-forward delay and hybrid quantum/dynamic locality objectives.