Transpile and optimize PennyLane circuits into trapped-ion gates.

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

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

Efficient synthesis of Fibonacci anyon circuits

Ancilla-optimized quantum circuit for Hamming weight computation with reduced T-gate cost using phase encoding and inverse QFT (Qiskit).

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.

Compiling equivariant quantum neural networks can break their symmetry at the structural level, with up to 22.5% CZ-count asymmetry between symmetry-related sparse-graph inputs on IBM Heron's Fez. We classify ansätze by where the input enters and fix the affected case via compile-once-and-relabel.

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