Liquidity Optimization in Gross Settlement Systems with Quantum Reordering: Application to TARGET2∗
Building on our earlier quantum algorithm, this paper shows that reordering queued payments can significantly reduce liquidity needs. The algorithm performs well on smaller payment batches, while traditional algorithms can process larger batches and deliver greater savings. Machine learning also helps identify which payment patterns offer the greatest potential for improvement.