Initial-State Dependent Optimization of Controlled Gate Operations with Quantum Computer

There is no unique way to encode a quantum algorithm into circuit. With limited qubit counts, connectivity, and coherence times, circuit optimization essential make the best use of near-term devices. We introduce new optimizer called AQCEL, which aims remove redundant controlled operations from gates, depending on initial states Especially, AQCEL can unnecessary controls multi-controlled gates in polynomial computational resources, even when all relevant qubits are entangled, by identifying zero-amplitude basis using computer. As benchmark, deployed designed model final state radiation high energy physics. For this we have demonstrated that AQCEL-optimized produce equivalent with much smaller number gates. Moreover, deploying noisy intermediate scale computer, it efficiently produces approximates original fidelity truncating low-amplitude below certain thresholds. Our technique useful for wide variety algorithms, opening up possibilities further simplify circuits be more effective real