在离子阱处理器上药物响应模型的温启动量子优化的可行性与最优恢复
Feasibility and optimum recovery in warm-start quantum optimization for a drug-response model on a trapped-ion processor
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中文总结 AI 辅助
本研究在离子阱处理器上评估温启动QAOA对药物响应模型的优化，发现其可行性提升但最优概率有限，贪心搜索和退火更有效，Grover混合器改善最优性。
中文摘要 AI 辅助
在包含七种化合物的药物响应模型上，IonQ Forte-1上的温启动量子近似优化算法（QAOA）返回有效赋值（即满足约束的比特串）的频率高于随机比特串，但仅此并不足以表明优化有效。在十二个参考电路中，理想QAOA仅在四个电路中将最优概率提升至均匀可行采样之上。硬件性能通常低于其自身的无噪声电路，而贪心搜索在200次目标函数评估内解决了所有硬件模型。扩展模拟显示，在35个CAMA-1面板中有28个面板相对于可行采样获得了增益，而在4个647-V面板中均无增益。退火算法在每个随机种子下解决了所有这些面板。在所有十个测试模型中，Grover混合器保持了可行性，并将最优概率提升至可行采样之上。我们分析了25个已完成的任务，包含来自18个电路和14个实例的5300次射击（shots）。编码使用6至35个量子比特，且最多有4900个可行赋值，我们枚举了这些赋值以确定精确的最优解。无噪声参考现在覆盖了原始的六个电路和六个更宽的电路。在35个量子比特下，有4900个可行赋值，理想可行性为35.85%，而硬件仅输出200个结果中的7个有效结果。其理想最优概率低于两个采样控制。电路从基于测量的单药和成对响应构建的模型中采样赋值。
英文摘要
On a seven-compound drug-response model, warm-start quantum approximate optimization (QAOA) on IonQ Forte-1 returned valid assignments more often than random bitstrings, but this alone did not show effective optimization. Ideal QAOA raised optimum probability above uniform feasible sampling in only four of twelve reference circuits. Hardware often fell below its own noiseless circuits, while greedy search solved all hardware models within 200 objective evaluations. Expanded simulations showed a gain over feasible sampling in 28 of 35 CAMA-1 panels and none of four 647-V panels. Annealing solved all these panels in every seed. A Grover mixer preserved feasibility and improved optimum probability over feasible sampling in all ten tested models. We analyzed 25 completed tasks containing 5,300 shots from 18 circuits and 14 instances. The encodings use 6-35 qubits and at most 4,900 feasible assignments, which we enumerated to establish exact optima. Noiseless references now cover both the original six circuits and six wider circuits. At 35 qubits, with 4,900 feasible assignments, ideal feasibility was 35.85%, compared with 7 of 200 valid hardware outputs. Its ideal optimum probability was below both sampling controls. The circuits sample assignments in a model built from measured single-agent and pairwise responses.
