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arXiv 2501.06100quant-phcs.CE
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用于模拟耦合经典振子的实用量子电路实现

Practical Quantum Circuit Implementation for Simulating Coupled Classical Oscillators

Natt Luangsirapornchai, Peeranat Sanglaor, Apimuk Sornsaeng, Stephane Bressan, Thiparat Chotibut, Kamonluk Suksen, Prabhas Chongstitvatana

AI总结:

针对一维弹簧-质量耦合振子,提出融合块编码、QSVT与振幅放大的量子电路实现,门复杂度在均匀情形达 O(log²N log(1/ε)),且数值结果与经典求解器一致。

摘要:

模拟大规模耦合振子系统给经典算法带来了巨大的计算挑战,尤其是在热力学极限下进行第一性原理分析时。受 Babbush 等人提出的量子算法框架启发,我们提出并实现了一种用于模拟一维弹簧-质量系统的详细量子电路构造。我们的方法结合了关键量子子程序,包括块编码、量子奇异值变换(QSVT)和振幅放大,以实现与模拟经典振子动力学相关的幺正时间演化算符。在均匀弹簧-质量设置下,我们的电路构造所需的门复杂度为 O(log_2^2 N log_2(1/ε)),其中 N 是振子数量,ε 是近似的目标准确度。对于更一般的非均匀弹簧-质量系统,总门复杂度为 O(N log_2 N log_2(1/ε))。两种设置都需要 O(log_2 N) 个量子比特。数值模拟在所有测试配置下均与经典求解器一致,表明这种基于电路的哈密顿量模拟方法可以显著降低计算成本,并有可能在未来的量子硬件上实现更大规模的多体研究。

英文摘要:

Simulating large-scale coupled-oscillator systems presents substantial computational challenges for classical algorithms, particularly when pursuing first-principles analyses in the thermodynamic limit. Motivated by the quantum algorithm framework proposed by Babbush et al., we present and implement a detailed quantum circuit construction for simulating one-dimensional spring-mass systems. Our approach incorporates key quantum subroutines, including block encoding, quantum singular value transformation (QSVT), and amplitude amplification, to realize the unitary time-evolution operator associated with simulating classical oscillators dynamics. In the uniform spring-mass setting, our circuit construction requires a gate complexity of $\mathcal{O}\bigl(\log_2^2 N\,\log_2(1/\varepsilon)\bigr)$, where $N$ is the number of oscillators and $\varepsilon$ is the target accuracy of the approximation. For more general, heterogeneous spring-mass systems, the total gate complexity is $\mathcal{O}\bigl(N\log_2 N\,\log_2(1/\varepsilon)\bigr)$. Both settings require $\mathcal{O}(\log_2 N)$ qubits. Numerical simulations agree with classical solvers across all tested configurations, indicating that this circuit-based Hamiltonian simulation approach can substantially reduce computational costs and potentially enable larger-scale many-body studies on future quantum hardware.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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