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arXiv 2411.02486quant-phhep-lathep-phnucl-th

在120量子比特上标量场论中散射的可扩展量子模拟

Scalable Quantum Simulations of Scattering in Scalar Field Theory on 120 Qubits

Nikita A. Zemlevskiy

AI总结:

本研究利用IBM的ibm_fez量子计算机的120个量子比特,模拟了一维标量场论中的波包散射,通过变分量子算法构建可扩展线路并引入新错误缓解策略,成功提取了与经典模拟一致的结果。

摘要:

在量子计算机上对基本粒子碰撞的模拟预计将比经典方法具有指数级优势,并有望促进对新物理学的探索。此外,标量场论中的散射已被证明是BQP完备的,这使其成为量子计算能够高效解决的代表性问题。作为迈向碰撞过程大规模量子模拟的一步,本研究利用IBM的Heron超导量子计算机ibm_fez的120个量子比特,模拟了一维标量场论中波包的散射。压缩真空制备、波包初始化和时间演化的变分线路是使用经典计算资源确定的。通过利用理论中状态的物理性质(如对称性和局域性),该变分量子算法构建了可用于模拟任意大小系统的可扩展线路。引入了一种缓解量子模拟错误的新策略,使得能够从包含多达4924个双量子比特门且双量子比特门深度为103的线路中提取有意义的结果。可以清楚地观察到相互作用的影响,并且发现其与经典矩阵乘积态模拟相一致。本文还讨论了在量子计算机上模拟高能非弹性碰撞所需的发展。

英文摘要:

Simulations of collisions of fundamental particles on a quantum computer are expected to have an exponential advantage over classical methods and promise to enhance searches for new physics. Furthermore, scattering in scalar field theory has been shown to be BQP-complete, making it a representative problem for which quantum computation is efficient. As a step toward large-scale quantum simulations of collision processes, scattering of wavepackets in one-dimensional scalar field theory is simulated using 120 qubits of IBM's Heron superconducting quantum computer ibm_fez. Variational circuits compressing vacuum preparation, wavepacket initialization, and time evolution are determined using classical resources. By leveraging physical properties of states in the theory, such as symmetries and locality, the variational quantum algorithm constructs scalable circuits that can be used to simulate arbitrarily-large system sizes. A new strategy is introduced to mitigate errors in quantum simulations, which enables the extraction of meaningful results from circuits with up to 4924 two-qubit gates and two-qubit gate depths of 103. The effect of interactions is clearly seen, and is found to be in agreement with classical Matrix Product State simulations. The developments that will be necessary to simulate high-energy inelastic collisions on a quantum computer are discussed.

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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