利用超导量子比特网络对轴子暗物质的多参数传感
Multiparameter sensing of axion dark matter with superconducting-qubit networks
- Tohoku University（东北大学）
机构由 AI 辅助整理，请以论文原文为准。
AI总结：
提出利用纠缠超导量子比特网络直接探测QCD轴子暗物质，通过将未知相位作为额外参数构建双参数量子估计框架，结合贝叶斯推断优化网络，在0.1-10微电子伏特质量范围内准确恢复KSVZ和DFSZ耦合，且对退相干和门误差鲁棒。
AI中文摘要：
我们提出了一种量子传感器网络，用于利用纠缠的超导量子比特直接探测量子色动力学（QCD）轴子暗物质。在静态磁场存在下，振荡的轴子场诱导一个相干的量子比特旋转，该旋转由一个编码角描述，该编码角与轴子-光子耦合以及一个未知的暗物质相位成正比。将该相位视为一个额外的未知参数，将轴子探测转化为一个双参数量子估计问题。我们在笛卡尔坐标中表述这些信号，从而避免了弱信号区域中出现的奇异性，并为多参数量子估计建立了一个正则框架。利用该框架，我们优化了量子传感器网络，并将其与贝叶斯推断相结合，以重建轴子-光子耦合。优化后的协议在质量范围$m_a\in[0.1,10]~\mu{\rm eV}$内准确恢复了KSVZ和DFSZ基准耦合，推广到以前未见过的质量，并且对现实的超导量子比特退相干和门误差保持鲁棒性。
英文摘要：
We propose a quantum sensor network for direct detection of quantum chromodynamics (QCD) axion dark matter using entangled superconducting qubits. In the presence of a static magnetic field, the oscillating axion field induces a coherent qubit rotation described by an encoding angle proportional to the axion-photon coupling and an unknown dark-matter phase. Treating the phase as an additional unknown parameter turns axion detection into a two-parameter quantum estimation problem. We formulate these signals in Cartesian coordinates, thereby avoiding the singularity that arises in the weak-signal regime and establishing a regular framework for multiparameter quantum estimation. Using this framework, we optimize the quantum sensor network and combine it with Bayesian inference to reconstruct the axion-photon coupling. The optimized protocol accurately recovers the KSVZ and DFSZ benchmark couplings over the mass range $m_a\in[0.1,10]~μ{\rm eV}$, generalizes to previously unseen masses, and remains robust against realistic superconducting-qubit decoherence and gate errors.
