论文标题
纠缠量子状态保真度的可扩展实验边界
Scalable Experimental Bounds for Entangled Quantum State Fidelities
论文作者
论文摘要
估计高度纠缠状态在嘈杂的中间量子量子(NISQ)设备上的状态准备忠诚度对于基准测试和应用考虑很重要。不幸的是,精确的保真度测量很快变得非常昂贵,因为它们使用完整的国家层析成像呈$ o(3^n)$,并使用完整的状态层析成像,并在所有Pauli Bases组合中进行测量。但是,Somma等人[PhysReva.74.052302]确定,在查看表现出对称性的州(例如Dicke States和GHz状态)的忠诚度下限时,复杂性可能会大大降低。这些界限仍然必须足够紧,以使较大的状态可以对NISQ设备提供合理的估计。 在理论介绍后的第一次和15年以上,我们报告了所有Dicke国家的国家准备忠诚度的有意义的下限,最高$ n = 10 $,所有GHz状态最多可在Quantinuum H1 Ion-trap系统上使用有效的最近提出的可扩展电路实现这些州。我们实现的下限匹配或超过了先前报道的在较小状态的超导系统上的精确保真度。此外,我们提供的证据表明,对于大型迪克国家,$ d^n_ {n/2} $,我们可能会诉诸基于GHz的近似状态准备,以实现更好的保真度。随着NISQ设备的尺寸和质量提高,这项工作为基准纠缠提供了基准测试的途径。
Estimating the state preparation fidelity of highly entangled states on noisy intermediate-scale quantum (NISQ) devices is important for benchmarking and application considerations. Unfortunately, exact fidelity measurements quickly become prohibitively expensive, as they scale exponentially as $O(3^N)$ for $N$-qubit states, using full state tomography with measurements in all Pauli bases combinations. However, Somma and others [PhysRevA.74.052302] established that the complexity could be drastically reduced when looking at fidelity lower bounds for states that exhibit symmetries, such as Dicke States and GHZ States. These bounds must still be tight enough for larger states to provide reasonable estimations on NISQ devices. For the first time and more than 15 years after the theoretical introduction, we report meaningful lower bounds for the state preparation fidelity of all Dicke States up to $N=10$ and all GHZ states up to $N=20$ on Quantinuum H1 ion-trap systems using efficient implementations of recently proposed scalable circuits for these states. Our achieved lower bounds match or exceed previously reported exact fidelities on superconducting systems for much smaller states. Furthermore, we provide evidence that for large Dicke States $D^N_{N/2}$, we may resort to a GHZ-based approximate state preparation to achieve better fidelity. This work provides a path forward to benchmarking entanglement as NISQ devices improve in size and quality.