基于量子门的因果假设检验可扩展实现

IF 4.4 Q1 OPTICS Advanced quantum technologies Pub Date : 2024-06-24 DOI:10.1002/qute.202300326
Akash Kundu, Tamal Acharya, Aritra Sarkar
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引用次数: 0

摘要

在这项工作中,介绍了一种基于量子门的可扩展算法,用于加速因果推理。具体来说,考虑了[Nat Commun 10, 1472 (2019)]中提出的因果假设检验形式主义。通过该算法,现有的错误概率定义(即区分两个相互竞争的因果假设的指标)被推广到实际场景中。在 Qiskit 上的结果验证了预测的速度提升,并表明在现实场景中,错误概率取决于相互竞争的假设之间的距离。为此,因果假设被嵌入为甲骨文的电路结构。此外,通过评估实现算法子组件所涉及的复杂性,还提供了算法所需资源的数值估算。最后,讨论了这一框架在生物信息学和人工通用智能领域因果推理用例中的应用。
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A Scalable Quantum Gate-Based Implementation for Causal Hypothesis Testing

In this work, a scalable quantum gate-based algorithm for accelerating causal inference is introduced. Specifically, the formalism of causal hypothesis testing presented in [Nat Commun 10, 1472 (2019)] is considered. Through the algorithm, the existing definition of error probability is generalized, which is a metric to distinguish between two competing causal hypotheses, to a practical scenario. The results on the Qiskit validate the predicted speedup and show that in the realistic scenario, the error probability depends on the distance between the competing hypotheses. To achieve this, the causal hypotheses are embedded as a circuit construction of the oracle. Furthermore, by assessing the complexity involved in implementing the algorithm's subcomponents, a numerical estimation of the resources required for the algorithm is offered. Finally, applications of this framework for causal inference use cases in bioinformatics and artificial general intelligence are discussed.

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Front Cover: Laser Beam Induced Charge Collection for Defect Mapping and Spin State Readout in Diamond (Adv. Quantum Technol. 12/2024) Inside Front Cover: Numerical Investigation of a Coupled Micropillar - Waveguide System for Integrated Quantum Photonic Circuits (Adv. Quantum Technol. 12/2024) Back Cover: Purity-Assisted Zero-Noise Extrapolation for Quantum Error Mitigation (Adv. Quantum Technol. 12/2024) Issue Information (Adv. Quantum Technol. 12/2024) Issue Information (Adv. Quantum Technol. 11/2024)
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