未知数据源 2024年10月02日
Physicists reveal the role of ‘magic’ in quantum computational power
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量子纠缠是量子信息理论中的基本概念,通常被认为是衡量系统“量子性”的关键指标。然而,纠缠与量子计算能力之间的关系并不简单。一项发表在arXiv预印本服务器上的研究,由德国、意大利和美国的物理学家共同完成,通过探索一种称为“魔法”的性质在纠缠理论中的作用,揭示了这种复杂关系。该研究的结果对量子纠缠纠正、多体物理和量子混沌等多个领域具有广泛的意义。

🤔 传统上,量子比特(qubit)的纠缠程度越高,就能使用量子计算机完成的任务就越多。然而,这种观点——即量子状态中更高的纠缠程度与更大的计算优势相关——受到以下事实的挑战:某些高度纠缠的状态可以在经典计算机上有效地模拟,并且不提供与其他量子状态相同的计算能力。这些状态通常由经典可模拟的电路(称为Clifford电路)生成。

🪄 为了解决这种差异,研究人员引入了“魔法”的概念。魔法量化了准备量子状态所需的非Clifford资源,因此作为衡量状态量子计算能力的更细致的指标。

📊 在新的研究中,哈佛大学的博士生Andi Gu与意大利比萨高等师范学校和意大利国家研究委员会的博士后研究员Salvatore F E Oliviero以及柏林达勒姆复杂量子系统中心的博士后研究员Lorenzo Leone合作,通过研究纠缠估计、提纯和稀释等操作任务来研究纠缠和魔法。

📈 研究人员发现量子状态之间存在一个计算相分离,将它们分为两个不同的区域:纠缠主导(ED)相和魔法主导(MD)相。在ED相中,纠缠明显超过魔法,量子状态允许使用有效的量子算法来执行各种与纠缠相关的任务。例如,纠缠熵可以以可忽略的误差进行估计,并且存在用于纠缠操作(即提纯和稀释)的有效协议。研究小组还提出了在有噪声的ED状态中检测纠缠的有效方法,表明了它们与传统状态相比的惊人弹性。

📉 相反,MD相中的状态相对于纠缠具有更高的魔法程度。这使得与纠缠相关的任务在计算上难以处理,突出了魔法带来的巨大计算开销,需要更先进的方法。“对于ED状态,我们总是可以有效地处理纠缠任务,但对于MD状态,则情况复杂——可能存在有效的方案,但有时什么都行不通。”郭、莱昂和奥利维耶罗告诉《物理世界》。

Entanglement is a fundamental concept in quantum information theory and is often regarded as a key indicator of a system’s “quantumness”. However, the relationship between entanglement and quantum computational power is not straightforward. In a study posted on the arXiv preprint server, physicists in Germany, Italy and the US shed light on this complex relationship by exploring the role of a property known as “magic” in entanglement theory. The study’s results have broad implications for various fields, including quantum error correction, many-body physics and quantum chaos.

Traditionally, the more entangled your quantum bits (qubits) are, the more you can do with your quantum computer. However, this belief – that higher entanglement in a quantum state is associated with greater computational advantage – is challenged by the fact that certain highly entangled states can be efficiently simulated on classical computers and do not offer the same computational power as other quantum states. These states are often generated by classically simulable circuits known as Clifford circuits.

To address this discrepancy, researchers introduced the concept of “magic”. Magic quantifies the non-Clifford resources necessary to prepare a quantum state and thus serves as a more nuanced measure of a state’s quantum computational power.

Studying entanglement and magic

In the new study, Andi Gu, a PhD student at Harvard University, together with postdoctoral researchers Salvatore F E Oliviero of Scuola Normale Superiore and CNR in Pisa and Lorenzo Leone of the Dahlem Center for Complex Quantum Systems in Berlin, approach the study of entanglement and magic by examining operational tasks such as entanglement estimation, distillation and dilution.

The first of these tasks quantifies the degree of entanglement in a quantum system. The goal of entanglement distillation, meanwhile, is to use LOCC (local operations and classical communication) to transform a quantum state into as many Bell pairs as possible. Entanglement dilution, as its name suggests, is the converse of this: it aims to convert copies of the Bell state into less entangled states using LOCC with high fidelity.

Gu and colleagues find a computational phase separation between quantum states, dividing them into two distinct regimes: the entanglement-dominated (ED) and magic-dominated (MD) phases. In the former, entanglement significantly surpasses magic, and quantum states allow for efficient quantum algorithms to perform various entanglement-related tasks. For instance, entanglement entropy can be estimated with negligible error, and efficient protocols exist for entanglement manipulation (that is, distillation and dilution). The research team also propose efficient ways to detect entanglement in noisy ED states, showing their surprising resilience compared to traditional states.

In contrast, states in the MD phase have a higher degree of magic relative to entanglement. This makes entanglement-related tasks computationally intractable, highlighting the significant computational overhead introduced by magic and requiring more advanced approaches. “We can always handle entanglement tasks efficiently for ED states, but for MD states, it’s a mixed bag – while there could be something that works, sometimes nothing works at all,” Guo, Leone and Oliviero tell Physics World.

Practical implications

As for the significance of this separation, the trio say that in quantum error correction, understanding the interplay between entanglement and magic can improve the design of error-correcting codes that protect quantum information from decoherence (a loss of quantumness) and other errors. For instance, topological error-correcting codes that rely on the robustness of entanglement, such as those in three-dimensional topological models, benefit from the insights provided by the ED-MD phase distinction.

The team’s proposed framework also offers theoretical explanations for numerical observations in hybrid quantum circuits (random circuits interspersed with measurements), where transitions between phases are observed. These findings improve our understanding of the dynamics of entanglement in many-body systems and demonstrate that entanglement of states within the ED phase is robust under noise.

The trio say that next steps for this research could take several directions. “First, we aim to explore whether ED states, characterized by efficient entanglement manipulation even with many non-Clifford gates, can be efficiently classically simulated, or if other quantum tasks can be performed efficiently for these states,” they say. Another avenue would be to extend the framework to continuous variable systems, such as bosons and fermions.

The post Physicists reveal the role of ‘magic’ in quantum computational power appeared first on Physics World.

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量子计算 纠缠 魔法 量子信息理论
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