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Quantum geometric tensors from sub-bundle geometry 子束几何中的量子几何张量
IF 6.4 2区 物理与天体物理 Q1 PHYSICS, MULTIDISCIPLINARY Pub Date : 2026-01-14 DOI: 10.22331/q-2026-01-14-1965
Marius A. Oancea, Thomas B. Mieling, Giandomenico Palumbo
The geometric properties of quantum states are crucial for understanding many physical phenomena in quantum mechanics, condensed matter physics, and optics. The central object describing these properties is the quantum geometric tensor, which unifies the Berry curvature and the quantum metric. In this work, we use the differential-geometric framework of vector bundles to analyze the properties of parameter-dependent quantum states and generalize the quantum geometric tensor to this setting. This construction is based on a general connection on a Hermitian vector bundle, which defines a notion of quantum state transport in parameter space, and a sub-bundle projector, which constrains the set of accessible quantum states. We show that the sub-bundle geometry is similar to that of submanifolds in Riemannian geometry and is described by generalized Gauss-Codazzi-Mainardi equations. This leads to a novel definition of the quantum geometric tensor that contains an additional curvature contribution. To illustrate our results, we describe the sub-bundle geometry arising in the semiclassical treatment of Dirac fields propagating in curved spacetime and show how the quantum geometric tensor, with its additional curvature contributions, is obtained in this case. As a concrete example, we consider Dirac fermions confined to a hyperbolic plane and demonstrate how spatial curvature influences the quantum geometry. This work sets the stage for further exploration of quantum systems in curved geometries, with applications in both high-energy physics and condensed matter systems.
量子态的几何性质对于理解量子力学、凝聚态物理和光学中的许多物理现象至关重要。描述这些特性的中心对象是量子几何张量,它统一了贝里曲率和量子度规。在这项工作中,我们使用矢量束的微分几何框架来分析参数相关量子态的性质,并将量子几何张量推广到这种情况下。该构造基于厄米向量束的一般连接,厄米向量束定义了参数空间中量子态传输的概念,而子束投影则限制了可访问量子态的集合。我们证明了子束几何类似于黎曼几何中的子流形,并可以用广义gaas - codazzi - mainardi方程来描述。这导致了包含额外曲率贡献的量子几何张量的新定义。为了说明我们的结果,我们描述了在弯曲时空中传播的狄拉克场的半经典处理中产生的子束几何,并展示了在这种情况下如何获得具有附加曲率贡献的量子几何张量。作为一个具体的例子,我们考虑限制在双曲平面上的狄拉克费米子,并演示了空间曲率如何影响量子几何。这项工作为进一步探索弯曲几何中的量子系统奠定了基础,并在高能物理和凝聚态系统中得到了应用。
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引用次数: 0
Exponential advantage in quantum sensing of correlated parameters 相关参数量子传感中的指数优势
IF 6.4 2区 物理与天体物理 Q1 PHYSICS, MULTIDISCIPLINARY Pub Date : 2026-01-14 DOI: 10.22331/q-2026-01-14-1963
Sridhar Prabhu, Vladimir Kremenetski, Saeed A. Khan, Ryotatsu Yanagimoto, Peter L. McMahon
Conventionally in quantum sensing, the goal is to estimate one or more unknown parameters that are assumed to be deterministic – that is, they do not change between shots of the quantum-sensing protocol. We instead consider the setting where the parameters are stochastic: each shot of the quantum-sensing protocol senses parameter values that come from independent random draws. In this work, we explore three examples where the stochastic parameters are correlated and show how using entanglement provides a benefit in classification or estimation tasks: (1) a two-parameter classification task, for which there is an advantage in the low-shot regime; (2) an $N$-parameter estimation task and a classification variant of it, for which an entangled sensor requires just a constant number (independent of $N$) shots to achieve the same accuracy as an unentangled sensor using exponentially many (${sim}2^N$) shots; (3) classifying the magnetization of a spin chain in thermal equilibrium, where the individual spins fluctuate but the total spin in one direction is conserved – this gives a practical setting in which stochastic parameters are correlated in a way that an entangled sensor can be designed to exploit. We also present a theoretical framework for assessing, for a given choice of entangled sensing protocol and distributions to discriminate between, how much advantage the entangled sensor would have over an unentangled sensor. Our work motivates the further study of sensing correlated stochastic parameters using entangled quantum sensors – and since classical sensors by definition cannot be entangled, our work shows the possibility for entangled quantum sensors to achieve an exponential advantage in sample complexity over classical sensors, in contrast to the typical quadratic advantage.
传统上,在量子传感中,目标是估计一个或多个未知参数,这些参数被认为是确定的——也就是说,它们在量子传感协议的拍摄之间不会改变。相反,我们考虑参数是随机的设置:量子传感协议的每次射击都会感知来自独立随机抽取的参数值。在这项工作中,我们探索了三个随机参数相关的例子,并展示了如何使用纠缠在分类或估计任务中提供好处:(1)在低射击状态下具有优势的双参数分类任务;(2)一个$N$参数估计任务及其分类变体,其中一个纠缠传感器只需要常数次(独立于$N$)射击就可以达到与使用指数次(${sim}2^N$)射击的未纠缠传感器相同的精度;(3)在热平衡中对自旋链的磁化进行分类,其中单个自旋波动,但一个方向上的总自旋是守恒的-这提供了一个实际的设置,其中随机参数以一种纠缠传感器可以设计利用的方式相关联。我们还提出了一个理论框架,用于评估给定选择的纠缠传感协议和分布之间的区别,纠缠传感器将比未纠缠传感器具有多大优势。我们的工作激发了使用纠缠量子传感器感知相关随机参数的进一步研究,并且由于经典传感器根据定义不能纠缠,我们的工作表明,与典型的二次优势相比,纠缠量子传感器在样本复杂性方面具有指数优势的可能性。
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引用次数: 0
Harnessing Bayesian Statistics to Accelerate Iterative Quantum Amplitude Estimation 利用贝叶斯统计加速迭代量子振幅估计
IF 6.4 2区 物理与天体物理 Q1 PHYSICS, MULTIDISCIPLINARY Pub Date : 2026-01-14 DOI: 10.22331/q-2026-01-14-1962
Qilin Li, Atharva Vidwans, Yazhen Wang, Micheline B. Soley
We establish a unified statistical framework that underscores the crucial role statistical inference plays in Quantum Amplitude Estimation (QAE), a task essential to fields ranging from chemistry to finance and machine learning. We use this framework to harness Bayesian statistics for improved measurement efficiency with rigorous interval estimates at all iterations of Iterative Quantum Amplitude Estimation. We demonstrate the resulting method, Bayesian Iterative Quantum Amplitude Estimation (BIQAE), accurately and efficiently estimates both quantum amplitudes and molecular ground-state energies to high accuracy, and show in analytic and numerical sample complexity analyses that BIQAE outperforms all other QAE approaches considered. Both rigorous mathematical proofs and numerical simulations conclusively indicate Bayesian statistics is the source of this advantage, a finding that invites further inquiry into the power of statistics to expedite the search for quantum utility.
我们建立了一个统一的统计框架,强调了统计推断在量子振幅估计(QAE)中发挥的关键作用,这是从化学到金融和机器学习等领域必不可少的任务。我们使用这个框架来利用贝叶斯统计来提高测量效率,并在迭代量子振幅估计的所有迭代中进行严格的区间估计。我们证明了所得到的方法,贝叶斯迭代量子振幅估计(BIQAE),准确有效地估计量子振幅和分子基态能量,精度很高,并在分析和数值样本复杂性分析中表明BIQAE优于所有其他考虑的QAE方法。严格的数学证明和数值模拟都最终表明贝叶斯统计是这种优势的来源,这一发现促使人们进一步探索统计学的力量,以加快对量子效用的探索。
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引用次数: 0
Resource-Dependent Complexity of Quantum Channels 量子信道的资源依赖复杂性
IF 6.4 2区 物理与天体物理 Q1 PHYSICS, MULTIDISCIPLINARY Pub Date : 2026-01-08 DOI: 10.22331/q-2026-01-08-1960
Roy Araiza, Yidong Chen, Marius Junge, Peixue Wu
We introduce a new framework for quantifying the complexity of quantum channels, grounded in a suitably chosen resource set. This class of convex functions is designed to analyze the complexity of both open and closed quantum systems. By leveraging Lipschitz norms inspired by quantum optimal transport theory, we rigorously establish the fundamental properties of this complexity measure. The flexibility in selecting the resource set allows us to derive effective lower bounds for gate complexities and simulation costs of both Hamiltonian simulations and dynamics of open quantum systems. Additionally, we demonstrate that this complexity measure exhibits linear growth for random quantum circuits and finite-dimensional quantum simulations, up to the Brown-Susskind threshold.
我们引入了一个新的框架来量化量子信道的复杂性,该框架基于一个适当选择的资源集。这类凸函数被设计用来分析开放和封闭量子系统的复杂性。通过利用受量子最优输运理论启发的Lipschitz规范,我们严格地建立了这种复杂性度量的基本性质。选择资源集的灵活性使我们能够推导出开放量子系统的哈密顿模拟和动力学的门复杂性和模拟成本的有效下界。此外,我们证明了这种复杂性度量在随机量子电路和有限维量子模拟中呈现线性增长,直至Brown-Susskind阈值。
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引用次数: 0
Self-Testing Graph States Permitting Bounded Classical Communication 允许有界经典通信的自测试图状态
IF 6.4 2区 物理与天体物理 Q1 PHYSICS, MULTIDISCIPLINARY Pub Date : 2026-01-08 DOI: 10.22331/q-2026-01-08-1961
Uta Isabella Meyer, Ivan Šupić, Frédéric Grosshans, Damian Markham
Self-testing identifies quantum states and correlations that exhibit nonlocality, distinguishing them, up to local transformations, from other quantum states. Due to their strong nonlocality, it is known that all graph states can be self-tested in the standard setting – where parties are not allowed to communicate. Recently it has been shown that graph states display nonlocal correlations even when bounded classical communication on the underlying graph is permitted, a feature that has found applications in proving a circuit-depth separation between classical and quantum computing. In this work, we develop self testing in the framework of bounded classical communication, and we show that certain graph states can be robustly self-tested even allowing for communication. In particular, we provide an explicit self-test for the circular graph state and the honeycomb cluster state – the latter known to be a universal resource for measurement based quantum computation. Since communication generally obstructs self-testing of graph states, we further provide a procedure to robustly self-test any graph state from larger ones that exhibit nonlocal correlations in the communication scenario.
自我测试识别量子态和表现出非局域性的相关性,将它们与其他量子态区分开来,直到局部转换。由于它们的强非局部性,已知所有的图状态都可以在标准设置中进行自我测试——其中各方不允许进行通信。最近有研究表明,即使允许底层图上的有界经典通信,图状态也显示出非局部相关性,这一特征已被应用于证明经典计算和量子计算之间的电路深度分离。在这项工作中,我们在有界经典通信的框架中开发了自我测试,并且我们表明即使允许通信,某些图状态也可以进行鲁棒自我测试。特别是,我们提供了圆形图状态和蜂窝簇状态的显式自测试-后者已知是基于测量的量子计算的通用资源。由于通信通常会阻碍图状态的自测试,因此我们进一步提供了一个过程,可以从通信场景中显示非局部相关性的较大图状态中健壮地自测试任何图状态。
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引用次数: 0
A decompositional framework for process theories in spacetime 时空过程理论的分解框架
IF 6.4 2区 物理与天体物理 Q1 PHYSICS, MULTIDISCIPLINARY Pub Date : 2026-01-07 DOI: 10.22331/q-2026-01-07-1959
Matthias Salzger, John H. Selby
There has been a recent surge of interest within the field of quantum foundations regarding incorporating ideas from general relativity and quantum gravity. However, many quantum information tools remain agnostic to the underlying spacetime. For instance, whenever we draw a quantum circuit the effective spacetime imposed by the connectivity of the physical qubits which will realize this circuit is not taken into account. In this work, we aim to address this limitation by extending the framework of process theories to include a background spacetime structure. We introduce the notion of process implementations, i.e., decompositions of a process. A process is then embeddable if and only if one of its implementations can be embedded in such a way that all the component processes are localized and all wires follow timelike paths. While conceptually simple, checking for embeddability is generally computationally intractable. We therefore work towards simplifying this problem as much as possible, identifying a canonical subset of implementations that determine both the embeddability of a process and the causal structures distinguishable at least in some process theory. Notably, we discover countably infinite ''zigzag'' causal structures beyond those typically considered. While these can be ignored in classical theory, they seem to be essential in quantum theory, as the quantum CNOT gate can be implemented by all zigzag structures but not in a standard causal structure, except in the trivial undecomposed way. These zigzags could be significant for quantum causal modeling and the study of novel quantum resources.
最近,在量子基础领域,人们对将广义相对论和量子引力的思想结合起来产生了浓厚的兴趣。然而,许多量子信息工具仍然对潜在的时空不可知。例如,每当我们绘制量子电路时,就没有考虑到实现该电路的物理量子比特的连通性所施加的有效时空。在这项工作中,我们的目标是通过扩展过程理论的框架来包括背景时空结构来解决这一限制。我们引入流程实现的概念,即流程的分解。当且仅当一个流程的实现能够以这样一种方式嵌入,即所有组件流程都是本地化的,并且所有连接都遵循类似时间的路径,那么该流程就是可嵌入的。虽然概念上很简单,但检查可嵌入性通常在计算上很棘手。因此,我们致力于尽可能地简化这个问题,确定一个规范的实现子集,这些实现子集至少在某些过程理论中决定了过程的可嵌入性和可区分的因果结构。值得注意的是,我们发现了无数的“之字形”因果结构,超出了那些典型的考虑。虽然这些在经典理论中可以被忽略,但它们在量子理论中似乎是必不可少的,因为量子CNOT门可以通过所有之字形结构实现,但不能以标准的因果结构实现,除非以平凡的未分解方式。这些曲折对量子因果建模和新型量子资源的研究具有重要意义。
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引用次数: 0
Asymptotic robustness of entanglement in noisy quantum networks and graph connectivity 噪声量子网络中纠缠的渐近鲁棒性和图连通性
IF 6.4 2区 物理与天体物理 Q1 PHYSICS, MULTIDISCIPLINARY Pub Date : 2025-12-31 DOI: 10.22331/q-2025-12-31-1958
Fernando Lledó, Carlos Palazuelos, Julio I. de Vicente
Quantum networks are promising venues for quantum information processing. This motivates the study of the entanglement properties of the particular multipartite quantum states that underpin these structures. In particular, it has been recently shown that when the links are noisy two drastically different behaviors can occur regarding the global entanglement properties of the network. While in certain configurations the network displays genuine multipartite entanglement (GME) for any system size provided the noise level is below a certain threshold, in others GME is washed out if the system size is big enough for any fixed non-zero level of noise. However, this difference has only been established considering the two extreme cases of maximally and minimally connected networks (i.e. complete graphs versus trees, respectively). In this article we investigate this question much more in depth and relate this behavior to the growth of several graph theoretic parameters that measure the connectivity of the graph sequence that codifies the structure of the network as the number of parties increases. The strongest conditions are obtained when considering the degree growth. Our main results are that a sufficiently fast degree growth (i.e. $Omega(N)$, where $N$ is the size of the network) is sufficient for asymptotic robustness of GME, while if it is sufficiently slow (i.e. $o(log N)$) then the network becomes asymptotically biseparable. We also present several explicit constructions related to the optimality of these results.
量子网络是量子信息处理的理想场所。这激发了对支撑这些结构的特定多部量子态的纠缠特性的研究。特别是,最近的研究表明,当链路有噪声时,网络的全局纠缠特性会出现两种截然不同的行为。虽然在某些配置中,只要噪声水平低于某个阈值,网络就会对任何系统大小显示真正的多部纠缠(GME),但在其他配置中,如果系统大小足够大,可以产生任何固定的非零噪声水平,那么GME就会被淘汰。然而,这种差异仅在考虑最大连接网络和最小连接网络的两种极端情况下才得以确立(即分别为完全图和树)。在本文中,我们更深入地研究了这个问题,并将这种行为与几个图论参数的增长联系起来,这些参数测量了随着各方数量的增加而编纂网络结构的图序列的连通性。当考虑度增长时,得到最强条件。我们的主要结果是,足够快的度增长(即$Omega(N)$,其中$N$是网络的大小)足以满足GME的渐近鲁棒性,而如果它足够慢(即$o(log N)$),则网络变得渐近可分。我们还提出了与这些结果的最优性相关的几个显式结构。
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引用次数: 0
Isolated zero mode in a quantum computer from a duality twist 从对偶扭曲中分离出的量子计算机零模式
IF 6.4 2区 物理与天体物理 Q1 PHYSICS, MULTIDISCIPLINARY Pub Date : 2025-12-30 DOI: 10.22331/q-2025-12-30-1957
Sutapa Samanta, Derek S. Wang, Armin Rahmani, Aditi Mitra
Investigating the interplay of dualities, generalized symmetries, and topological defects beyond theoretical models is an important challenge in condensed matter physics and quantum materials. A simple model exhibiting this physics is the transverse-field Ising model, which can host a topological defect that performs the Kramers-Wannier duality transformation. When acting on one point in space, this duality defect imposes the duality twisted boundary condition and binds a single zero mode. This zero mode is unusual as it lacks a localized partner in the same $mathbb{Z}_2$ sector and has an infinite lifetime, even in finite systems. Using Floquet driving of a closed Ising chain with a duality defect, we generate this zero mode in a digital quantum computer. We detect the mode by measuring its associated persistent autocorrelation function using an efficient sampling protocol and a compound strategy for error mitigation. We also show that the zero mode resides at the domain wall between two regions related by a Kramers-Wannier duality transformation. Finally, we highlight the robustness of the isolated zero mode to integrability- and symmetry-breaking perturbations. Our findings provide a method for exploring exotic topological defects, associated with noninvertible generalized symmetries, in digitized quantum devices.
研究超越理论模型的对偶性、广义对称性和拓扑缺陷的相互作用是凝聚态物理和量子材料的一个重要挑战。展示这种物理特性的一个简单模型是横场Ising模型,它可以承载执行Kramers-Wannier对偶变换的拓扑缺陷。当作用于空间中的一个点时,这种对偶性缺陷施加了对偶扭曲边界条件并绑定了一个单零模。这种零模式是不寻常的,因为它在相同的$mathbb{Z}_2$扇区中缺乏本地化的伙伴,并且即使在有限系统中也具有无限的生存期。利用具有对偶缺陷的封闭伊辛链的Floquet驱动,我们在数字量子计算机中产生了这种零模式。我们使用一种有效的采样协议和一种减少误差的复合策略,通过测量其相关的持久自相关函数来检测模式。我们还证明了零模式存在于由Kramers-Wannier对偶变换关联的两个区域之间的域壁上。最后,我们强调了孤立零模式对可积破缺和对称破缺扰动的鲁棒性。我们的发现为探索与数字化量子器件中不可逆广义对称性相关的奇异拓扑缺陷提供了一种方法。
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引用次数: 0
Quantum Complexity and Chaos in Many-Qudit Doped Clifford Circuits 多量子位掺杂Clifford电路中的量子复杂性和混沌
IF 6.4 2区 物理与天体物理 Q1 PHYSICS, MULTIDISCIPLINARY Pub Date : 2025-12-24 DOI: 10.22331/q-2025-12-24-1956
Beatrice Magni, Xhek Turkeshi
We investigate the emergence of quantum complexity and chaos in doped Clifford circuits acting on qudits of odd prime dimension $d$. Using doped Clifford Weingarten calculus and a replica tensor network formalism, we derive exact results and perform large-scale simulations in regimes challenging for tensor network and Pauli-based methods. We begin by analyzing generalized stabilizer entropies, computable magic monotones in many-qudit systems, and identify a dynamical phase transition in the doping rate, marking the breakdown of classical simulability and the onset of Haar-random behavior. The critical behavior is governed by the qudit dimension and the magic content of the non-Clifford gate. Using the qudit $T$-gate as a benchmark, we show that higher-dimensional qudits converge faster to Haar-typical stabilizer entropies. For qutrits ($d=3$), analytical predictions match numerics on brickwork circuits, showing that locality plays a limited role in magic spreading. We also examine anticoncentration and entanglement growth, showing that $O(log N)$ non-Clifford gates suffice for approximating Haar expectation values to precision $varepsilon$, and relate antiflatness measures to stabilizer entropies in qutrit systems. Finally, we analyze out-of-time-order correlators and show that a finite density of non-Clifford gates is needed to induce chaos, with a sharp transition fixed by the local dimension, twice that of the magic transition. Altogether, these results establish a unified framework for diagnosing complexity in doped Clifford circuits and deepen our understanding of resource theories in multiqudit systems.
我们研究了作用于奇素数量纲$d$的掺杂Clifford电路中量子复杂性和混沌的出现。使用掺杂Clifford Weingarten微积分和复制张量网络形式,我们得到了精确的结果,并在对张量网络和基于pauli的方法具有挑战性的情况下进行了大规模模拟。我们首先分析了多量子位系统中的广义稳定熵、可计算的魔单调,并确定了掺杂率的动态相变,标志着经典可模拟性的破坏和haar随机行为的开始。临界行为受量纲维度和非克利福德门的魔法内容的支配。以量子点$T$ -gate为基准,我们证明了高维量子点收敛到haar -典型稳定器熵的速度更快。对于qutrits ($d=3$),分析预测与砖砌电路的数字相匹配,表明地域在魔法传播中起着有限的作用。我们还研究了反集中和纠缠增长,表明$O(log N)$非clifford门足以将Haar期望值近似到精度$varepsilon$,并将反平坦度措施与qutrit系统中的稳定器熵联系起来。最后,我们分析了非时间顺序相关器,并证明了非clifford门的有限密度可以诱导混沌,并且由局部维数固定的急剧过渡是神奇过渡的两倍。总之,这些结果建立了一个统一的框架来诊断掺杂Clifford电路的复杂性,并加深了我们对多量子位系统中资源理论的理解。
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引用次数: 0
Quantum Algorithm for Estimating Betti Numbers Using Cohomology Approach 利用上同调方法估计Betti数的量子算法
IF 6.4 2区 物理与天体物理 Q1 PHYSICS, MULTIDISCIPLINARY Pub Date : 2025-12-23 DOI: 10.22331/q-2025-12-23-1955
Nhat A. Nghiem, Xianfeng David Gu, Tzu-Chieh Wei
Topological data analysis has emerged as a powerful tool for analyzing large-scale data. An abstract simplicial complex, in principle, can be built from data points, and by using tools from homology, topological features could be identified. Given a simplex, an important feature is called the Betti numbers, which roughly count the number of `holes' in different dimensions. Calculating Betti numbers exactly can be $#$P-hard, and approximating them can be NP-hard, which rules out the possibility of any generic efficient algorithms and unconditional exponential quantum speedup. Here, we explore the specific setting of a triangulated manifold. In contrast to most known methods to estimate Betti numbers, which rely on homology, we exploit the `dual' approach, namely, cohomology, combining the insight of the Hodge theory and de Rham cohomology. Our proposed algorithm can calculate its $r$-th normalized Betti number $beta_r/|S_r|$ up to some additive error $epsilon$ with running time $mathcal{O}Big(frac{log(|S_r^K| |S_{r+1}^K|)}{epsilon^2} log (log |S_r^K|) big( rlog |S_r^K| big) Big)$, where $|S_r|$ is the number of $r$-simplexes in the given complex. For the estimation of $r$-th Betti number $beta_r$ to a chosen multiplicative accuracy $epsilon'$, our algorithm has complexity $ mathcal{O}Big(frac{log(|S_r^K| |S_{r+1}^K|)}{epsilon'^2} big( frac{ Gamma}{beta_r}big)^2 (log |S_r^K|) log big( rlog |S_r^K| big) Big)$, where $Gamma leq |S_r^K|$ can be chosen. A detailed analysis is provided, showing that our cohomology framework can even perform exponentially faster than previous homology methods in several regimes. In particular, our method is most effective when $beta_r ll |S_r^K|$, which can offer more flexibility and practicability than existing quantum algorithms that achieve the best performance in the regime $beta_r approx |S_r^K|$.
拓扑数据分析已成为分析大规模数据的有力工具。原则上,一个抽象的简单复合体可以由数据点构建,并且通过使用同构学中的工具,可以识别拓扑特征。对于一个单纯形,一个重要的特征被称为贝蒂数,它大致计算了不同维度上的“洞”的数量。准确计算Betti数可能是$#$ P-hard,而近似它们可能是NP-hard,这排除了任何通用高效算法和无条件指数量子加速的可能性。在这里,我们探讨三角化流形的具体设置。与大多数已知的依赖于同调的估计Betti数的方法相反,我们利用了“对偶”方法,即上同调,结合了Hodge理论和de Rham上同调的见解。我们提出的算法可以计算其$r$ -标准化Betti数$beta_r/|S_r|$到运行时间$mathcal{O}Big(frac{log(|S_r^K| |S_{r+1}^K|)}{epsilon^2} log (log |S_r^K|) big( rlog |S_r^K| big) Big)$的一些加性误差$epsilon$,其中$|S_r|$是给定复合体中$r$ -simplexes的数量。对于$r$ - Betti数$beta_r$到一个选择的乘法精度$epsilon'$的估计,我们的算法具有复杂度$ mathcal{O}Big(frac{log(|S_r^K| |S_{r+1}^K|)}{epsilon'^2} big( frac{ Gamma}{beta_r}big)^2 (log |S_r^K|) log big( rlog |S_r^K| big) Big)$,其中$Gamma leq |S_r^K|$可以选择。详细的分析表明,在一些情况下,我们的上同调框架甚至比以前的同调方法执行速度快得多。特别是,我们的方法在$beta_r ll |S_r^K|$时是最有效的,它可以提供比现有量子算法更大的灵活性和实用性,在$beta_r approx |S_r^K|$状态下达到最佳性能。
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引用次数: 0
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