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On the connection between least squares, regularization, and classical shadows 关于最小二乘、正则化和经典阴影之间的联系
IF 6.4 2区 物理与天体物理 Q1 PHYSICS, MULTIDISCIPLINARY Pub Date : 2024-08-29 DOI: 10.22331/q-2024-08-29-1455
Zhihui Zhu, Joseph M. Lukens, Brian T. Kirby
Classical shadows (CS) offer a resource-efficient means to estimate quantum observables, circumventing the need for exhaustive state tomography. Here, we clarify and explore the connection between CS techniques and least squares (LS) and regularized least squares (RLS) methods commonly used in machine learning and data analysis. By formal identification of LS and RLS "shadows" completely analogous to those in CS – namely, point estimators calculated from the empirical frequencies of single measurements – we show that both RLS and CS can be viewed as regularizers for the underdetermined regime, replacing the pseudoinverse with invertible alternatives. Through numerical simulations, we evaluate RLS and CS from three distinct angles: the tradeoff in bias and variance, mismatch between the expected and actual measurement distributions, and the interplay between the number of measurements and number of shots per measurement. Compared to CS, RLS attains lower variance at the expense of bias, is robust to distribution mismatch, and is more sensitive to the number of shots for a fixed number of state copies – differences that can be understood from the distinct approaches taken to regularization. Conceptually, our integration of LS, RLS, and CS under a unifying "shadow" umbrella aids in advancing the overall picture of CS techniques, while practically our results highlight the tradeoffs intrinsic to these measurement approaches, illuminating the circumstances under which either RLS or CS would be preferred, such as unverified randomness for the former or unbiased estimation for the latter.
经典阴影(Classical shadows,CS)为估算量子观测值提供了一种节省资源的方法,从而避免了穷举状态层析的需要。在这里,我们阐明并探索了 CS 技术与机器学习和数据分析中常用的最小二乘法(LS)和正则化最小二乘法(RLS)之间的联系。通过对 LS 和 RLS "阴影 "的正式识别,我们发现它们与 CS 中的 "阴影 "完全类似--即根据单次测量的经验频率计算出的点估算器--RLS 和 CS 都可以被视为欠定机制的正则化器,用可反转的替代方法取代伪逆。通过数值模拟,我们从三个不同的角度对 RLS 和 CS 进行了评估:偏差和方差的权衡、预期测量分布和实际测量分布之间的不匹配,以及测量次数和每次测量拍摄次数之间的相互作用。与 CS 相比,RLS 以牺牲偏差为代价获得了较低的方差,对分布失配具有鲁棒性,并且对固定数量的状态副本的拍摄次数更为敏感--这些差异可以从正则化的不同方法中得到理解。从概念上讲,我们将 LS、RLS 和 CS 整合在一个统一的 "影子 "伞下,有助于推进 CS 技术的整体发展,而从实践上讲,我们的结果突出了这些测量方法的内在权衡,阐明了在哪些情况下 RLS 或 CS 更受青睐,例如前者的未验证随机性或后者的无偏估计。
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引用次数: 0
GraphiQ: Quantum circuit design for photonic graph states GraphiQ:光子图态量子电路设计
IF 6.4 2区 物理与天体物理 Q1 PHYSICS, MULTIDISCIPLINARY Pub Date : 2024-08-28 DOI: 10.22331/q-2024-08-28-1453
Jie Lin, Benjamin MacLellan, Sobhan Ghanbari, Julie Belleville, Khuong Tran, Luc Robichaud, Roger G. Melko, Hoi-Kwong Lo, Piotr Roztocki
$tt{GraphiQ}$ is a versatile open-source framework for designing photonic graph state generation schemes, with a particular emphasis on photon-emitter hybrid circuits. Built in Python, GraphiQ consists of a suite of design tools, including multiple simulation backends and optimization methods. The library supports scheme optimization in the presence of circuit imperfections, as well as user-defined optimization goals. Our framework thus represents a valuable tool for the development of practical schemes adhering to experimentally-relevant constraints. As graph states are a key resource for measurement-based quantum computing, all-photonic quantum repeaters, and robust quantum metrology, among others, we envision GraphiQ's broad impact for advancing quantum technologies.
$tt{GraphiQ}$是一个通用的开源框架,用于设计光子图态生成方案,尤其侧重于光子发射器混合电路。GraphiQ 使用 Python 构建,由一套设计工具组成,包括多个仿真后端和优化方法。该库支持在电路不完善的情况下进行方案优化,也支持用户自定义优化目标。因此,我们的框架是开发符合实验相关约束条件的实用方案的重要工具。由于图态是基于测量的量子计算、全光子量子中继器和稳健量子计量等的关键资源,我们设想 GraphiQ 将对量子技术的发展产生广泛影响。
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引用次数: 0
Expanding the reach of quantum optimization with fermionic embeddings 用费米子嵌入扩展量子优化的范围
IF 6.4 2区 物理与天体物理 Q1 PHYSICS, MULTIDISCIPLINARY Pub Date : 2024-08-28 DOI: 10.22331/q-2024-08-28-1451
Andrew Zhao, Nicholas C. Rubin
Quadratic programming over orthogonal matrices encompasses a broad class of hard optimization problems that do not have an efficient quantum representation. Such problems are instances of the little noncommutative Grothendieck problem (LNCG), a generalization of binary quadratic programs to continuous, noncommutative variables. In this work, we establish a natural embedding for this class of LNCG problems onto a fermionic Hamiltonian, thereby enabling the study of this classical problem with the tools of quantum information. This embedding is accomplished by a new representation of orthogonal matrices as fermionic quantum states, which we achieve through the well-known double covering of the orthogonal group. Correspondingly, the embedded LNCG Hamiltonian is a two-body fermion model. Determining extremal states of this Hamiltonian provides an outer approximation to the original problem, a quantum analogue to classical semidefinite relaxations. In particular, when optimizing over the $special$ orthogonal group our quantum relaxation obeys additional, powerful constraints based on the convex hull of rotation matrices. The classical size of this convex-hull representation is exponential in matrix dimension, whereas our quantum representation requires only a linear number of qubits. Finally, to project the relaxed solution back into the feasible space, we propose rounding procedures which return orthogonal matrices from appropriate measurements of the quantum state. Through numerical experiments we provide evidence that this rounded quantum relaxation can produce high-quality approximations.
正交矩阵上的二次编程包含一大类没有有效量子表示的困难优化问题。这类问题是小非交换格罗内狄克问题(LNCG)的实例,是二元二次方程程序对连续、非交换变量的概括。在这项工作中,我们为这一类 LNCG 问题建立了费米子哈密顿的自然嵌入,从而能够用量子信息工具研究这一经典问题。这种嵌入是通过正交矩阵作为费米量子态的新表示来实现的,我们通过众所周知的正交群双覆盖来实现。相应地,嵌入的 LNCG 哈密顿是一个双体费米子模型。确定这个哈密顿的极值态为原始问题提供了一个外近似,这是经典半定量松弛的量子类比。特别是在对特殊的正交群进行优化时,我们的量子松弛服从基于旋转矩阵凸壳的额外的强大约束。这种凸壳表示的经典大小是矩阵维度的指数级,而我们的量子表示只需要线性数量的量子比特。最后,为了将松弛解投射回可行空间,我们提出了舍入程序,通过量子态的适当测量返回正交矩阵。通过数值实验,我们证明这种四舍五入的量子松弛可以产生高质量的近似值。
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引用次数: 0
Quantum multi-anomaly detection 量子多重异常检测
IF 6.4 2区 物理与天体物理 Q1 PHYSICS, MULTIDISCIPLINARY Pub Date : 2024-08-28 DOI: 10.22331/q-2024-08-28-1452
Santiago Llorens, Gael Sentís, Ramon Muñoz-Tapia
A source assumed to prepare a specified reference state sometimes prepares an anomalous one. We address the task of identifying these anomalous states in a series of $n$ preparations with $k$ anomalies. We analyze the minimum-error protocol and the zero-error (unambiguous) protocol and obtain closed expressions for the success probability when both reference and anomalous states are known to the observer and anomalies can appear equally likely in any position of the preparation series. We find the solution using results from association schemes theory, thus establishing a connection between graph theory and quantum hypothesis testing. In particular, we use the Johnson association scheme which arises naturally from the Gram matrix of this problem. We also study the regime of large $n$ and obtain the expression of the success probability that is non-vanishing. Finally, we address the case in which the observer is blind to the reference and the anomalous states. This scenario requires a universal protocol for which we prove that in the asymptotic limit, the success probability corresponds to the average of the known state scenario.
假定制备特定参考状态的源有时会制备出异常状态。我们要解决的任务是在一系列具有 $k$ 异常的 $n$ 准备中识别这些异常状态。我们分析了最小错误协议和零错误(无歧义)协议,并得到了当观察者已知参考状态和异常状态,且异常状态在准备系列的任何位置都有同样可能出现时,成功概率的封闭表达式。我们利用关联方案理论的结果找到了解决方案,从而在图论和量子假设检验之间建立了联系。特别是,我们使用了约翰逊关联方案,它是由这个问题的格兰矩阵自然产生的。我们还研究了大 $n$ 的情况,并得到了成功概率不求和的表达式。最后,我们还讨论了观察者对参考状态和异常状态视而不见的情况。这种情况需要一个通用协议,我们证明在渐近极限中,成功概率与已知状态情况的平均值一致。
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引用次数: 0
Device-independent lower bounds on the conditional von Neumann entropy 与设备无关的条件冯-诺依曼熵下限
IF 6.4 2区 物理与天体物理 Q1 PHYSICS, MULTIDISCIPLINARY Pub Date : 2024-08-27 DOI: 10.22331/q-2024-08-27-1445
Peter Brown, Hamza Fawzi, Omar Fawzi
The rates of several device-independent (DI) protocols, including quantum key-distribution (QKD) and randomness expansion (RE), can be computed via an optimization of the conditional von Neumann entropy over a particular class of quantum states. In this work we introduce a numerical method to compute lower bounds on such rates. We derive a sequence of optimization problems that converge to the conditional von Neumann entropy of systems defined on general separable Hilbert spaces. Using the Navascués-Pironio-Acín hierarchy we can then relax these problems to semidefinite programs, giving a computationally tractable method to compute lower bounds on the rates of DI protocols. Applying our method to compute the rates of DI-RE and DI-QKD protocols we find substantial improvements over all previous numerical techniques, demonstrating significantly higher rates for both DI-RE and DI-QKD. In particular, for DI-QKD we show a minimal detection efficiency threshold which is within the realm of current capabilities. Moreover, we demonstrate that our method is capable of converging rapidly by recovering all known tight analytical bounds up to several decimal places. Finally, we note that our method is compatible with the entropy accumulation theorem and can thus be used to compute rates of finite round protocols and subsequently prove their security.
包括量子密钥分发(QKD)和随机性扩展(RE)在内的几种独立于设备(DI)协议的速率可以通过对特定量子态类别的条件冯-诺依曼熵进行优化来计算。在这项工作中,我们介绍了一种计算此类速率下限的数值方法。我们推导了一系列优化问题,这些问题收敛于定义在一般可分离希尔伯特空间上的系统的条件冯-诺依曼熵。利用 Navascués-Pironio-Acín层次结构,我们可以将这些问题放松为半有限程序,从而给出一种计算简便的方法来计算 DI 协议的速率下限。应用我们的方法计算 DI-RE 和 DI-QKD 协议的速率,我们发现比以前所有的数值技术都有了很大改进,DI-RE 和 DI-QKD 的速率都显著提高。特别是,对于 DI-QKD,我们展示了一个最小检测效率阈值,该阈值在当前能力范围内。此外,我们还证明了我们的方法能够快速收敛,恢复了所有已知的严格分析界限,精确到小数点后几位。最后,我们指出,我们的方法与熵累积定理兼容,因此可用于计算有限回合协议的速率,并随后证明其安全性。
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引用次数: 0
Fast erasure decoder for hypergraph product codes 超图积码的快速擦除解码器
IF 6.4 2区 物理与天体物理 Q1 PHYSICS, MULTIDISCIPLINARY Pub Date : 2024-08-27 DOI: 10.22331/q-2024-08-27-1450
Nicholas Connolly, Vivien Londe, Anthony Leverrier, Nicolas Delfosse
We propose a decoder for the correction of erasures with hypergraph product codes, which form one of the most popular families of quantum LDPC codes. Our numerical simulations show that this decoder provides a close approximation of the maximum likelihood decoder that can be implemented in $O(N^2)$ bit operations where $N$ is the length of the quantum code. A probabilistic version of this decoder can be implemented in $O(N^{1.5})$ bit operations.
我们提出了一种用于校正超图积编码擦除的解码器,超图积编码是最流行的量子 LDPC 码系列之一。我们的数值模拟表明,这种解码器提供了最大似然解码器的近似值,可以在 $O(N^2)$ 比特运算中实现,其中 $N$ 是量子代码的长度。这种解码器的概率版本可以在 $O(N^{1.5})$ 比特运算中实现。
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引用次数: 0
Double or nothing: a Kolmogorov extension theorem for multitime (bi)probabilities in quantum mechanics 双或无:量子力学中多重(双)概率的柯尔莫哥洛夫扩展定理
IF 6.4 2区 物理与天体物理 Q1 PHYSICS, MULTIDISCIPLINARY Pub Date : 2024-08-27 DOI: 10.22331/q-2024-08-27-1447
Davide Lonigro, Fattah Sakuldee, Łukasz Cywiński, Dariusz Chruściński, Piotr Szańkowski
The multitime probability distributions obtained by repeatedly probing a quantum system via the measurement of an observable generally violate Kolmogorov's consistency property. Therefore, one cannot interpret such distributions as the result of the sampling of a single trajectory. We show that, nonetheless, they do result from the sampling of one $pair$ of trajectories. In this sense, rather than give up on trajectories, quantum mechanics requires to double down on them. To this purpose, we prove a generalization of the Kolmogorov extension theorem that applies to families of complex-valued bi-probability distributions (that is, defined on pairs of elements of the original sample spaces), and we employ this result in the quantum mechanical scenario. We also discuss the relation of our results with the quantum comb formalism.
通过测量观测物反复探测量子系统得到的多重时间概率分布通常违反了科尔莫哥罗德的一致性特性。因此,我们不能把这种分布解释为单一轨迹采样的结果。然而,我们的研究表明,它们的确是一对轨迹采样的结果。从这个意义上说,量子力学非但没有放弃轨迹,反而需要加倍努力。为此,我们证明了适用于复值双概率分布族(即定义在原始样本空间的成对元素上)的科尔莫哥罗夫扩展定理的一般化,并将这一结果应用于量子力学情景。我们还讨论了我们的结果与量子梳子形式主义的关系。
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引用次数: 0
Hamiltonian simulation for low-energy states with optimal time dependence 具有最佳时间依赖性的低能状态的哈密顿模拟
IF 6.4 2区 物理与天体物理 Q1 PHYSICS, MULTIDISCIPLINARY Pub Date : 2024-08-27 DOI: 10.22331/q-2024-08-27-1449
Alexander Zlokapa, Rolando D. Somma
We consider the task of simulating time evolution under a Hamiltonian $H$ within its low-energy subspace. Assuming access to a block-encoding of $H':=(H-E)/lambda$, for some $lambda gt 0$ and $E in mathbb R$, the goal is to implement an $epsilon$-approximation to the evolution operator $e^{-itH}$ when the initial state is confined to the subspace corresponding to eigenvalues $[-1, -1+Delta/lambda]$ of $H'$, for $Delta leq lambda$. We present a quantum algorithm that requires $mathcal{O}(tsqrt{lambdaGamma} + sqrt{lambda/Gamma}log(1/epsilon))$ queries to the block-encoding for any choice of $Gamma$ such that $Delta leq Gamma leq lambda$. When the parameters satisfy $log(1/epsilon) = o(tlambda)$ and $Delta/lambda = o(1)$, this result improves over generic methods with query complexity $Omega(tlambda)$. Our quantum algorithm leverages spectral gap amplification and the quantum singular value transform.

For a given $H$, the block-encoding of its $H'$ must be prepared efficiently to achieve an asymptotic speedup in simulating the low-energy subspace; we refer to these Hamiltonians as $gap-amplifiable$. We show necessary and sufficient conditions for gap amplifiability in terms of an operationally useful decomposition of $H$ into a sum of squares. Gap-amplifiable Hamiltonians include physically relevant examples such as frustration-free systems, and it encompasses all previously considered settings of low energy simulation algorithms. Any Hamiltonian can be expressed as a gap-amplifiable Hamiltonian after simple transformations, and our algorithm retains the asymptotic improvement over generic methods as long as the conditions on the parameters are met.

We also provide lower bounds for simulating dynamics of low-energy states. In the worst case, we show that the low-energy condition cannot be used to improve the runtime of Hamiltonian simulation methods. For gap-amplifiable Hamiltonians, we prove that our algorithm is tight in the query model with respect to $t$, $Delta$, and $lambda$. In the practically relevant regime where $log (1/epsilon) = o(tDelta)$ and $Delta/lambda = o(1)$, we also prove a matching lower bound in gate complexity (up to logarithmic factors). To establish the query lower bounds, we consider oracular problems including search and $mathrm{PARITY}circmathrm{OR}$, and also bounds on the degrees of trigonometric polynomials. To establish the lower bound on gate complexity, we use a circuit-to-Hamiltonian reduction, where a “clock Hamiltonian'' acting on a low-energy state can simulate any quantum circuit.
我们考虑的任务是在低能子空间内模拟哈密顿方程 $H$ 下的时间演化。假设可以获得 $H':=(H-E)/lambda$, for some $lambda gt 0$ and $E in mathbb R$, the goal is to implement an $epsilon$-approximation to the evolution operator $e^{-itH}$ when the initial state is confined to the subspace corresponding to eigenvalues $[-1, -1+Delta/lambda]$ of $H'$, for $Delta leq lambda$.我们提出了一种量子算法,它需要 $mathcal{O}(tsqrt{lambdaGamma} + sqrt{/lambda//Gamma}log(1/epsilon))$对任意选择的$Gamma$进行块编码查询,使得$Delta leq Gamma leq lambda$。当参数满足$log(1/epsilon) = o(t/lambda)$和$Delta/lambda = o(1)$时,这个结果比查询复杂度为$Omega(t/lambda)$的一般方法要好。我们的量子算法利用了频谱间隙放大和量子奇异值变换。对于给定的 $H$,其 $H'$ 的块编码必须高效准备,以实现模拟低能子空间的渐近加速;我们把这些哈密顿称作 $gap-amplable$。我们通过将 $H$ 分解为一个平方和的实用操作方法,展示了间隙可放大性的必要条件和充分条件。间隙可放大哈密顿数包括与物理相关的例子,如无挫折系统,它涵盖了以前考虑过的所有低能量模拟算法设置。任何哈密顿都可以在简单变换后表示为可间隙放大哈密顿,只要参数条件满足,我们的算法就能保持对一般方法的渐进改进。我们还提供了模拟低能态动力学的下限。在最坏的情况下,我们证明低能条件不能用来改善哈密顿模拟方法的运行时间。对于间隙可放大的哈密顿,我们证明了我们的算法在查询模型中与 $t$、$Delta$ 和 $lambda$ 有关是紧密的。在$log (1/epsilon) = o(t/Delta)$和$Delta/lambda = o(1)$的实际相关机制中,我们还证明了门复杂度的匹配下限(达到对数因子)。为了建立查询下界,我们考虑了包括搜索和 $mathrm{PARITY}circmathrm{OR}$ 在内的奥拉格问题,以及三角多项式的度数下界。为了建立门复杂性的下界,我们使用了电路到哈密顿的还原,其中作用于低能态的 "时钟哈密顿 "可以模拟任何量子电路。
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引用次数: 0
Quantum computation from dynamic automorphism codes 来自动态自动码的量子计算
IF 6.4 2区 物理与天体物理 Q1 PHYSICS, MULTIDISCIPLINARY Pub Date : 2024-08-27 DOI: 10.22331/q-2024-08-27-1448
Margarita Davydova, Nathanan Tantivasadakarn, Shankar Balasubramanian, David Aasen
We propose a new model of quantum computation comprised of low-weight measurement sequences that simultaneously encode logical information, enable error correction, and apply logical gates. These measurement sequences constitute a new class of quantum error-correcting codes generalizing Floquet codes, which we call dynamic automorphism (DA) codes. We construct an explicit example, the DA color code, which is assembled from short measurement sequences that can realize all 72 automorphisms of the 2D color code. On a stack of $N$ triangular patches, the DA color code encodes $N$ logical qubits and can implement the full logical Clifford group by a sequence of two- and, more rarely, three-qubit Pauli measurements. We also make the first step towards universal quantum computation with DA codes by introducing a 3D DA color code and showing that a non-Clifford logical gate can be realized by adaptive two-qubit measurements.
我们提出了一种新的量子计算模型,它由同时编码逻辑信息、实现纠错和应用逻辑门的低量测量序列组成。这些测量序列构成了一类新的量子纠错码,概括了 Floquet 码,我们称之为动态自动变形(DA)码。我们构建了一个明确的例子--DA 色码,它由短测量序列组合而成,可以实现二维色码的所有 72 个自动变形。在一个由 N$ 三角形补丁组成的堆栈上,DA 色码编码 N$ 逻辑量子比特,并能通过一个二量子比特序列(更罕见的是三量子比特保利测量序列)实现完整的逻辑克利福德群。我们还通过引入三维 DA 颜色码,证明非克利福德逻辑门可以通过自适应二量子比特测量来实现,从而向使用 DA 码进行通用量子计算迈出了第一步。
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引用次数: 0
Quantum Chaos and Coherence: Random Parametric Quantum Channels 量子混沌与相干:随机参量量子通道
IF 6.4 2区 物理与天体物理 Q1 PHYSICS, MULTIDISCIPLINARY Pub Date : 2024-08-27 DOI: 10.22331/q-2024-08-27-1446
Apollonas S. Matsoukas-Roubeas, Tomaž Prosen, Adolfo del Campo
The survival probability of an initial Coherent Gibbs State (CGS) is a natural extension of the Spectral Form Factor (SFF) to open quantum systems. To quantify the interplay between quantum chaos and decoherence away from the semi-classical limit, we investigate the relation of this generalized SFF with the corresponding $l_1$-norm of coherence. As a working example, we introduce Parametric Quantum Channels (PQC), a discrete-time model of unitary evolution mixed with the effects of measurements or transient interactions with an environment. The Energy Dephasing (ED) dynamics arises as a specific case in the Markovian limit. We demonstrate our results in a series of random matrix models.
初始相干吉布斯态(CGS)的存活概率是光谱形式因子(SFF)在开放量子系统中的自然扩展。为了量化量子混沌与半经典极限之外的退相干之间的相互作用,我们研究了这种广义 SFF 与相应的相干性 l_1$ 准则之间的关系。作为一个工作范例,我们引入了参数量子通道(PQC),这是一种混合了测量或与环境的瞬时相互作用影响的离散时间单元演化模型。能量消除(ED)动力学是马尔可夫极限中的一种特殊情况。我们在一系列随机矩阵模型中展示了我们的成果。
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引用次数: 0
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