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Equivalence of cost concentration and gradient vanishing for quantum circuits: an elementary proof in the Riemannian formulation 量子电路的成本集中和梯度消失的等价性:黎曼表述的基本证明
IF 6.7 2区 物理与天体物理 Q1 PHYSICS, MULTIDISCIPLINARY Pub Date : 2024-09-08 DOI: 10.1088/2058-9565/ad6fca
Qiang Miao and Thomas Barthel
The optimization of quantum circuits can be hampered by a decay of average gradient amplitudes with increasing system size. When the decay is exponential, this is called the barren plateau problem. Considering explicit circuit parametrizations (in terms of rotation angles), it has been shown in Arrasmith et al (2022 Quantum Sci. Technol.7 045015) that barren plateaus are equivalent to an exponential decay of the variance of cost-function differences. We show that the issue is particularly simple in the (parametrization-free) Riemannian formulation of such optimization problems and obtain a tighter bound for the cost-function variance. An elementary derivation shows that the single-gate variance of the cost function is strictly equal to half the variance of the Riemannian single-gate gradient, where we sample variable gates according to the uniform Haar measure. The total variances of the cost function and its gradient are then both bounded from above by the sum of single-gate variances and, conversely, bound single-gate variances from above. So, decays of gradients and cost-function variations go hand in hand, and barren plateau problems cannot be resolved by avoiding gradient-based in favor of gradient-free optimization methods.
量子电路的优化可能会受到平均梯度振幅随系统规模增大而衰减的影响。当衰减为指数级时,这就是所谓的贫瘠高原问题。考虑到显式电路参数化(以旋转角度表示),Arrasmith 等人(2022 Quantum Sci. Technol.7,045015)的研究表明,贫瘠高原等同于代价函数差异方差的指数衰减。我们证明,在此类优化问题的(无参数化)黎曼表述中,这个问题特别简单,并获得了成本函数方差的更严格约束。一个基本的推导表明,成本函数的单门方差严格等于黎曼单门梯度方差的一半,在黎曼单门梯度中,我们根据均匀哈量对变量门进行采样。因此,成本函数及其梯度的总方差都受到单门方差之和的约束,反之,单门方差也受到约束。因此,梯度衰减和代价函数变化是相辅相成的,贫瘠高原问题无法通过避免基于梯度而采用无梯度优化方法来解决。
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引用次数: 0
Squeezing below the ground state of motion of a continuously monitored levitating nanoparticle 挤压持续监测的悬浮纳米粒子运动的基态以下部分
IF 6.7 2区 物理与天体物理 Q1 PHYSICS, MULTIDISCIPLINARY Pub Date : 2024-09-08 DOI: 10.1088/2058-9565/ad7284
Q Wu, D A Chisholm, R Muffato, T Georgescu, J Homans, H Ulbricht, M Carlesso and M Paternostro
Squeezing is a crucial resource for quantum information processing and quantum sensing. In levitated nanomechanics, squeezed states of motion can be generated via temporal control of the trapping frequency of a massive particle. However, the amount of achievable squeezing typically suffers from detrimental environmental effects. We propose a scheme for the generation of significant levels of mechanical squeezing in the motional state of a levitated nanoparticle by leveraging on the careful temporal control of the trapping potential. We analyse the performance of such a scheme by fully accounting for the most relevant sources of noise, including measurement backaction. The feasibility of our proposal, which is close to experimental state-of-the-art, makes it a valuable tool for quantum state engineering.
挤压是量子信息处理和量子传感的重要资源。在悬浮纳米力学中,通过对大质量粒子的捕获频率进行时间控制,可以产生挤压运动状态。然而,可实现的挤压量通常会受到有害环境的影响。我们提出了一种方案,利用对捕获电势的时间控制,在悬浮纳米粒子的运动状态中产生大量机械挤压。我们分析了这种方案的性能,充分考虑了最相关的噪声源,包括测量反作用。我们建议的可行性接近最先进的实验结果,使其成为量子态工程的重要工具。
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引用次数: 0
Encoding optimization for quantum machine learning demonstrated on a superconducting transmon qutrit 量子机器学习的编码优化在超导跨文量子晶体上得以展示
IF 6.7 2区 物理与天体物理 Q1 PHYSICS, MULTIDISCIPLINARY Pub Date : 2024-09-05 DOI: 10.1088/2058-9565/ad7315
Shuxiang Cao, Weixi Zhang, Jules Tilly, Abhishek Agarwal, Mustafa Bakr, Giulio Campanaro, Simone D Fasciati, James Wills, Boris Shteynas, Vivek Chidambaram, Peter Leek and Ivan Rungger
A qutrit represents a three-level quantum system, so that one qutrit can encode more information than a qubit, which corresponds to a two-level quantum system. This work investigates the potential of qutrit circuits in machine learning classification applications. We propose and evaluate different data-encoding schemes for qutrits, and find that the classification accuracy varies significantly depending on the used encoding. We therefore propose a training method for encoding optimization that allows to consistently achieve high classification accuracy, and show that it can also improve the performance within a data re-uploading approach. Our theoretical analysis and numerical simulations indicate that the qutrit classifier can achieve high classification accuracy using fewer components than a comparable qubit system. We showcase the qutrit classification using the encoding optimization method on a superconducting transmon qutrit, demonstrating the practicality of the proposed method on noisy hardware. Our work demonstrates high-precision ternary classification using fewer circuit elements, establishing qutrit quantum circuits as a viable and efficient tool for quantum machine learning applications.
一个 qutrit 代表一个三级量子系统,因此一个 qutrit 所能编码的信息量要多于一个量子比特(相当于二级量子系统)。这项研究探讨了 qutrit 电路在机器学习分类应用中的潜力。我们为 qutrits 提出并评估了不同的数据编码方案,发现分类准确性因所使用的编码而有很大不同。因此,我们提出了一种编码优化的训练方法,该方法可以持续获得较高的分类准确率,并表明它还可以提高数据重载方法的性能。我们的理论分析和数值模拟表明,qutrit 分类器可以使用比同类量子比特系统更少的组件达到很高的分类精度。我们展示了在超导跨mon qutrit上使用编码优化方法进行的qutrit分类,证明了所提方法在噪声硬件上的实用性。我们的工作利用较少的电路元件展示了高精度的三元分类,从而确立了 qutrit 量子电路作为量子机器学习应用的可行和高效工具的地位。
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引用次数: 0
Daemonic quantum battery charged by thermalization 通过热化为 Daemonic 量子电池充电
IF 6.7 2区 物理与天体物理 Q1 PHYSICS, MULTIDISCIPLINARY Pub Date : 2024-09-03 DOI: 10.1088/2058-9565/ad7316
Matias Araya Satriani and Felipe Barra
The reduced state of a small system strongly coupled to a charger in thermal equilibrium may be athermal and used as a small battery once disconnected. By harnessing the battery-charger correlations, the battery’s extractable energy can increase above the ergotropy. We introduce a protocol that uses a quantum system as a memory that measures the charger and leaves the battery intact in its charged state. Using the information gained from the measurement, the daemonic ergotropy of the battery is extracted. Then the battery is reconnected to the charger, thermalizing and charging it. However, the memory should return to its initial standard state to close the thermodynamic cycle. Thus, on the one hand, the work cost of the cycle is the sum of the disconnecting and reconnecting battery-charger work plus the measurement and erasure work. On the other hand, the extracted energy is the daemonic ergotropy of the battery plus the ergotropy of the memory. The ratio of these quantities defines the efficiency of the cycle. The protocol is exemplified by a modified transverse spin 1/2 Ising chain, one spin functioning as the battery and the others as the charger. The memory is another auxiliary spin 1/2. We found pairs of measurement schemes from which we extract the same daemonic ergotropy from the battery, they dissipate the same amount of energy, and one leaves the memory in an active state, the other in a passive state. We study the memory’s ergotropy and the daemonic ergotropy of the battery. We find that with measurements, the efficiency can surpass that of the unmeasured protocol, given conditions on temperature, coupling, and choice of the measurement operators.
在热平衡状态下,与充电器强耦合的小系统的还原状态可能是热的,一旦断开连接,就可用作小型电池。通过利用电池与充电器的相关性,电池的可提取能量可以增加到超过各向异性。我们介绍了一种协议,它使用量子系统作为存储器,测量充电器并使电池保持充电状态。利用从测量中获得的信息,可以提取出电池的代魔熵。然后将电池重新连接到充电器,对其进行热处理和充电。然而,存储器应恢复到初始标准状态,以结束热力学循环。因此,一方面,循环的功耗是电池-充电器断开和重新连接功耗加上测量和擦除功耗的总和。另一方面,提取的能量是电池的 "幂熵 "加上存储器的 "熵"。这些量的比值决定了循环的效率。该协议以改进的横向自旋 1/2 伊辛链为例,其中一个自旋充当电池,其他自旋充当充电器。存储器是另一个辅助自旋 1/2。我们发现了一对测量方案,从中我们可以从电池中提取出相同的自旋各向异性,它们耗散的能量相同,其中一个让存储器处于激活状态,另一个则处于被动状态。我们研究了存储器的各向异性和电池的达观各向异性。我们发现,在温度、耦合和测量算子选择等条件下,有测量的效率可以超过无测量的协议。
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引用次数: 0
Generalized quantum Arimoto–Blahut algorithm and its application to quantum information bottleneck 广义量子 Arimoto-Blahut 算法及其在量子信息瓶颈中的应用
IF 6.7 2区 物理与天体物理 Q1 PHYSICS, MULTIDISCIPLINARY Pub Date : 2024-09-03 DOI: 10.1088/2058-9565/ad6eb1
Masahito Hayashi and Geng Liu
Quantum information bottleneck was proposed by Grimsmo and Still (2016 Phys. Rev. A 94 012338) as a promising method for quantum supervised machine learning. To study this method, we generalize the quantum Arimoto–Blahut algorithm by Ramakrishnan et al (2021 IEEE Trans. Inf. Theory67 946) to a function defined over a set of density matrices with linear constraints so that our algorithm can be applied to optimizations of quantum operations. This algorithm has wider applicability, and we apply our algorithm to the quantum information bottleneck with three quantum systems. We numerically compare our obtained algorithm with the existing algorithm by Grimsmo and Still. Our numerical analysis shows that our algorithm is better than their algorithm.
量子信息瓶颈由 Grimsmo 和 Still(2016 Phys. Rev. A 94 012338)提出,是量子监督机器学习的一种有前途的方法。为了研究这种方法,我们将 Ramakrishnan 等人(2021 IEEE Trans. Inf. Theory67 946)的量子 Arimoto-Blahut 算法推广到一个定义在一组具有线性约束的密度矩阵上的函数,这样我们的算法就可以应用于量子运算的优化。这种算法具有更广泛的适用性,我们将算法应用于三个量子系统的量子信息瓶颈。我们用数值比较了我们获得的算法和 Grimsmo 和 Still 的现有算法。数值分析表明,我们的算法优于他们的算法。
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引用次数: 0
Enhancing quantum annealing accuracy through replication-based error mitigation * 通过基于复制的错误缓解提高量子退火的准确性 *
IF 6.7 2区 物理与天体物理 Q1 PHYSICS, MULTIDISCIPLINARY Pub Date : 2024-09-01 DOI: 10.1088/2058-9565/ad6eb3
Hristo N Djidjev
Quantum annealers like those manufactured by D-Wave Systems are designed to find high quality solutions to optimization problems that are typically hard for classical computers. They utilize quantum effects like tunneling to evolve toward low-energy states representing solutions to optimization problems. However, their analog nature and limited control functionalities present challenges to correcting or mitigating hardware errors. As quantum computing advances towards applications, effective error suppression is an important research goal. We propose a new approach called replication based mitigation (RBM) based on parallel quantum annealing (QA). In RBM, physical qubits representing the same logical qubit are dispersed across different copies of the problem embedded in the hardware. This mitigates hardware biases, is compatible with limited qubit connectivity in current annealers, and is well-suited for currently available noisy intermediate-scale quantum annealers. Our experimental analysis shows that RBM provides solution quality on par with previous methods while being more flexible and compatible with a wider range of hardware connectivity patterns. In comparisons against standard QA without error mitigation on larger problem instances that could not be handled by previous methods, RBM consistently gets better energies and ground state probabilities across parameterized problem sets.
量子退火炉(如 D-Wave Systems 制造的量子退火炉)旨在为经典计算机通常难以解决的优化问题找到高质量的解决方案。它们利用量子效应(如隧道效应)向代表优化问题解决方案的低能态演化。然而,它们的模拟性质和有限的控制功能给纠正或减轻硬件错误带来了挑战。随着量子计算走向应用,有效的错误抑制是一个重要的研究目标。我们提出了一种基于并行量子退火(QA)的新方法,称为基于复制的缓解(RBM)。在 RBM 中,代表相同逻辑量子比特的物理量子比特被分散到嵌入硬件的问题的不同副本中。这可以减轻硬件偏差,与当前退火器中有限的量子比特连接兼容,并且非常适合当前可用的噪声中等规模量子退火器。我们的实验分析表明,RBM 提供的解决方案质量与以前的方法相当,同时更加灵活,兼容更广泛的硬件连接模式。在与标准 QA 的比较中,RBM 在以前的方法无法处理的更大问题实例中,始终获得更好的能量和基态概率。
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引用次数: 0
Quantum battery supercharging via counter-diabatic dynamics 通过反绝热动力学实现量子电池增压
IF 6.7 2区 物理与天体物理 Q1 PHYSICS, MULTIDISCIPLINARY Pub Date : 2024-08-29 DOI: 10.1088/2058-9565/ad71ed
L F C de Moraes, Alan C Duriez, A Saguia, Alan C Santos and M S Sarandy
We introduce a counter-diabatic (CD) approach for deriving Hamiltonians modeling superchargable quantum batteries (QBs). A necessary requirement for the supercharging process is the existence of multipartite interactions among the cells of the battery. Remarkably, this condition may be insufficient no matter the number of multipartite terms in the Hamiltonian. We analytically illustrate this kind of insufficiency through a model of QB based on the adiabatic version for the Grover search problem. On the other hand, we provide QB supercharging with just a mild number of global connections in the system. To this aim, we consider a spin- chain with n sites in the presence of Ising multipartite interactions. We then show that, by considering the validity of the adiabatic approximation and by adding n terms of -site interactions, we can achieve a Hamiltonian exhibiting maximum QB power, with respect to a normalized evolution time, growing quadratically with n. Therefore, supercharging can be achieved by O(n) terms of multipartite connections. The time constraint required by the adiabatic approximation can be surpassed by considering a CD expansion in terms of the gauge potential for the original Hamiltonian, with a limited O(n) many-body interaction terms assured via a Floquet approach for the CD implementation.
我们介绍了一种反绝热(CD)方法,用于推导可超级充电量子电池(QBs)的哈密顿模型。超充电过程的一个必要条件是电池单元之间存在多方相互作用。值得注意的是,无论哈密顿方程中的多方项数量有多少,这一条件都可能是不充分的。我们通过一个基于格罗弗搜索问题绝热版的 QB 模型,分析说明了这种不充分性。另一方面,我们在系统中只需少量全局连接就能实现 QB 超充。为此,我们考虑了存在伊辛多方位相互作用的 n 个位点的自旋链。然后我们证明,通过考虑绝热近似的有效性并加入 n 项-位点相互作用,我们可以得到一个显示最大 QB 功率的哈密顿方程,其归一化演化时间随 n 二次方增长。绝热近似所要求的时间限制,可以通过考虑以原始哈密顿方程的量规势为基础的 CD 扩展来克服,而有限的 O(n) 多体相互作用项则可以通过 Floquet 方法来实现。
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引用次数: 0
Synchronization-induced violation of thermodynamic uncertainty relations 同步引起的热力学不确定性关系的违反
IF 6.7 2区 物理与天体物理 Q1 PHYSICS, MULTIDISCIPLINARY Pub Date : 2024-08-28 DOI: 10.1088/2058-9565/ad6fc9
Luca Razzoli, Matteo Carrega, Fabio Cavaliere, Giuliano Benenti and Maura Sassetti
Fluctuations affect the functionality of nanodevices. Thermodynamic uncertainty relations (TURs), derived within the framework of stochastic thermodynamics, show that a minimal amount of dissipation is required to obtain a given relative energy current dispersion, that is, current precision has a thermodynamic cost. It is therefore of great interest to explore the possibility that TURs are violated, particularly for quantum systems, leading to accurate currents at lower cost. Here, we show that two quantum harmonic oscillators are synchronized by coupling to a common thermal environment, at strong dissipation and low temperature. In this regime, periodically modulated couplings to a second thermal reservoir, breaking time-reversal symmetry and taking advantage of non-Markovianity of this latter reservoir, lead to strong violation of TURs for local work currents, while maintaining finite output power. Our results pave the way for the use of synchronization in the thermodynamics of precision.
波动会影响纳米器件的功能。在随机热力学框架内推导出的热力学不确定性关系(TURs)表明,要获得给定的相对能量电流色散,需要最小量的耗散,也就是说,电流精度需要付出热力学代价。因此,探索违反 TUR 的可能性,尤其是量子系统的 TUR,从而以较低的成本获得精确的电流,是非常有意义的。在这里,我们展示了两个量子谐波振荡器在强耗散和低温条件下,通过耦合到一个共同的热环境而实现同步。在这种情况下,与第二个热库的周期性调制耦合打破了时间反转对称性,并利用了后一个热库的非马尔可夫性,导致局部功电流强烈违反 TUR,同时保持有限的输出功率。我们的研究结果为在精密热力学中使用同步技术铺平了道路。
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引用次数: 0
Hardware requirements for trapped-ion-based verifiable blind quantum computing with a measurement-only client 基于困离子的可验证盲量子计算与纯测量客户端的硬件要求
IF 6.7 2区 物理与天体物理 Q1 PHYSICS, MULTIDISCIPLINARY Pub Date : 2024-08-26 DOI: 10.1088/2058-9565/ad6eb2
J van Dam, G Avis, Tz B Propp, F Ferreira da Silva, J A Slater, T E Northup and S Wehner
In blind quantum computing (BQC), a user with a simple client device can perform a quantum computation on a remote quantum server such that the server cannot gain knowledge about the computation. Here, we numerically investigate hardware requirements for verifiable BQC using an ion trap as server and a distant measurement-only client. While the client has no direct access to quantum-computing resources, it can remotely execute quantum programs on the server by measuring photons emitted by the trapped ion. We introduce a numerical model for trapped-ion quantum devices in NetSquid, a discrete-event simulator for quantum networks. Using this, we determine the minimal hardware requirements on a per-parameter basis to perform the verifiable BQC protocol. We benchmark these for a five-qubit linear graph state, with which any single-qubit rotation can be performed, where client and server are separated by 50 km. Current state-of-the-art ion traps satisfy the minimal requirements on a per-parameter basis, but all current imperfections combined make it impossible to perform the blind computation securely over 50 km using existing technology. Using a genetic algorithm, we determine the set of hardware parameters that minimises the total improvements required, finding directions along which to improve hardware to reach our threshold error probability that would enable experimental demonstration. In this way, we lay a path for the near-term experimental progress required to realise the implementation of verifiable BQC over a 50 km distance.
在盲量子计算(BQC)中,拥有简单客户端设备的用户可以在远程量子服务器上执行量子计算,这样服务器就无法获得有关计算的知识。在这里,我们用数值方法研究了使用离子阱作为服务器和远程纯测量客户端的可验证 BQC 的硬件要求。虽然客户端无法直接访问量子计算资源,但它可以通过测量被困离子发射的光子,远程执行服务器上的量子程序。我们在量子网络离散事件模拟器 NetSquid 中引入了困离子量子设备的数值模型。利用该模型,我们确定了执行可验证的 BQC 协议对每个参数的最低硬件要求。我们对五量子比特线性图状态进行了基准测试,任何单量子比特旋转都可以执行,客户端和服务器相距 50 千米。目前最先进的离子阱在每个参数上都能满足最低要求,但目前所有的缺陷加在一起,使得利用现有技术无法在 50 千米的距离内安全地执行盲计算。利用遗传算法,我们确定了一套硬件参数,使所需的总改进降到最低,找到了改进硬件的方向,从而达到我们的阈值误差概率,使实验演示成为可能。这样,我们就为实现 50 千米距离上可验证的 BQC 所需的近期实验进展铺平了道路。
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引用次数: 0
Individually tunable tunnelling coefficients in optical lattices using local periodic driving 利用局部周期性驱动在光晶格中实现可单独调谐的隧道系数
IF 6.7 2区 物理与天体物理 Q1 PHYSICS, MULTIDISCIPLINARY Pub Date : 2024-08-26 DOI: 10.1088/2058-9565/ad69bb
Georgia M Nixon, F Nur Ünal and Ulrich Schneider
Ultracold atoms in optical lattices have emerged as powerful quantum simulators of translationally invariant systems with many applications in e.g. strongly-correlated and topological systems. However, the ability to locally tune all Hamiltonian parameters remains an outstanding goal that would enable the simulation of a wider range of quantum phenomena. Motivated by recent advances in quantum gas microscopes and optical tweezers, we here show theoretically how local control over individual tunnelling links in an optical lattice can be achieved by incorporating local time-periodic potentials. We propose to periodically modulate the on-site energy of individual lattice sites and employ Floquet theory to demonstrate how this provides full individual control over the tunnelling amplitudes in one dimension. We provide various example configurations realising interesting topological models such as extended Su–Schrieffer–Heeger models that would be challenging to realise by other means. Extending to two dimensions, we demonstrate that local periodic driving in a Lieb lattice engineers a two-dimensional (2D) network with fully controllable tunnelling magnitudes. In a three-site plaquette, we show full simultaneous control over the relative tunnelling amplitudes and the gauge-invariant flux piercing the plaquette, providing a clear stepping stone to building a fully programmable 2D tight-binding model. We also explicitly demonstrate how utilise our technique to generate a magnetic field gradient in 2D. This local modulation scheme is applicable to many different lattice geometries.
光学晶格中的超冷原子已成为平移不变系统的强大量子模拟器,在强相关和拓扑系统等方面有许多应用。然而,局部调整所有哈密顿参数的能力仍然是一个有待实现的目标,这将使我们能够模拟更广泛的量子现象。受量子气体显微镜和光学镊子最新进展的启发,我们在此从理论上展示了如何通过加入局部时间周期势能来实现对光学晶格中单个隧穿链路的局部控制。我们建议周期性地调节单个晶格位点的现场能量,并采用 Floquet 理论来演示如何在一维范围内实现对隧穿振幅的全面单独控制。我们提供了实现有趣拓扑模型(如扩展的苏-施里弗-希格模型)的各种示例配置,这些模型通过其他方法实现具有挑战性。扩展到二维,我们证明了在利布晶格中的局部周期性驱动可以设计出具有完全可控隧穿幅度的二维(2D)网络。在三位格中,我们展示了对相对隧穿幅度和穿透位格的量规不变通量的完全同步控制,为建立完全可编程的二维紧密结合模型提供了一个清晰的基石。我们还明确演示了如何利用我们的技术在二维中产生磁场梯度。这种局部调制方案适用于许多不同的晶格几何结构。
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引用次数: 0
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Quantum Science and Technology
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