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Wavelet-Based Quantum Sensing of Geomagnetic Fluctuations With Multiple NV Ensembles 基于小波的多NV系综地磁波动量子传感
Pub Date : 2025-01-15 DOI: 10.1109/TQE.2025.3529868
Chou-Wei Kiang;Jean-Fu Kiang
Nitrogen-vacancy (NV) ensembles are viable magnetometers to be implemented on nanosatellites for monitoring geomagnetic fluctuations, which are credible precursors for predicting earthquakes at short notice. In this work, a Haar wavelet-based quantum sensing method is proposed to reconstruct the time-varying waveform of geomagnetic fluctuations in the very low frequency band. To collect different frequency components of fluctuations waveform at once, we propose a schematic to employ multiple NV ensembles (NVEs), with each controlled by an independent microwave source. Berry sequences are applied on one set of NVEs to extract the scaling coefficients from accumulated geometric phases to reconstruct near-dc components of a waveform. Spin-echo sequences are applied to another set of NVEs to extract the Haar wavelet coefficients from the dynamic phases to reconstruct high-frequency components. The efficacy of the proposed sensing protocol implemented on multiple NVEs is validated by reconstructing a waveform of geomagnetic fluctuations from a DEMETER satellite dataset through simulations. Each NVE is assumed to contain $N = 10^{8}$ uncorrelated NV centers. The application of a Berry sequence to each NVE can achieve the maximum detectable magnetic field of over $460 mu$T, resolving the issues of phase ambiguity and hyperfine-induced detuning if conventional Ramsey sequence were applied. The feasibility of the proposed simulation scenario considering spin-bath noise within an NVE is justified by simulations. The effects of wavelet scales, Rabi frequency in Berry sequence, and number of NV centers in each NVE are analyzed. The proposed NVE quantum sensors operated with the proposed sensing protocol can be installed on nanosatellites to monitor global geomagnetic fluctuations, with sub-$mu$s temporal resolution in the near future.
氮空位(NV)集合是一种可行的磁力计,将在纳米卫星上实施,用于监测地磁波动,而地磁波动是在短时间内预测地震的可靠前兆。本文提出了一种基于Haar小波的量子传感方法,用于重建地磁波动在极低频段的时变波形。为了同时收集波动波形的不同频率成分,我们提出了一个使用多个NV集成(nve)的示意图,每个nve由一个独立的微波源控制。在一组nve上应用Berry序列,从累积的几何相位中提取尺度系数,重建波形的近直流分量。将自旋回波序列应用于另一组nve,从动态相位提取Haar小波系数,重构高频分量。通过模拟重建DEMETER卫星数据集的地磁波动波形,验证了该传感方案在多个nve上实现的有效性。假设每个NVE包含$N = 10^{8}$不相关的NV中心。对每个NVE应用Berry序列可以实现超过$460 mu$T的最大可检测磁场,解决了使用常规Ramsey序列时的相位模糊和超细诱导失谐问题。通过仿真验证了该方法的可行性。分析了小波尺度、Berry序列中的Rabi频率和每个NVE中NV中心数的影响。按照拟议传感协议运行的拟议NVE量子传感器可安装在纳米卫星上,以监测全球地磁波动,在不久的将来,其时间分辨率将低于5 μ m。
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引用次数: 0
Quantum Two-Way Protocol Beyond Superdense Coding: Joint Transfer of Data and Entanglement 超越超密集编码的量子双向协议:数据和纠缠的联合传输
Pub Date : 2025-01-10 DOI: 10.1109/TQE.2025.3528238
Kristian S. Jensen;Lorenzo Valentini;René B. Christensen;Marco Chiani;Petar Popovski
In this article, we introduce a generalization of one-way superdense coding to two-way communication protocols for transmitting classical bits by using entangled quantum pairs. The proposed protocol jointly addresses the provision of entangled pairs and superdense coding, introducing an integrated approach for managing entanglement within the communication protocol. To assess the performance of the proposed protocol, we consider its data rate and resource usage, and we analyze this both in an ideal setting with no decoherence and in a more realistic setting where decoherence must be taken into account. In the ideal case, the proposal offers a 50% increase in both data rate and resource usage efficiency compared to conventional protocols. Even when decoherence is taken into consideration, the quantum protocol performs better as long as the decoherence time is not extremely short. Finally, we present the results of implementing the protocol in a computer simulation based on the NetSquid framework. We compare the simulation results with the theoretical values.
在本文中,我们将单向超密编码推广到利用纠缠量子对传输经典比特的双向通信协议。提出的协议共同解决了纠缠对和超密集编码的提供,引入了一种集成的方法来管理通信协议中的纠缠。为了评估所提出的协议的性能,我们考虑了它的数据速率和资源使用,并在没有退相干的理想环境和必须考虑退相干的更现实的环境中对其进行了分析。在理想情况下,与传统协议相比,该提案在数据速率和资源使用效率方面都提高了50%。即使考虑退相干,只要退相干时间不太短,量子协议的性能也较好。最后,给出了基于NetSquid框架的计算机仿真实现结果。将仿真结果与理论值进行了比较。
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引用次数: 0
Benchmarking Quantum Circuit Transformation With QKNOB Circuits 利用 QKNOB 电路为量子电路转换建立基准
Pub Date : 2025-01-08 DOI: 10.1109/TQE.2025.3527399
Sanjiang Li;Xiangzhen Zhou;Yuan Feng
Current superconducting quantum devices impose strict connectivity constraints on quantum circuit execution, necessitating circuit transformation before executing quantum circuits on physical hardware. Numerous quantum circuit transformation (QCT) algorithms have been proposed. To enable faithful evaluation of state-of-the-art QCT algorithms, this article introduces qubit mapping benchmark with known near-optimality (QKNOB), a novel benchmark construction method for QCT. QKNOB circuits have built-in transformations with near-optimal (close to the theoretical optimum) swap count and depth overhead. QKNOB provides general and unbiased evaluation of QCT algorithms. Using QKNOB, we demonstrate that SABRE, the default Qiskit compiler, consistently achieves the best performance on the 53-qubit IBM Q Rochester and Google Sycamore devices for both swap count and depth objectives. Our results also reveal significant performance gaps relative to the near-optimal transformation costs of QKNOB. Our construction algorithm and benchmarks are open-source.
目前的超导量子器件对量子电路的执行有严格的连通性约束,在物理硬件上执行量子电路之前需要进行电路转换。许多量子电路变换(QCT)算法已经被提出。为了对最先进的QCT算法进行忠实评估,本文介绍了一种新的QCT基准构建方法——已知近最优性量子比特映射基准(QKNOB)。QKNOB电路具有接近最优(接近理论最优)交换计数和深度开销的内置转换。QKNOB提供了QCT算法的一般和无偏评估。使用QKNOB,我们证明了默认的Qiskit编译器SABRE在53量子位IBM Q Rochester和谷歌Sycamore设备上始终实现交换计数和深度目标的最佳性能。我们的结果还揭示了相对于QKNOB接近最优转换成本的显著性能差距。我们的构造算法和基准是开源的。
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引用次数: 0
Convexification of the Quantum Network Utility Maximization Problem 量子网络效用最大化问题的凸化
Pub Date : 2024-12-30 DOI: 10.1109/TQE.2024.3523889
Sounak Kar;Stephanie Wehner
Network utility maximization (NUM) addresses the problem of allocating resources fairly within a network and explores the ways to achieve optimal allocation in real-world networks. Although extensively studied in classical networks, NUM is an emerging area of research in the context of quantum networks. In this work, we consider the quantum network utility maximization (QNUM) problem in a static setting, where a user's utility takes into account the assigned quantum quality (fidelity) via a generic entanglement measure, as well as the corresponding rate of entanglement generation. Under certain assumptions, we demonstrate that the QNUM problem can be formulated as an optimization problem with the rate allocation vector as the only decision variable. Using a change-of-variable technique known in the field of geometric programming, we then establish sufficient conditions under which this formulation can be reduced to a convex problem: a class of optimization problems that can be solved efficiently and with certainty even in high dimensions. We further show that this technique preserves convexity, enabling us to formulate convex QNUM problems in networks where some routes have certain entanglement measures that do not readily admit convex formulation while others do. This allows us to compute the optimal resource allocation in networks where heterogeneous applications run over different routes.
网络效用最大化(Network utility maximization, NUM)解决了网络中资源公平分配的问题,并探索了在现实网络中实现最优分配的方法。虽然在经典网络中进行了广泛的研究,但NUM是量子网络背景下的一个新兴研究领域。在这项工作中,我们考虑了静态设置中的量子网络效用最大化(QNUM)问题,其中用户的效用考虑了通过通用纠缠度量分配的量子质量(保真度)以及相应的纠缠生成率。在一定的假设条件下,我们证明了QNUM问题可以表述为一个以速率分配向量为唯一决策变量的优化问题。利用几何规划领域中已知的变量变换技术,我们建立了充分条件,在此条件下,该公式可以简化为凸问题:一类即使在高维中也可以有效且确定地解决的优化问题。我们进一步证明了这种技术保留了凸性,使我们能够在网络中制定凸QNUM问题,其中一些路线具有某些纠缠措施,这些措施不易接受凸公式,而其他路线则不易接受凸公式。这允许我们在异构应用程序在不同路由上运行的网络中计算最佳资源分配。
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引用次数: 0
C3-VQA: Cryogenic Counter-Based Coprocessor for Variational Quantum Algorithms C3-VQA:变分量子算法的低温计数器协处理器
Pub Date : 2024-12-23 DOI: 10.1109/TQE.2024.3521442
Yosuke Ueno;Satoshi Imamura;Yuna Tomida;Teruo Tanimoto;Masamitsu Tanaka;Yutaka Tabuchi;Koji Inoue;Hiroshi Nakamura
Cryogenic quantum computers play a leading role in demonstrating quantum advantage. Given the severe constraints on the cooling capacity in cryogenic environments, thermal design is crucial for the scalability of these computers. The sources of heat dissipation include passive inflow via intertemperature wires and the power consumption of components located in the cryostat, such as wire amplifiers and quantum–classical interfaces. Thus, a critical challenge is to reduce the number of wires by reducing the required intertemperature bandwidth while maintaining minimal additional power consumption in the cryostat. One solution to address this challenge is near-data processing using ultralow-power computational logic within the cryostat. Based on the workload analysis and domain-specific system design focused on variational quantum algorithms (VQAs), we propose the cryogenic counter-based coprocessor for VQAs (C3-VQA) to enhance the design scalability of cryogenic quantum computers under the thermal constraint. The C3-VQA utilizes single-flux-quantum logic, which is an ultralow-power superconducting digital circuit that operates at the 4 K environment. The C3-VQA precomputes a part of the expectation value calculations for VQAs and buffers intermediate values using simple bit operation units and counters in the cryostat, thereby reducing the required intertemperature bandwidth with small additional power consumption. Consequently, the C3-VQA reduces the number of wires, leading to a reduction in the total heat dissipation in the cryostat. Our evaluation shows that the C3-VQA reduces the total heat dissipation at the 4 K stage by 30% and 81% under sequential-shot and parallel-shot execution scenarios, respectively. Furthermore, a case study in quantum chemistry shows that the C3-VQA reduces total heat dissipation by 87% with a 10 000-qubit system.
低温量子计算机在展示量子优势方面发挥着主导作用。考虑到低温环境对冷却能力的严格限制,热设计对这些计算机的可扩展性至关重要。散热的来源包括通过间温导线的被动流入和低温恒温器中元件的功耗,如线放大器和量子经典界面。因此,一个关键的挑战是通过减少所需的温间带宽来减少导线的数量,同时保持低温恒温器中最小的额外功耗。解决这一挑战的一个解决方案是在低温恒温器中使用超低功耗计算逻辑进行近数据处理。基于变分量子算法(VQAs)的工作负载分析和特定领域系统设计,提出了基于低温计数器的变分量子算法协处理器(C3-VQA),以提高低温量子计算机在热约束下的设计可扩展性。C3-VQA采用单通量量子逻辑,这是一种在4k环境下工作的超低功率超导数字电路。C3-VQA预先计算vqa的期望值计算的一部分,并使用简单的位操作单元和低温恒温器中的计数器缓冲中间值,从而以较小的额外功耗减少所需的温间带宽。因此,C3-VQA减少了电线的数量,从而减少了低温恒温器的总散热。我们的评估表明,C3-VQA在4 K阶段的总散热在顺序射击和并行射击的情况下分别减少了30%和81%。此外,量子化学的一个案例研究表明,C3-VQA在10000量子位系统中减少了87%的总散热。
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引用次数: 0
RSFQ All-Digital Programmable Multitone Generator for Quantum Applications 用于量子应用的RSFQ全数字可编程多音发生器
Pub Date : 2024-12-20 DOI: 10.1109/TQE.2024.3520805
João Barbosa;Jack C. Brennan;Alessandro Casaburi;M. D. Hutchings;Alex Kirichenko;Oleg Mukhanov;Martin Weides
One of the most important and topical challenges of quantum circuits is their scalability. Rapid single flux quantum (RSFQ) technology is at the forefront of replacing current standard CMOS-based control architectures for a number of applications, including quantum computing and quantum sensor arrays. By condensing the control and readout to single-flux-quantum-based on-chip devices that are directly connected to the quantum systems, it is possible to minimize the total system overhead, improving scalability and integration. In this article, we present a novel RSFQ device that generates multitone digital signals, based on complex pulse train sequences using a circular shift register (CSR) and a comb filter stage. We show that the frequency spectrum of the pulse trains is dependent on a preloaded pattern on the CSR, as well as on the delay line of the comb filter stage. By carefully selecting both the pattern and delay, the desired tones can be isolated and amplified as required. Finally, we propose architectures where this device can be implemented to control and read out arrays of quantum devices, such as qubits and single-photon detectors.
量子电路最重要和最热门的挑战之一是其可扩展性。快速单通量量子(RSFQ)技术在量子计算和量子传感器阵列等许多应用中取代了当前基于cmos的标准控制体系结构。通过将控制和读出压缩到直接连接到量子系统的基于单通量量子的片上设备,可以最大限度地减少总系统开销,提高可扩展性和集成度。在这篇文章中,我们提出了一种新的RSFQ装置,它产生多音数字信号,基于复杂的脉冲序列序列,使用圆移位寄存器(CSR)和梳状滤波器级。我们表明,脉冲序列的频谱依赖于CSR上的预加载模式,以及梳状滤波器级的延迟线。通过仔细选择模式和延迟,可以根据需要隔离和放大所需的音调。最后,我们提出了可以实现该器件的架构,以控制和读出量子器件阵列,例如量子比特和单光子探测器。
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引用次数: 0
IEEE Transactions on Quantum Engineering Publication Information IEEE量子工程学报
Pub Date : 2024-12-17 DOI: 10.1109/TQE.2023.3316596
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引用次数: 0
Novel Trade-offs in 5 nm FinFET SRAM Arrays at Extremely Low Temperatures 极低温下5nm FinFET SRAM阵列的新权衡
Pub Date : 2024-12-05 DOI: 10.1109/TQE.2024.3512367
Shivendra Singh Parihar;Girish Pahwa;Baker Mohammad;Yogesh Singh Chauhan;Hussam Amrouch
Complementary metal–oxide–semiconductor (CMOS)-based computing promises drastic improvement in performance at extremely low temperatures (e.g., 77 K, 10 K). The field of extremely low temperature CMOS-environment-based computing holds the promise of delivering remarkable enhancements in both performance and power consumption. Static random access memory (SRAM) plays a major role in determining the performance and efficiency of any processor due to its superior performance and density. This work aims to reveal how extremely low temperature operations profoundly impact the existing well-known tradeoffs in SRAM-based memory arrays. To accomplish this, first, we measure and model the 5 nm fin field-effect transistors characteristics over a wide temperature range from 300 K down to 10 K. Next, we develop a framework to perform simulations on the SRAM array by varying the number of rows and columns for examining the influence of leakage current ($I$leak) and parasitic effects of bit line (BL) and word line (WL) on the size and performance of the SRAM array under extremely low temperatures. For a comprehensive analysis, we further investigated the maximum attainable array size, extending our study down to 10 K, utilizing three distinct cell types. With the help of SRAM array simulations, we reveal that the maximum array size at extremely low temperatures is limited by WL parasitics instead of $I$leak, and the performance of the SRAM is governed by BL and WL parasitics. In addition, we elucidate the influence of transistor threshold voltage ($V$TH) engineering on the optimization of the SRAM array at extremely low temperature environments.
基于互补金属氧化物半导体(CMOS)的计算有望在极低温(例如77 K, 10 K)下大幅提高性能。基于CMOS环境的极低温计算领域有望在性能和功耗方面实现显着提高。静态随机存取存储器(SRAM)由于其优越的性能和密度,在决定任何处理器的性能和效率方面起着重要作用。这项工作旨在揭示极低温操作如何深刻影响基于sram的存储阵列中现有的众所周知的权衡。为了实现这一目标,首先,我们在300 K到10 K的宽温度范围内测量并模拟了5nm翅片场效应晶体管的特性。接下来,我们开发了一个框架,通过改变行数和列数来对SRAM阵列进行模拟,以检查泄漏电流($I$leak)和位线(BL)和字线(WL)的寄生效应对SRAM阵列在极低温下的尺寸和性能的影响。为了进行全面分析,我们进一步研究了可实现的最大阵列大小,将我们的研究扩展到10 K,利用三种不同的细胞类型。通过对SRAM阵列的仿真,我们发现在极低温度下的最大阵列尺寸是由WL寄生而不是$I$泄漏限制的,SRAM的性能是由BL和WL寄生控制的。此外,我们还阐明了晶体管阈值电压($V$TH)工程对极低温环境下SRAM阵列优化的影响。
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引用次数: 0
Dissipative Variational Quantum Algorithms for Gibbs State Preparation 吉布斯态制备的耗散变分量子算法
Pub Date : 2024-12-04 DOI: 10.1109/TQE.2024.3511419
Yigal Ilin;Itai Arad
In recent years, variational quantum algorithms have gained significant attention due to their adaptability and efficiency on near-term quantum hardware. They have shown potential in a variety of tasks, including linear algebra, search problems, Gibbs, and ground state preparation. Nevertheless, the presence of noise in current day quantum hardware severely limits their performance. In this work, we introduce dissipative variational quantum algorithms (D-VQAs) by incorporating dissipative operations, such as qubit RESET and stochastic gates, as an intrinsic part of a variational quantum circuit. We argue that such dissipative variational algorithms possess some natural resilience to dissipative noise. We demonstrate how such algorithms can prepare Gibbs states over a wide range of quantum many-body Hamiltonians and temperatures, while significantly reducing errors due to both coherent and noncoherent noise. An additional advantage of our approach is that no ancilla qubits are need. Our results highlight the potential of D-VQAs to enhance the robustness and accuracy of variational quantum computations on noisy intermediate-scale quantum (NISQ) devices.
近年来,变分量子算法因其在近期量子硬件上的适应性和高效性而备受关注。它们在各种任务中显示出潜力,包括线性代数、搜索问题、吉布斯和基态制备。然而,当前量子硬件中存在的噪声严重限制了它们的性能。在这项工作中,我们引入耗散变分量子算法(D-VQAs),通过将耗散操作,如量子比特RESET和随机门,作为变分量子电路的固有部分。我们认为这种耗散变分算法对耗散噪声具有一定的自然弹性。我们演示了这种算法如何在大范围的量子多体哈密顿量和温度下制备吉布斯态,同时显着减少由相干和非相干噪声引起的误差。我们的方法的另一个优点是不需要辅助量子位。我们的研究结果强调了d - vqa在提高噪声中尺度量子(NISQ)器件上变分量子计算的鲁棒性和准确性方面的潜力。
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引用次数: 0
TAQNet: Traffic-Aware Minimum-Cost Quantum Communication Network Planning 流量感知最小成本量子通信网络规划
Pub Date : 2024-11-28 DOI: 10.1109/TQE.2024.3509019
Ilora Maity;Junaid ur Rehman;Symeon Chatzinotas
Quantum key distribution (QKD) provides a secure method to exchange encrypted information between two parties in a quantum communication infrastructure (QCI). The primary challenge in deploying a QCI is the cost of using optical fibers and trusted repeater nodes (TRNs). Practical systems combine quantum and classical channels on the same fiber to reduce the cost of fibers dedicated to QKD. In such a system with quantum-classical coexistence, the optimal distribution of QKD requests with minimal deployment cost and power usage on the multiplexed links is challenging due to the diverse key rate demands of the requests, number of classical and quantum channels, guard band spacing between classical and quantum channels, and secret key rate of the quantum channels that decreases with distance. To address these challenges, in this work, we propose a Steiner tree-based approach for constructing a QCI that connects all quantum nodes with minimum TRNs. In addition, we propose a genetic algorithm-based solution to optimally distribute the end-to-end QKD requests over the QCI. We also determine feasible optical bypass routes to reduce the overall energy consumption in the network further. The proposed approach reduces the QCI deployment cost by 19.42% compared to the benchmark MST-Baseline. Also, on average, TAQNet with optical bypass achieves 4.69 kbit per Joule more energy efficiency compared to the nonbypass approach.
量子密钥分发(QKD)为量子通信基础设施(QCI)中的双方交换加密信息提供了一种安全的方法。部署QCI的主要挑战是使用光纤和可信中继器节点(trn)的成本。实际系统在同一光纤上结合量子信道和经典信道,以降低专用于量子密钥分配的光纤的成本。在这种量子-经典共存的系统中,由于请求的密钥速率需求不同、经典信道和量子信道的数量不同、经典信道和量子信道之间的保护带间距不同以及量子信道的密钥速率随距离减小,因此在复用链路上以最小的部署成本和功耗实现QKD请求的最佳分配是一项挑战。为了解决这些挑战,在这项工作中,我们提出了一种基于斯坦纳树的方法来构建一个QCI,该QCI以最小trn连接所有量子节点。此外,我们提出了一种基于遗传算法的解决方案,以最优地在QCI上分发端到端QKD请求。我们还确定了可行的光旁路路由,以进一步降低网络的总体能耗。与基准MST-Baseline相比,所提出的方法将QCI部署成本降低了19.42%。此外,平均而言,与非bypass方法相比,具有光bypass的TAQNet实现了4.69 kbit /焦耳的能量效率。
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引用次数: 0
期刊
IEEE Transactions on Quantum Engineering
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