IEEE Transactions on Quantum Engineering最新文献

{"title":"Rapid Autotuning of a SiGe Quantum Dot Into the Single-Electron Regime With Machine Learning and RF-Reflectometry FPGA-Based Measurements","authors":"Marc-Antoine Roux;Joffrey Rivard;Victor Yon;Alexis Morel;Dominic Leclerc;Claude Rohrbacher;El Bachir Ndiaye;Felice Francesco Tafuri;Brendan Bono;Stefan Kubicek;Roger Loo;Yosuke Shimura;Julien Jussot;Clément Godfrin;Danny Wan;Kristiaan De Greve;Marc-André Tétrault;Dominique Drouin;Christian Lupien;Michel Pioro-Ladrière;Eva Dupont-Ferrier","doi":"10.1109/TQE.2026.3670353","DOIUrl":"https://doi.org/10.1109/TQE.2026.3670353","url":null,"abstract":"Spin qubits need to operate within a very precise voltage space around charge state transitions to achieve high-fidelity gates. However, the stability diagrams that allow the identification of the desired charge states are long to acquire. Moreover, the voltage space to search for the desired charge state increases quickly with the number of qubits. Therefore, faster stability diagram acquisitions are needed to scale up a spin qubit quantum processor. Currently, most methods focus on more efficient data sampling. Our approach shows a significant speedup by combining measurement speedup and a reduction in the number of measurements needed to tune a quantum dot device. Using an autotuning algorithm based on a neural network and faster measurements by harnessing the field-programmable gate array embedded in Keysight’s Quantum Engineering Toolkit, the measurement time of stability diagrams has been reduced by a factor of 9.8. This led to an acceleration factor of 2.2 for the total initialization time of a SiGe quantum dot into the single-electron regime, which is limited by the Python code execution.","PeriodicalId":100644,"journal":{"name":"IEEE Transactions on Quantum Engineering","volume":"7 ","pages":"1-7"},"PeriodicalIF":4.6,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11421007","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147665282","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Information-Theoretic Analysis of Bayesian Quantum State Search","authors":"Zhelun Li;Koji Terashi","doi":"10.1109/TQE.2026.3660364","DOIUrl":"https://doi.org/10.1109/TQE.2026.3660364","url":null,"abstract":"We present an information-theoretic approach to quantum state classification based on sequential Bayesian inference. In each measurement step, the algorithm updates a probability distribution over candidate states by applying Bayes' rule to the observed outcome. For each measurement shot on an unknown quantum state, the algorithm selects the observable with the highest expected information gain, continuing until convergence. We demonstrate using the simulations that this algorithm effectively identifies quantum states sampled from the Haar-random distribution. However, despite not relying on circuit-based quantum neural networks, the algorithm still encounters challenges akin to the barren plateau problem. In the leading order, we show that the information gain is proportional to the variance of the observable's expectation values over candidate states. As the system size increases, the variance and consequently the information gain are exponentially suppressed, which poses significant challenges for classifying general Haar-random quantum states. Finally, we apply the Bayesian search algorithm to classify the ground states of various Hamiltonians using physically motivated observables. On both simulators and quantum computers, the Bayesian search algorithm yields better performances when compared to methods that are not information-optimized. This indicates that the measurement of physically motivated observables can significantly improve the classification performance, guiding toward the future direction of this approach.","PeriodicalId":100644,"journal":{"name":"IEEE Transactions on Quantum Engineering","volume":"7 ","pages":"1-12"},"PeriodicalIF":4.6,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11371445","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147557826","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Quantum Annealing for Robust Principal Component Analysis","authors":"Ian Tomeo;Panagiotis Markopoulos;Andreas Savakis","doi":"10.1109/TQE.2026.3661822","DOIUrl":"https://doi.org/10.1109/TQE.2026.3661822","url":null,"abstract":"Principal component analysis is commonly used for dimensionality reduction, feature extraction, denoising, and visualization. The most commonly used principal component analysis method is based upon optimization of the <inline-formula><tex-math>$L_{2}$</tex-math></inline-formula>-norm; however, the <inline-formula><tex-math>$L_{2}$</tex-math></inline-formula>-norm is known to exaggerate the contribution of errors and outliers. When optimizing over the <inline-formula><tex-math>$L_{1}$</tex-math></inline-formula>-norm, the components generated are known to exhibit robustness or resistance to outliers in the data. The <inline-formula><tex-math>$L_{1}$</tex-math></inline-formula>-norm components can be solved for with a binary optimization problem. Previously, L1-BF has been used to solve the binary optimization for multiple components simultaneously. In this article, we propose quantum annealing principal component analysis (QAPCA), a new method for finding principal components using quantum annealing hardware that will optimize over the <inline-formula><tex-math>$L_{1}$</tex-math></inline-formula>-norm. The conditions required for convergence of the annealing problem are discussed. The potential speedup when using quantum annealing is demonstrated through complexity analysis and experimental results. To showcase performance against classical principal component analysis technique experiments upon synthetic Gaussian data, a fault detection scenario and breast cancer diagnostic data are studied. We find that the reconstruction error when using QAPCA is comparable to that when using L1-BF.","PeriodicalId":100644,"journal":{"name":"IEEE Transactions on Quantum Engineering","volume":"7 ","pages":"1-11"},"PeriodicalIF":4.6,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11373215","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147557959","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Orthogonal Frequency-Division Multiplexing Continuous-Variable Terahertz QKD for Large-Scale Wireless Quantum Communication","authors":"Mingqi Zhang;Kaveh Delfanazari","doi":"10.1109/TQE.2026.3669050","DOIUrl":"https://doi.org/10.1109/TQE.2026.3669050","url":null,"abstract":"In this article, we introduce a continuous-variable quantum key distribution (CVQKD) protocol that combines orthogonal frequency-division multiplexing with terahertz (THz) carriers to deliver high-throughput and hardware-compatible quantum communication. By distributing quantum states across multiple subcarriers, our approach achieves a noticeable increase in spectral efficiency while mitigating dispersion and atmospheric losses that limit the performance of existing optical and microwave CVQKD systems. A full security analysis under collective Gaussian attacks is presented, incorporating realistic noise models for both terrestrial and intersatellite channels. In terrestrial free-space links, our simulations show secret key rates approaching 72 bits per channel use, with secure distances up to 4.5 m under strong humidity-induced absorption. For intersatellite links, where propagation losses are minimal, secure transmission is sustained over 100 km. A distinctive feature of our work is its direct link to practical hardware. We evaluate implementation using emerging on-chip coherent THz sources based on superconducting Josephson junctions. These compact voltage-tunable emitters provide wideband coherent radiation ideally matched to our protocol, enabling scalable chip-integrated quantum networks. By incorporating their measured characteristics into our models, we demonstrate secure communication up to 3 m in ambient conditions and ∼26 km under cryogenic or vacuum conditions. By uniting advanced protocol design, rigorous security modeling, and hardware-driven performance analysis, this work establishes THz CVQKD as a viable and scalable route to next-generation terrestrial and space-based quantum communication.","PeriodicalId":100644,"journal":{"name":"IEEE Transactions on Quantum Engineering","volume":"7 ","pages":"1-13"},"PeriodicalIF":4.6,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11417762","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147665172","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Accelerating the Max-Cut Problems via Distributed Ising Machine Solvers","authors":"Xing-yu Wu;Yi-Xin Zhang;Chen-rui Fan;Chuan Wang","doi":"10.1109/TQE.2026.3666889","DOIUrl":"https://doi.org/10.1109/TQE.2026.3666889","url":null,"abstract":"The Ising machine, as a quantum-inspired computing system, can be used to efficiently solve combinatorial optimization problems. Ongoing studies have positioned it to potentially surpass the performance limitations of traditional computers. However, such Ising machines also suffer from scalability as the solution quality becomes suboptimal when the problem size increases. In this work, we propose an Ising-based framework that uses a distributed Ising algorithm to find the near-optimal solution for large-scale Max-Cut problems through parallel processing via graph segmentation and reassembly. We selected the coherent Ising machine as the hardware solver and successfully found the solution for a 2000-node instance utilizing 20 computational bits on the GSet standard dataset. In addition, we investigated the key factors influencing the system’s performance and discovered that setting the number of reorganizations to one results in higher accuracy. Building on this configuration, we utilized a 100-bit CIM hardware platform (CPQC-1) to solve instances with varying numbers of nodes. The experimental results agree well with the theoretical simulations, confirming the practical feasibility of our method. Moreover, compared to existing Ising-based solvers, our algorithm significantly reduces computational resource requirements while achieving superior performance on large-scale combinatorial optimization problems, highlighting its effectiveness on quantum-inspired hardware.","PeriodicalId":100644,"journal":{"name":"IEEE Transactions on Quantum Engineering","volume":"7 ","pages":"1-10"},"PeriodicalIF":4.6,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11407464","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147606236","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"InterQnet: A Heterogeneous Full-Stack Approach to Co-Designing Scalable Quantum Networks","authors":"Joaquin Chung;Daniel Dilley;Ely Eastman;Alvin Gonzales;Kara Hokenstad;Md Shariful Islam;Varun Jorapur;Joseph Petrullo;Andy C. Y. Li;Bikun Li;Vasileios Niaouris;Anirudh Ramesh;Ansh Singal;Zeyu Ye;Caitao Zhan;Michael Bishof;Eric Chitambar;Jacob P. Covey;Alan Dibos;Xu Han;Liang Jiang;Prem Kumar;Jeffrey Larson;Zain H. Saleem;Rajkumar Kettimuthu","doi":"10.1109/TQE.2026.3674887","DOIUrl":"https://doi.org/10.1109/TQE.2026.3674887","url":null,"abstract":"Quantum communications have progressed significantly, moving from a theoretical concept to small-scale experiments to recent metropolitan-scale demonstrations. As the technology matures, it is expected to revolutionize quantum computing in much the same way that classical networks revolutionized classical computing. Quantum communications will also enable breakthroughs in quantum sensing, metrology, and other areas. However, scalability has emerged as a major challenge, particularly in terms of the number and heterogeneity of nodes, the distances between nodes, the diversity of applications, and the scale of user demand. This article describes InterQnet, a multidisciplinary project that advances scalable quantum communications through a comprehensive approach that improves devices, error handling, and network architecture. InterQnet has a two-pronged strategy to address scalability challenges: InterQnet-Achieve focuses on practical realizations of heterogeneous quantum networks by building and then integrating first-generation quantum repeaters with error mitigation schemes and centralized automated network control systems. The resulting system will enable quantum communications between two heterogeneous quantum platforms through a third type of platform operating as a repeater node. InterQnet-Scale focuses on a systems study of architectural choices for scalable quantum networks by developing forward-looking models of quantum network devices, advanced error correction schemes, and entanglement protocols. Here, we report our current progress toward achieving our scalability goals.","PeriodicalId":100644,"journal":{"name":"IEEE Transactions on Quantum Engineering","volume":"7 ","pages":"1-21"},"PeriodicalIF":4.6,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11440135","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147796047","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Cut&Shoot: Distributed Execution of Quantum Circuit Fragments","authors":"Giuseppe Bisicchia;Alessandro Bocci;Jose Garcia-Alonso;Juan M. Murillo;Antonio Brogi","doi":"10.1109/TQE.2026.3675340","DOIUrl":"https://doi.org/10.1109/TQE.2026.3675340","url":null,"abstract":"Quantum computing is progressing at a rapid pace, although still constrained by the limitations of noisy intermediate-scale quantum (NISQ) devices, such as restricted qubit counts and high susceptibility to noise. To address these constraints, researchers have begun adapting classical software engineering principles to the quantum realm, giving rise to the field of quantum software engineering. Within this context, techniques, such as circuit-cutting and shotwise distribution, have emerged as promising approaches to divide quantum circuits into smaller fragments and to improve the scalability and reliability of quantum computations. In this article, we present our Cut&Shoot pipeline, which supports the cutting of quantum circuits and the flexible distribution of their shots across multiple quantum processing units (QPUs), in a unified execution strategy. We compare different policies to determine the number of shots for which each fragment should be executed on each QPU. Through 107 000+ experiments on simulated NISQ devices, we assess how circuit size, shot allocation, and QPU availability affect execution times and error rates. Our findings indicate that combining circuit-cutting and shotwise distribution provides a useful tradeoff of execution times and error rates, while featuring high-qubit quantum computations as well as increased resilience and adaptiveness.","PeriodicalId":100644,"journal":{"name":"IEEE Transactions on Quantum Engineering","volume":"7 ","pages":"1-14"},"PeriodicalIF":4.6,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11477850","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147696681","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Measurement-Informed Safe Reinforcement Learning for Quantum Battery Charging via Harmonic-Syndrome Diagnostics and BMS Constraints","authors":"Sangkeum Lee;Beomdo Park;Junseong Park;Hyeonseok Jang;Hoon Jeong;Taewook Heo","doi":"10.1109/TQE.2026.3670136","DOIUrl":"https://doi.org/10.1109/TQE.2026.3670136","url":null,"abstract":"Quantum batteries promise ultrafast energy storage but are highly sensitive to noise, drift, and hardware constraints, making safe high-performance charging a central challenge for noisy intermediate-scale quantum devices. We propose a measurement-informed safe control framework that couples harmonic-spectrum-based syndrome diagnostics—<inline-formula><tex-math>$H_{2}/H_{1}$</tex-math></inline-formula>, <inline-formula><tex-math>$H_{3}/H_{1}$</tex-math></inline-formula>, and frequency drift—with a battery management system (BMS)-constrained curriculum reinforcement learning (RL) policy. Spectral features are compressed into a three-level syndrome code (<inline-formula><tex-math>$sin lbrace 0,1,2rbrace$</tex-math></inline-formula>) that serves as a real-time hardware risk proxy for the controller. Our digital-twin simulator incorporates <inline-formula><tex-math>$T_{1}/T_phi$</tex-math></inline-formula> relaxation, crosstalk, collective effects, and terminal-voltage dynamics, while safety risks are explicitly encoded as BMS-related penalties (state-of-health, voltage limits, and high-risk operation ratio) in the RL reward. Across staged curricula of increasing system complexity, the learned policy empirically traces a strictly improved Pareto frontier between final ergotropy and high-risk ratio compared to baseline and threshold-grid control strategies, with gains confirmed by multiseed statistical confidence intervals. To support near-term deployment, we position the current work as a digital-twin stage and outline a concrete simulation-to-real protocol: fix receiver-operating-characteristic-calibrated thresholds, retune <inline-formula><tex-math>$(tau ^{w},tau ^{h})$</tex-math></inline-formula> on a small hardware calibration split, and validate a one-step voltage shield. We further demonstrate the framework on a benchtop transmon setup with <inline-formula><tex-math>$N=1$</tex-math></inline-formula>–2, reporting shield trigger/violation rates, sim-to-real drift of spectral features Kullback–Leibler divergence/earth mover's distance (KL)/(EMD), and an end-to-end latency within 20 <inline-formula><tex-math>$mathrm{mu }$</tex-math></inline-formula> <inline-formula><tex-math>$mathrm{s}$</tex-math></inline-formula>, indicating that harmonic-syndrome-informed safe RL is a viable route toward practical quantum battery charging control.","PeriodicalId":100644,"journal":{"name":"IEEE Transactions on Quantum Engineering","volume":"7 ","pages":"1-15"},"PeriodicalIF":4.6,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11419848","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147665339","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Parameter Analysis and Optimization of Layer Fidelity for Quantum Processor Benchmarking at Scale","authors":"Maria Jose Lozano Palacio;Hasan Nayfeh;Matthew Ware;David C. McKay","doi":"10.1109/TQE.2026.3668098","DOIUrl":"https://doi.org/10.1109/TQE.2026.3668098","url":null,"abstract":"With the continued scaling of quantum processors, holistic benchmarks are essential for extensively evaluating device performance. Layer fidelity is a benchmark well-suited to assessing processor performance at scale. Key advantages of this benchmark include its natural alignment with randomized benchmarking (RB) procedures, crosstalk awareness, fast measurements over large numbers of qubits, high signal-to-noise ratio, and fine-grained information [Mckay et al. (2023)]. In this work, we extend the analysis of the original layer fidelity manuscript to optimize parameters of the benchmark and extract deeper insights of its application. We present a robust protocol for identifying optimal qubit chains of arbitrary length <inline-formula><tex-math>$N$</tex-math></inline-formula>, demonstrating that our method yields error per layered gate values <inline-formula><tex-math>$40%-70 %$</tex-math></inline-formula> lower than randomly selected chains for <inline-formula><tex-math>$N=100$</tex-math></inline-formula> qubits. We further establish layer fidelity as an effective performance monitoring tool, capturing both edge-localized and device-wide degradation by tracking optimal chains of length 50 and 100, and fixed chains of length 100. In addition, we refine error analysis by proposing parameter bounds on the number of randomizations and Clifford lengths used in direct RB fits, minimizing fit uncertainties. Finally, we use layer fidelity to analyze the impact of varying gate durations on layered two-qubit errors, showing that prolonged gate times leading to idling times significantly increase these quantities. These findings extend the applicability of the layer fidelity benchmark and provide practical guidelines for optimizing quantum processor evaluations.","PeriodicalId":100644,"journal":{"name":"IEEE Transactions on Quantum Engineering","volume":"7 ","pages":"1-10"},"PeriodicalIF":4.6,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11414205","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147557958","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Low Noise Signal Read-Out Circuit for Integrated Quantum Diamond Magnetometers","authors":"Zhenlin Zhang;Wenzhe Zhang;Enrui Zhang;Xi Qin","doi":"10.1109/TQE.2026.3667338","DOIUrl":"https://doi.org/10.1109/TQE.2026.3667338","url":null,"abstract":"A customized low-noise signal read-out circuit, which is designed for the implementation of the integrated low power consumption quantum magnetometers based on nitrogen-vacancy centers in diamond, is reported in this article. As the circuit has a 3.7 pA/Hz^1/2 low-input noise which is superior to the latest studies, the integrated quantum diamond magnetometer can achieve a subnanotesla magnetic sensitivity with a low laser power of 70 mW. The circuit is designed with a compact 9.6 × 3.7-cm printed-circuit board, and has been applied to implement the integrated quantum diamond magnetometer. The contributors of the signal noise have been analyzed in this article, and an optimized low noise amplifier circuit design has been obtained. The circuit is featured by the performance in low noise, and the experimental results prove that the circuit has a considerable advantage in signal read out for the magnetometer with a low laser power. This study has a bright future to be applied in the practical application that requires low noise signal read-out functions.","PeriodicalId":100644,"journal":{"name":"IEEE Transactions on Quantum Engineering","volume":"7 ","pages":"1-11"},"PeriodicalIF":4.6,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11408341","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147557960","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}