Advanced Quantum Technologies最新文献

Dynamic Phase Enabled Topological Mode Steering in Composite Su‐Schrieffer–Heeger Waveguide Arrays 复合 Su-Schrieffer-Heeger 波导阵列中的动态相位拓扑模式转向

Advanced Quantum Technologies Pub Date : 2024-09-07 DOI: 10.1002/qute.202400390

Min Tang, Chi Pang, Christian N. Saggau, Haiyun Dong, Ching Hua Lee, Ronny Thomale, Sebastian Klembt, Ion Cosma Fulga, Jeroen van den Brink, Yana Vaynzof, Oliver G. Schmidt, Jiawei Wang, Libo Ma

引用次数: 0

Variational Quantum Algorithm‐Preserving Feasible Space for Solving the Uncapacitated Facility Location Problem 解决无障碍设施位置问题的变式量子算法--保留可行空间

Advanced Quantum Technologies Pub Date : 2024-09-02 DOI: 10.1002/qute.202400201

Sha‐Sha Wang, Hai‐Ling Liu, Yong‐Mei Li, Fei Gao, Su‐Juan Qin, Qiao‐Yan Wen

{"title":"Variational Quantum Algorithm‐Preserving Feasible Space for Solving the Uncapacitated Facility Location Problem","authors":"Sha‐Sha Wang, Hai‐Ling Liu, Yong‐Mei Li, Fei Gao, Su‐Juan Qin, Qiao‐Yan Wen","doi":"10.1002/qute.202400201","DOIUrl":"https://doi.org/10.1002/qute.202400201","url":null,"abstract":"The Quantum Alternating Operator Ansatz (QAOA+) is one of the Variational Quantum Algorithm (VQA) specifically developed to tackle combinatorial optimization problems by exploring the feasible space in search of a target solution. For the Constrained Binary Optimization with Unconstrained Variables Problems (CBO‐UVPs), the mixed operators in the QAOA+ circuit are applied to the constrained variables, while the single‐qubit rotating gates operate on the unconstrained variables. The expressibility of this circuit is limited by the shortage of two‐qubit gates and the parameter sharing in the single‐qubit rotating gates, which consequently impacts the performance of QAOA+ for solving CBO‐UVPs. Therefore, it is crucial to develop a suitable ansatz for CBO‐UVPs. In this paper, the Variational Quantum Algorithm‐Preserving Feasible Space (VQA‐PFS) ansatz is proposed, exemplified by the Uncapacitated Facility Location Problem (UFLP), that applies mixed operators on constrained variables while employing Hardware‐Efficient Ansatz (HEA) on unconstrained variables. The numerical results demonstrate that VQA‐PFS significantly enhances the probability of success and exhibits faster convergence than QAOA+, Quantum Approximation Optimization Algorithm (QAOA), and HEA. Furthermore, VQA‐PFS reduces the circuit depth dramatically compared to QAOA+ and QAOA. The algorithm is general and instructive in tackling CBO‐UVPs.","PeriodicalId":501028,"journal":{"name":"Advanced Quantum Technologies","volume":"8 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142218910","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Quantum‐Noise‐Driven Generative Diffusion Models 量子噪声驱动的生成扩散模型

Advanced Quantum Technologies Pub Date : 2024-07-15 DOI: 10.1002/qute.202300401

Marco Parigi, Stefano Martina, Filippo Caruso

{"title":"Quantum‐Noise‐Driven Generative Diffusion Models","authors":"Marco Parigi, Stefano Martina, Filippo Caruso","doi":"10.1002/qute.202300401","DOIUrl":"https://doi.org/10.1002/qute.202300401","url":null,"abstract":"Generative models realized with Machine Learning (ML) techniques are powerful tools to infer complex and unknown data distributions from a finite number of training samples in order to produce new synthetic data. Diffusion Models (DMs) are an emerging framework that have recently overcome Generative Adversarial Networks (GANs) in creating high‐quality images. Here, is proposed and discussed the quantum generalization of DMs, i.e., three Quantum‐Noise‐Driven Generative Diffusion Models (QNDGDMs) that could be experimentally tested on real quantum systems. The idea is to harness unique quantum features, in particular the non‐trivial interplay among coherence, entanglement, and noise that the currently available noisy quantum processors do unavoidably suffer from, in order to overcome the main computational burdens of classical diffusion models during inference. Hence, the suggestion is to exploit quantum noise not as an issue to be detected and solved but instead as a beneficial key ingredient to generate complex probability distributions from which a quantum processor might sample more efficiently than a classical one. Three examples of the numerical simulations are also included for the proposed approaches. The results are expected to pave the way for new quantum‐inspired or quantum‐based generative diffusion algorithms addressing tasks as data generation with widespread real‐world applications.","PeriodicalId":501028,"journal":{"name":"Advanced Quantum Technologies","volume":"37 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141718870","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Nuclear Physics in the Era of Quantum Computing and Quantum Machine Learning 量子计算和量子机器学习时代的核物理

Advanced Quantum Technologies Pub Date : 2024-05-03 DOI: 10.1002/qute.202300219

José‐Enrique García‐Ramos, Álvaro Sáiz, José M. Arias, Lucas Lamata, Pedro Pérez‐Fernández

引用次数: 0

Machine Learning for Maximizing the Memristivity of Single and Coupled Quantum Memristors 通过机器学习最大化单个和耦合量子晶体记忆器的记忆性

Advanced Quantum Technologies Pub Date : 2024-04-15 DOI: 10.1002/qute.202300294

Carlos Hernani‐Morales, Gabriel Alvarado, Francisco Albarrán‐Arriagada, Yolanda Vives‐Gilabert, Enrique Solano, José D. Martín‐Guerrero

引用次数: 0

Statistical Complexity of Quantum Learning 量子学习的统计复杂性

Advanced Quantum Technologies Pub Date : 2024-04-15 DOI: 10.1002/qute.202300311

Leonardo Banchi, Jason Luke Pereira, Sharu Theresa Jose, Osvaldo Simeone

{"title":"Statistical Complexity of Quantum Learning","authors":"Leonardo Banchi, Jason Luke Pereira, Sharu Theresa Jose, Osvaldo Simeone","doi":"10.1002/qute.202300311","DOIUrl":"https://doi.org/10.1002/qute.202300311","url":null,"abstract":"Learning problems involve settings in which an algorithm has to make decisions based on data, and possibly side information such as expert knowledge. This study has two main goals. First, it reviews and generalizes different results on the data and model complexity of quantum learning, where the data and/or the algorithm can be quantum, focusing on information‐theoretic techniques. Second, it introduces the notion of copy complexity, which quantifies the number of copies of a quantum state required to achieve a target accuracy level. Copy complexity arises from the destructive nature of quantum measurements, which irreversibly alter the state to be processed, limiting the information that can be extracted about quantum data. As a result, empirical risk minimization is generally inapplicable. The paper presents novel results on the copy complexity for both training and testing. To make the paper self‐contained and approachable by different research communities, an extensive background material is provided on classical results from statistical learning theory, as well as on the distinguishability of quantum states. Throughout, the differences between quantum and classical learning are highlighted by addressing both supervised and unsupervised learning, and extensive pointers are provided to the literature.","PeriodicalId":501028,"journal":{"name":"Advanced Quantum Technologies","volume":"96 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140595778","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Toward Useful Quantum Kernels 实现有用的量子内核

Advanced Quantum Technologies Pub Date : 2024-02-17 DOI: 10.1002/qute.202300298

Massimiliano Incudini, Francesco Martini, Alessandra Di Pierro

引用次数: 0

Reference‐Frame‐Independent Mode‐Pairing Quantum Key Distribution with Advantage Distillation 与参考框架无关的模式配对量子密钥分发与优势蒸馏

Advanced Quantum Technologies Pub Date : 2024-02-05 DOI: 10.1002/qute.202300387

Yuemei Li, Zhongqi Sun, Xinhe Liu, Zhenhua Li, Jiaao Li, Haoyang Wang, Kaiyi Shi, Chang Liu, Haiqiang Ma

{"title":"Reference‐Frame‐Independent Mode‐Pairing Quantum Key Distribution with Advantage Distillation","authors":"Yuemei Li, Zhongqi Sun, Xinhe Liu, Zhenhua Li, Jiaao Li, Haoyang Wang, Kaiyi Shi, Chang Liu, Haiqiang Ma","doi":"10.1002/qute.202300387","DOIUrl":"https://doi.org/10.1002/qute.202300387","url":null,"abstract":"The coordination between distance and the secure key rate is one of the main challenges in the practical application of quantum key distribution (QKD). Mode‐pairing quantum key distribution is one of the schemes that can surpass the secret key capacity for repeaterless QKD. However, the protocol utilizes phase to encode the information, which leads to the problem of active stabilization in the interferometer. In this paper, a reference‐frame‐independent mode‐pairing quantum key distribution (RFI‐MP‐QKD) is proposed as an effective scheme to solve this problem. Moreover, the performance of the RFI‐MP‐QKD protocol is improved by applying the Advantage Distillation (AD) method in data post‐processing, which separates the highly correlated raw key bits from the weakly correlated information. The simulation results show that the secure key rate of RFI‐MP‐QKD has almost no degradation for reference frame deviation angles of . Compared to RFI‐MP‐QKD without AD method, the AD method decreases the quantum bit error rate from 0.04 to 0.012 and increases the maximum transmission distance from 406 to 450 km. The scheme proposed is expected to facilitate the practical implementation of RFI‐MP‐QKD, especially in cases of concerning reference frame alignment and high channel loss.","PeriodicalId":501028,"journal":{"name":"Advanced Quantum Technologies","volume":"44 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139866010","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Quantum Metrology Assisted by Machine Learning 机器学习辅助量子计量学

Advanced Quantum Technologies Pub Date : 2024-01-24 DOI: 10.1002/qute.202300329

Jiahao Huang, Min Zhuang, Jungeng Zhou, Yi Shen, Chaohong Lee

引用次数: 0

Broadband Spectroscopy and Interferometry with Undetected Photons at Strong Parametric Amplification 在强参量放大条件下使用未检测到的光子进行宽带光谱学和干涉测量

Advanced Quantum Technologies Pub Date : 2023-12-24 DOI: 10.1002/qute.202300299

Kazuki Hashimoto, Dmitri B. Horoshko, Maria V. Chekhova

{"title":"Broadband Spectroscopy and Interferometry with Undetected Photons at Strong Parametric Amplification","authors":"Kazuki Hashimoto, Dmitri B. Horoshko, Maria V. Chekhova","doi":"10.1002/qute.202300299","DOIUrl":"https://doi.org/10.1002/qute.202300299","url":null,"abstract":"Nonlinear interferometry with entangled photons allows for characterizing a sample without detecting the photons interacting with it. This method enables highly sensitive optical sensing in the wavelength regions where efficient detectors are still under development. Recently, nonlinear interferometry has been applied to interferometric measurement techniques with broadband light sources, such as Fourier-transform infrared spectroscopy and infrared optical coherence tomography. However, they have been demonstrated with photon pairs produced through spontaneous parametric down-conversion (SPDC) at a low parametric gain, where the average number of photons per mode is much smaller than one. The regime of high-gain SPDC offers several important advantages, such as the amplification of light after its interaction with the sample and a large number of photons per mode at the interferometer output. This work presents broadband spectroscopy and high-resolution optical coherence tomography with undetected photons generated via high-gain SPDC in an aperiodically poled lithium niobate crystal. To prove the principle, reflective Fourier-transform near-infrared spectroscopy with a spectral bandwidth of 17 THz and optical coherence tomography with an axial resolution of 11 µm are demonstrated.","PeriodicalId":501028,"journal":{"name":"Advanced Quantum Technologies","volume":"98 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139035157","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0