Quantum Information Processing最新文献_第3页

QryptGen: a quantum GAN-based image encryption key generator using chaotic data distributions

IF 2.2 3区物理与天体物理

Quantum Information Processing Pub Date : 2025-05-14 DOI: 10.1007/s11128-025-04750-5

Gilsang Ahn, Seokhie Hong

{"title":"QryptGen: a quantum GAN-based image encryption key generator using chaotic data distributions","authors":"Gilsang Ahn, Seokhie Hong","doi":"10.1007/s11128-025-04750-5","DOIUrl":"10.1007/s11128-025-04750-5","url":null,"abstract":"<div><p>The emergence of generative adversarial networks (GANs) has led to tremendous advancements in deep learning-based AI for image generation. While many researchers have used GANs to generate human faces and numeric images, others have applied them to learn and generate images from data distributions created by less distinct, chaotic systems. These chaotically generated images can serve as encryption keys for simple image encryption methods, potentially useful in military applications where data security is crucial, or in hospitals handling sensitive images like X-rays, CTs, MRIs, and physical photographs. Meanwhile, quantum GANs are still in their early research stages, primarily learning from distinct images like those in the MNIST or Fashion MNIST datasets. In this paper, we demonstrate that quantum machine learning models, specifically QGANs, can also learn from non-descript chaotic data distributions. We propose QryptGen (quantum crypt generator), which produces 28 <span>(times )</span> 28 pixel grayscale image encryption keys. We show that encryption keys generated through quantum machine learning techniques can achieve a level of security comparable to those generated by classical deep learning techniques, thus confirming the potential of quantum machine learning to contribute broadly beyond just image encryption. Specifically, our study employs patch QGAN with a minimal number of qubits to maximize quantum advantages on NISQ devices, enhancing practicality.</p></div>","PeriodicalId":746,"journal":{"name":"Quantum Information Processing","volume":"24 5","pages":""},"PeriodicalIF":2.2,"publicationDate":"2025-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143944245","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Nonreciprocal multipartite entanglement induced by Kerr nonlinearity

IF 2.2 3区物理与天体物理

Quantum Information Processing Pub Date : 2025-05-14 DOI: 10.1007/s11128-025-04757-y

Rizwan Ahmed, Hazrat Ali, Aamir Shehzad, S. K. Singh, Amjad Sohail, Marcos César de Oliveira

{"title":"Nonreciprocal multipartite entanglement induced by Kerr nonlinearity","authors":"Rizwan Ahmed, Hazrat Ali, Aamir Shehzad, S. K. Singh, Amjad Sohail, Marcos César de Oliveira","doi":"10.1007/s11128-025-04757-y","DOIUrl":"10.1007/s11128-025-04757-y","url":null,"abstract":"<div><p>We present a theoretical scheme for the generation of nonreciprocal multipartite entanglement in a two-mode cavity magnomechanical system, consisting of two cross-microwave cavities having a yttrium-iron-garnet (YIG) sphere, which is coupled through magnetic dipole interaction. Our results show that the self-Kerr effect of magnon (which depends on the intensity of the magnons) can significantly enhance multipartite entanglement, which turns out to be nonreciprocal when the magnetic field is tuned along different crystallographic axes. This is due to the frequency shift on the magnons (YIG sphere), which depends upon the magnetic field’s direction. Interestingly, the degree of nonreciprocity of bipartite entanglements depends upon a careful optimal choice of system parameters like normalized cavity detunings, bipartite nonlinear index <span>(Delta E_{K})</span>, self-Kerr coefficient, and effective magnomechanical coupling rate <i>G</i>. In addition to bipartite entanglement, we also present the idea of a bidirectional contrast ratio, which quantifies the nonreciprocity in tripartite entanglements. Our present theoretical proposal for nonreciprocity in multipartite entanglement may find applications in diverse engineering nonreciprocal devices. Furthermore, the current scheme might enhance the functionality of magnonic devices, and improve sensing capabilities.</p></div>","PeriodicalId":746,"journal":{"name":"Quantum Information Processing","volume":"24 5","pages":""},"PeriodicalIF":2.2,"publicationDate":"2025-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143944378","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Local distinguishability of lattice states in arbitrary dimensional system 任意维系统中晶格态的局部可分辨性

IF 2.2 3区物理与天体物理

Quantum Information Processing Pub Date : 2025-05-13 DOI: 10.1007/s11128-025-04755-0

Qi-Yue Zhao, Ying-Hui Yang, Shi-Jiao Geng, Pei-Ying Chen

引用次数: 0

Realignment-based separability criteria and lower bounds of entanglement 基于重组的可分性准则和纠缠的下界

IF 2.2 3区物理与天体物理

Quantum Information Processing Pub Date : 2025-05-13 DOI: 10.1007/s11128-025-04758-x

Yu Lu, Zhong-Xi Shen, Shao-Ming Fei, Zhi-Xi Wang

引用次数: 0

An efficient ESOP minimization-based quantum image encryption scheme using chaotic quantum substitution and permutation boxes 基于混沌量子替换和置换盒的高效ESOP最小化量子图像加密方案

IF 2.2 3区物理与天体物理

Quantum Information Processing Pub Date : 2025-05-13 DOI: 10.1007/s11128-025-04752-3

Manish Kumar, Pranav P. Jagathpathy, Mayank Sharma

引用次数: 0

A multi-channel voltage driving circuit with adjustable and independent RF amplitude 一种多通道电压驱动电路，具有可调和独立的射频振幅

IF 2.2 3区物理与天体物理

Quantum Information Processing Pub Date : 2025-05-12 DOI: 10.1007/s11128-025-04742-5

Qikun Wang, Zhao Wang, Tianyang Hu, Jun Mai, Wei Ma, Xu Wang

{"title":"A multi-channel voltage driving circuit with adjustable and independent RF amplitude","authors":"Qikun Wang, Zhao Wang, Tianyang Hu, Jun Mai, Wei Ma, Xu Wang","doi":"10.1007/s11128-025-04742-5","DOIUrl":"10.1007/s11128-025-04742-5","url":null,"abstract":"<div><p>A helical resonator with a certain resonant frequency and a high-quality factor (Q-factor) is critical for an ion trap system, which results in a larger trap depth, longer trap time, and lower radiofrequency (RF) noise. Here, we propose a new method for driving amplitude-adjustable multiple RF ion trap electrodes. By dividing the output of the helical resonator into multiple circuits and simultaneously driving the ion trap multi-RF electrodes, each circuit is composed of capacitors connected in series, and the desired amplitude is applied to the ion trap RF electrodes using capacitive voltage dividing. In contrast, the capacitance of the multi-RF capacitors connected in series is determined by three constraints. Different voltages for each circuit are realized while keeping the phase consistent. Both the circuit simulation and analog simulations have been adopted to demonstrate the validity of proposed method, which has significant potential to be applied in the ion trap structure of multiplexed RF electrodes and contributing to the realization of ion trap-based quantum information processing.</p></div>","PeriodicalId":746,"journal":{"name":"Quantum Information Processing","volume":"24 5","pages":""},"PeriodicalIF":2.2,"publicationDate":"2025-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143938637","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Multi-player quantum data hiding by nonlocal quantum state ensembles 非局域量子态集成的多玩家量子数据隐藏

IF 2.2 3区物理与天体物理

Quantum Information Processing Pub Date : 2025-05-12 DOI: 10.1007/s11128-025-04764-z

Donghoon Ha, Jeong San Kim

引用次数: 0

Investigating the impact of qubit velocity on quantum synchronization dynamics 研究量子比特速度对量子同步动力学的影响

IF 2.2 3区物理与天体物理

Quantum Information Processing Pub Date : 2025-05-10 DOI: 10.1007/s11128-025-04748-z

Amir Hossein Houshmand Almani, Alireza Nourmandipour, Ali Mortezapour

引用次数: 0

Transfer learning of optimal QAOA parameters in combinatorial optimization 组合优化中最优QAOA参数的迁移学习

IF 2.2 3区物理与天体物理

Quantum Information Processing Pub Date : 2025-05-09 DOI: 10.1007/s11128-025-04743-4

J. A. Montañez-Barrera, Dennis Willsch, Kristel Michielsen

{"title":"Transfer learning of optimal QAOA parameters in combinatorial optimization","authors":"J. A. Montañez-Barrera, Dennis Willsch, Kristel Michielsen","doi":"10.1007/s11128-025-04743-4","DOIUrl":"10.1007/s11128-025-04743-4","url":null,"abstract":"<div><p>Solving combinatorial optimization problems (COPs) is a promising application of quantum computation, with the quantum approximate optimization algorithm (QAOA) being one of the most studied quantum algorithms for solving them. However, multiple factors make the parameter search of the QAOA a hard optimization problem. In this work, we study transfer learning (TL), a methodology to reuse pre-trained QAOA parameters of one problem instance into different COP instances. This methodology can be used to alleviate the necessity of classical optimization to find good parameters for individual problems. To this end, we select small cases of the traveling salesman problem (TSP), the bin packing problem (BPP), the knapsack problem (KP), the weighted maximum cut (MaxCut) problem, the maximal independent set (MIS) problem, and portfolio optimization (PO), and find optimal <span>(beta )</span> and <span>(gamma )</span> parameters for <i>p</i> layers. We compare how well the parameters found for one problem adapt to the others. Among the different problems, BPP is the one that produces the best transferable parameters, maintaining the probability of finding the optimal solution above a quadratic speedup over random guessing for problem sizes up to 42 qubits and <span>(p = 10)</span> layers. Using the BPP parameters, we perform experiments on IonQ Harmony and Aria, Rigetti Aspen-M-3, and IBM Brisbane of MIS instances for up to 18 qubits. The results indicate that IonQ Aria yields the best overlap with the ideal probability distribution. Additionally, we show that cross-platform TL is possible using the D-Wave Advantage quantum annealer with the parameters found for BPP. We show an improvement in performance compared to the default protocols for MIS with up to 170 qubits. Our results suggest that there are QAOA parameters that generalize well for different COPs and annealing protocols.</p></div>","PeriodicalId":746,"journal":{"name":"Quantum Information Processing","volume":"24 5","pages":""},"PeriodicalIF":2.2,"publicationDate":"2025-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143929894","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Quantum Zeno effect on genuine tripartite nonlocality and entanglement in quantum dissipative system 量子耗散系统中真三方非定域和纠缠的量子芝诺效应

IF 2.2 3区物理与天体物理

Quantum Information Processing Pub Date : 2025-05-06 DOI: 10.1007/s11128-025-04744-3

Zi-Yu Xiong, Yong-Jun Xiao, Ye-Qi Zhang, Qi-Liang He

引用次数: 0