Mattia Sabatini, Tommaso Bertapelle, Paolo Villoresi, Giuseppe Vallone, Marco Avesani
{"title":"Hybrid Encoder for Discrete and Continuous Variable QKD","authors":"Mattia Sabatini, Tommaso Bertapelle, Paolo Villoresi, Giuseppe Vallone, Marco Avesani","doi":"10.1002/qute.202400522","DOIUrl":"10.1002/qute.202400522","url":null,"abstract":"<p>Quantum key distribution (QKD) is emerging as a cutting-edge application of quantum technology, gradually integrating into the industrial landscape. Many protocols employing discrete or continuous variables have been developed over time. Whereas the firsts usually excel in covering longer distances, the seconds are typically superior in producing higher secret key rates at short distances. Present efforts aim to create systems that can exploit both these strengths, foreseeing the future challenge regarding the realization of a quantum network consisting of multiple and heterogeneous interconnected nodes. Within such a context, a possible solution is systems able to efficiently toggle between discrete and continuous variable working modes with hybrid quantum state encoders. Therefore, this study presents a new hybrid encoder based on an iPOGNAC modulator, ensuring compatibility with Discrete-Variable (DV) and Continuous-Variable (CV) QKD systems that can be assembled entirely with commercial-off-the-shelf components. The proposed scheme is the first supporting DV polarization protocols, thus making it an appealing candidate for space nodes of a future quantum network, given that polarization-based protocols are well suited for space links.</p>","PeriodicalId":72073,"journal":{"name":"Advanced quantum technologies","volume":"8 8","pages":""},"PeriodicalIF":4.3,"publicationDate":"2025-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://advanced.onlinelibrary.wiley.com/doi/epdf/10.1002/qute.202400522","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144833180","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":"Difference of Convex Algorithm for Warm-Start Quantum Approximate Optimization Algorithm","authors":"Phuc Nguyen Ha Huy, Viet Hung Nguyen, Anh Son Ta","doi":"10.1002/qute.202400253","DOIUrl":"10.1002/qute.202400253","url":null,"abstract":"<p>The Quantum Approximate Optimization Algorithm (QAOA) stands as a hybrid classical-quantum algorithm utilized for addressing combinatorial optimization challenges. Central to its effectiveness is the initial mixer, which is responsible for instigating the optimization process by generating the starting state. However, conventional QAOA implementations often assign equal probabilities to all solutions at the outset, potentially resulting in suboptimal performance when tackling complex combinatorial optimization problems. In this study, a novel enhancement is proposed to the QAOA, leveraging the Difference of Convex Algorithm (DCA). This method aims to refine QAOA's performance by facilitating the discovery of optimal parameters through a continuous warm-start approach, as originally introduced by Egger et al. Through experimentation utilizing datasets from prior studies focusing on the weighted maximum cut problem, the efficacy of our proposed method is evaluated. Comparative analysis against existing methodologies reveals a significant improvement in the approximate ratio achieved by our approach.</p>","PeriodicalId":72073,"journal":{"name":"Advanced quantum technologies","volume":"8 7","pages":""},"PeriodicalIF":4.3,"publicationDate":"2025-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144635261","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}
{"title":"Extreme Plasmons","authors":"Aakash A. Sahai","doi":"10.1002/qute.202500037","DOIUrl":"10.1002/qute.202500037","url":null,"abstract":"<p>Nanometric confinement of electromagnetic energy has become possible using plasmons that are quasiparticles constituted by collective oscillations of conduction band electron gas. Here, nonperturbative plasmons are modeled having large-amplitude oscillations that approach the extreme limit set by breakdown in characteristic coherence of collective quantum electron gas oscillations. In contrast, conventional plasmons are small-amplitude oscillations. Controlled excitation of such extreme plasmons modeled here has become realizable now with trends in ultrashort particle bunch compression. Extreme plasmons unleash unparalleled possibilities including access to unprecedented Petavolts per meter fields. In this work, an analytical model of this class of plasmons is developed based on quantum kinetic framework. A controllable extreme plasmon, the surface crunch-in plasmon, is modeled here using a modified independent electron approximation. In this model, various quantum effects such as suppression of electron–electron interactions due to non-classical equilibrium states at trajectory extrema are incorporated by introducing a quantum factor, <span></span><math>\u0000 <semantics>\u0000 <msub>\u0000 <mi>F</mi>\u0000 <mi>Q</mi>\u0000 </msub>\u0000 <annotation>$mathcal {F}_Q$</annotation>\u0000 </semantics></math>.</p>","PeriodicalId":72073,"journal":{"name":"Advanced quantum technologies","volume":"8 6","pages":""},"PeriodicalIF":4.3,"publicationDate":"2025-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144273423","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}
Dong-Xuan Li, Tao Zhao, Min An, Meng-Yao Yang, Yun-Long Wang, Fei-Ran Wang, Ze-Hong Chang, Pei Zhang
{"title":"Performance Analysis of High-Dimensional Orbital Angular Momentum Entanglement Distribution on Unmanned Aerial Vehicle Platforms","authors":"Dong-Xuan Li, Tao Zhao, Min An, Meng-Yao Yang, Yun-Long Wang, Fei-Ran Wang, Ze-Hong Chang, Pei Zhang","doi":"10.1002/qute.202500202","DOIUrl":"10.1002/qute.202500202","url":null,"abstract":"<p>Unmanned aerial vehicles (UAVs) emerge as a flexible and cost-effective solution for mobile quantum communication, showing significant potential. Despite the challenges posed by environmental noise in free-space channels for efficient entanglement distribution, the noise-resistant properties of high-dimensional (HD) quantum states provide a promising solution to these issues. This work establishes a HD orbital angular momentum (OAM) entanglement distribution model on a UAV platform, systematically analyzing the effects of environmental conditions and platform parameters. Based on this model, a HD subspace coding protocol is investigated, with optimized subspace dimension and mode sets to enhance the performance. Furthermore, the use of the source modulation technique can significantly improve the key rate and transmission distance of the system. This work holds important implications for expanding UAV platform coverage, improving adaptability to environmental factors, and advancing the development of heterogeneous quantum networks.</p>","PeriodicalId":72073,"journal":{"name":"Advanced quantum technologies","volume":"8 8","pages":""},"PeriodicalIF":4.3,"publicationDate":"2025-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144833337","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}
Fazilah Nothlawala, Chané Moodley, Neelan Gounden, Isaac Nape, Andrew Forbes
{"title":"Quantum Ghost Imaging by Sparse Spatial Mode Reconstruction (Adv. Quantum Technol. 5/2025)","authors":"Fazilah Nothlawala, Chané Moodley, Neelan Gounden, Isaac Nape, Andrew Forbes","doi":"10.1002/qute.202570010","DOIUrl":"10.1002/qute.202570010","url":null,"abstract":"<p>In article number 2400577, Andrew Forbes and co-workers achieved high resolution, time-efficient quantum ghost imaging by leveraging structured light and spatial modes as a basis for imaging, paving the way for breakthroughs in low-light, biological science applications. The cover represents an object — the ghost — whose image is revealed through spatial mode projections.\u0000\u0000 <figure>\u0000 <div><picture>\u0000 <source></source></picture><p></p>\u0000 </div>\u0000 </figure></p>","PeriodicalId":72073,"journal":{"name":"Advanced quantum technologies","volume":"8 5","pages":""},"PeriodicalIF":4.3,"publicationDate":"2025-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/qute.202570010","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143944802","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-Enhanced Computing for the Antiferromagnetic \u0000 \u0000 \u0000 \u0000 J\u0000 1\u0000 \u0000 −\u0000 \u0000 J\u0000 2\u0000 \u0000 \u0000 $J_1-J_2$\u0000 Heisenberg Model","authors":"Yuheng Guo, Feixiang Guo, Bozitao Zhong, Xingyu Chen, Xijun Yuan, Xian-Min Jin, Hao Tang","doi":"10.1002/qute.202300240","DOIUrl":"10.1002/qute.202300240","url":null,"abstract":"<p>The variational quantum eigensolver (VQE) has recently been demonstrated for solving the challenging Heisenberg Antiferromagnet (HAFM) models. Apart from the ground state energy, many important issues such as excited states and general frustration for HAFM are worth investigating, which have only been partially solved by classical methods and rarely by quantum approaches. Here, VQE is applied to the GPU quantum simulator to calculate the excited states of a <span></span><math>\u0000 <semantics>\u0000 <msub>\u0000 <mi>J</mi>\u0000 <mn>1</mn>\u0000 </msub>\u0000 <annotation>$J_1$</annotation>\u0000 </semantics></math>-<span></span><math>\u0000 <semantics>\u0000 <msub>\u0000 <mi>J</mi>\u0000 <mn>2</mn>\u0000 </msub>\u0000 <annotation>$J_2$</annotation>\u0000 </semantics></math> HAFM model on both square and kagome lattices. The invariant subspace property is analyzed during the process of VQE and hence the even-fold degeneracy is explained that is difficult to interpret using classical methods. Moreover, the VQE results for different <span></span><math>\u0000 <semantics>\u0000 <msub>\u0000 <mi>J</mi>\u0000 <mn>2</mn>\u0000 </msub>\u0000 <annotation>$J_2$</annotation>\u0000 </semantics></math>/<span></span><math>\u0000 <semantics>\u0000 <msub>\u0000 <mi>J</mi>\u0000 <mn>1</mn>\u0000 </msub>\u0000 <annotation>$J_1$</annotation>\u0000 </semantics></math> ratios show a more efficient way to observe the phase transition in this model. The advantageous properties of VQE are demonstrated for exploring fundamental physical mechanisms.</p>","PeriodicalId":72073,"journal":{"name":"Advanced quantum technologies","volume":"8 7","pages":""},"PeriodicalIF":4.3,"publicationDate":"2025-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144635201","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}