Shu‐Qian Shen, Xin‐Qi Gao, Rui‐Qi Zhang, Ming Li, Shao‐Ming Fei
Entanglement witnesses are economical tools for the experimental detection of quantum entanglement. Quantum algorithms for entanglement detection have recently attracted considerable attention. Based on block encoding techniques and state preparation methods, the implementation of several types of entanglement witnesses using quantum circuits without quantum state tomography is proposed. Further, explicit quantum circuits for the block encoding of some special matrices are presented.
{"title":"Implementation of Entanglement Witnesses with Quantum Circuits","authors":"Shu‐Qian Shen, Xin‐Qi Gao, Rui‐Qi Zhang, Ming Li, Shao‐Ming Fei","doi":"10.1002/qute.202400272","DOIUrl":"https://doi.org/10.1002/qute.202400272","url":null,"abstract":"Entanglement witnesses are economical tools for the experimental detection of quantum entanglement. Quantum algorithms for entanglement detection have recently attracted considerable attention. Based on block encoding techniques and state preparation methods, the implementation of several types of entanglement witnesses using quantum circuits without quantum state tomography is proposed. Further, explicit quantum circuits for the block encoding of some special matrices are presented.","PeriodicalId":501028,"journal":{"name":"Advanced Quantum Technologies","volume":"77 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142262890","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}
A theoretical scheme to enhance the sensitivity of a quantum fiber‐optical gyroscope (QFOG) via a non‐Gaussian‐state probe based on quadrature measurements of the optical field is proposed. The non‐Gaussian‐state probe utilizes the product state comprising a photon‐added coherent state (PACS) with photon excitations and a coherent state (CS). The sensitivity of the QFOG is studied and it is found that it can be significantly enhanced through increasing the photon excitations in the PACS probe. The influence of photon loss on the performance of QFOG is investigated and it is demonstrated that the PACS probe exhibits robust resistance to photon loss. Furthermore, the performance of the QFOG using the PACS probe against two Gaussian‐state probes: the CS probe and the squeezed state (SS) probe is compared and it is indicated that the PACS probe offers a significant advantage in terms of sensitivity, regardless of photon loss, under the constraint condition of the same total number of input photons. Particularly, it is found that the sensitivity of the PACS probe can be three orders of magnitude higher than that of two Gaussian‐state probes for certain values of the measured parameter. The capabilities of the non‐Gaussian state probe in enhancing the sensitivity and resisting photon loss can have a wide‐ranging impact on future high‐performance QFOGs.
{"title":"Enhancing the Sensitivity of Quantum Fiber‐Optical Gyroscope via a Non‐Gaussian‐State Probe","authors":"Wen‐Xun Zhang, Rui Zhang, Yunlan Zuo, Le‐Man Kuang","doi":"10.1002/qute.202400270","DOIUrl":"https://doi.org/10.1002/qute.202400270","url":null,"abstract":"A theoretical scheme to enhance the sensitivity of a quantum fiber‐optical gyroscope (QFOG) via a non‐Gaussian‐state probe based on quadrature measurements of the optical field is proposed. The non‐Gaussian‐state probe utilizes the product state comprising a photon‐added coherent state (PACS) with photon excitations and a coherent state (CS). The sensitivity of the QFOG is studied and it is found that it can be significantly enhanced through increasing the photon excitations in the PACS probe. The influence of photon loss on the performance of QFOG is investigated and it is demonstrated that the PACS probe exhibits robust resistance to photon loss. Furthermore, the performance of the QFOG using the PACS probe against two Gaussian‐state probes: the CS probe and the squeezed state (SS) probe is compared and it is indicated that the PACS probe offers a significant advantage in terms of sensitivity, regardless of photon loss, under the constraint condition of the same total number of input photons. Particularly, it is found that the sensitivity of the PACS probe can be three orders of magnitude higher than that of two Gaussian‐state probes for certain values of the measured parameter. The capabilities of the non‐Gaussian state probe in enhancing the sensitivity and resisting photon loss can have a wide‐ranging impact on future high‐performance QFOGs.","PeriodicalId":501028,"journal":{"name":"Advanced Quantum Technologies","volume":"7 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142262889","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}
Low‐dimensional materials with outstanding heat conductivity and elastocaloric effect (eCE) are significant for environmentally friendly and energy‐efficient nano refrigerators. However, most of elastocaloric materials with first/second‐order phase transition suffer from hysteresis loss. Herein, an emerging monolayer is theoretically demonstrated as a promising candidate, which exhibits no hysteresis loss enabled by reversible elastic response, as well as large eCE and high eC strength enabled by quantum effect (QE). Considering the remarkable influence of QE and thermo‐mechanical coupling (TMC) in the monolayer limit, the adiabatic temperature change () is evaluate by incorporating QE and TMC. Molecular dynamics simulation significantly underestimates , whereas method with QE slightly overestimates when compared to method with QE+TMC. At 300 K, of is –(11–42) K under biaxial tensile forces of 26–84 nN. The elastocaloric coefficients are –(0.3–0.9) , comparable to that of armchair carbon nanotubes. A large eCE ( around 15 K under a biaxial tensile load of 35 nN) is also revealed for graphene by incorporating QE and TMC. This study proposes a more comprehensive method for quantitatively predicting eCE in 2D materials by including QE and TMC, offering a theoretical guideline for refrigerating materials in the monolayer limit.
具有出色导热性和弹性热效应（eCE）的低维材料对环保节能的纳米冰箱具有重要意义。然而，大多数具有一阶/二阶相变的弹性材料都存在滞后损失。本文从理论上证明了一种新兴的单层材料是一种很有前途的候选材料，它不仅能通过可逆弹性响应实现无滞后损失，还能通过量子效应（QE）实现大的 eCE 和高的 eC 强度。考虑到 QE 和热机械耦合（TMC）在单层极限中的显著影响，结合 QE 和 TMC 对绝热温度变化（）进行了评估。与 QE+TMC 方法相比，分子动力学模拟明显低估了温度变化，而 QE 方法则略微高估了温度变化。300 K 时，在 26-84 nN 的双轴拉伸力作用下，弹性系数为-(11-42) K。弹性热力系数为-(0.3-0.9)，与扶手碳纳米管的弹性热力系数相当。通过结合 QE 和 TMC，还发现石墨烯具有较大的 eCE（在 35 nN 的双轴拉伸载荷下约为 15 K）。本研究通过加入 QE 和 TMC，提出了一种更全面的方法来定量预测二维材料的 eCE，为单层极限材料的制冷提供了理论指导。
{"title":"Quantum Effect Enables Large Elastocaloric Effect in Monolayer MoSi2N4${rm MoSi}_2{rm N}_4$ and Graphene","authors":"Yan Yin, Weiwei He, Wei Tang, Min Yi","doi":"10.1002/qute.202400391","DOIUrl":"https://doi.org/10.1002/qute.202400391","url":null,"abstract":"Low‐dimensional materials with outstanding heat conductivity and elastocaloric effect (eCE) are significant for environmentally friendly and energy‐efficient nano refrigerators. However, most of elastocaloric materials with first/second‐order phase transition suffer from hysteresis loss. Herein, an emerging monolayer is theoretically demonstrated as a promising candidate, which exhibits no hysteresis loss enabled by reversible elastic response, as well as large eCE and high eC strength enabled by quantum effect (QE). Considering the remarkable influence of QE and thermo‐mechanical coupling (TMC) in the monolayer limit, the adiabatic temperature change () is evaluate by incorporating QE and TMC. Molecular dynamics simulation significantly underestimates , whereas method with QE slightly overestimates when compared to method with QE+TMC. At 300 K, of is –(11–42) K under biaxial tensile forces of 26–84 nN. The elastocaloric coefficients are –(0.3–0.9) , comparable to that of armchair carbon nanotubes. A large eCE ( around 15 K under a biaxial tensile load of 35 nN) is also revealed for graphene by incorporating QE and TMC. This study proposes a more comprehensive method for quantitatively predicting eCE in 2D materials by including QE and TMC, offering a theoretical guideline for refrigerating materials in the monolayer limit.","PeriodicalId":501028,"journal":{"name":"Advanced Quantum Technologies","volume":"7 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142218884","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}
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
Topological boundary states localize at interfaces whenever the interface implies a change of the associated topological invariant encoded in the geometric phase. The generically present dynamic phase, however, which is energy and time‐dependent, is known to be non‐universal, and hence not to intertwine with any topological geometric phase. Using the example of topological zero modes in composite Su‐Schrieffer‐Heeger (c‐SSH) waveguide arrays with a central defect is reported on the selective excitation and transition of topological boundary mode based on dynamic phase‐steered interferences. This work thus provides a new knob for the control and manipulation of topological states in composite photonic devices, indicating promising applications where topological modes and their bandwidth can be jointly controlled by the dynamic phase, geometric phase, and wavelength in on‐chip topological devices.
{"title":"Dynamic Phase Enabled Topological Mode Steering in Composite Su‐Schrieffer–Heeger Waveguide Arrays","authors":"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","doi":"10.1002/qute.202400390","DOIUrl":"https://doi.org/10.1002/qute.202400390","url":null,"abstract":"Topological boundary states localize at interfaces whenever the interface implies a change of the associated topological invariant encoded in the geometric phase. The generically present dynamic phase, however, which is energy and time‐dependent, is known to be non‐universal, and hence not to intertwine with any topological geometric phase. Using the example of topological zero modes in composite Su‐Schrieffer‐Heeger (c‐SSH) waveguide arrays with a central defect is reported on the selective excitation and transition of topological boundary mode based on dynamic phase‐steered interferences. This work thus provides a new knob for the control and manipulation of topological states in composite photonic devices, indicating promising applications where topological modes and their bandwidth can be jointly controlled by the dynamic phase, geometric phase, and wavelength in on‐chip topological devices.","PeriodicalId":501028,"journal":{"name":"Advanced Quantum Technologies","volume":"95 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142218907","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}
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.
{"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}
This perspective gives a tutorial overview of the development of solid‐state quantum emitters over the past three decades, focusing on the key parameters that are used to assess their performance for applications in quantum photonics. Specifically, it covers single‐photon purity and indistinguishability, source brightness, and on‐demand operation. The perspective includes a brief comparison of different material systems and concludes with a discussion of challenges that remain to be solved.
{"title":"Solid‐State Quantum Emitters","authors":"A. Mark Fox","doi":"10.1002/qute.202300390","DOIUrl":"https://doi.org/10.1002/qute.202300390","url":null,"abstract":"This perspective gives a tutorial overview of the development of solid‐state quantum emitters over the past three decades, focusing on the key parameters that are used to assess their performance for applications in quantum photonics. Specifically, it covers single‐photon purity and indistinguishability, source brightness, and on‐demand operation. The perspective includes a brief comparison of different material systems and concludes with a discussion of challenges that remain to be solved.","PeriodicalId":501028,"journal":{"name":"Advanced Quantum Technologies","volume":"25 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141931610","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}
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.
{"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}
Laura Orphal‐Kobin, Cem Güney Torun, Julian M. Bopp, Gregor Pieplow, Tim Schröder
Diamond has emerged as a highly promising platform for quantum network applications. Color centers in diamond fulfill the fundamental requirements for quantum nodes: they constitute optically accessible quantum systems with long‐lived spin qubits. Furthermore, they provide access to a quantum register of electronic and nuclear spin qubits and they mediate entanglement between spins and photons. All these operations require coherent control of the color center's spin state. This review provides a comprehensive overview of the state‐of‐the‐art, challenges, and prospects of such schemes, including high‐fidelity initialization, coherent manipulation, and readout of spin states. Established microwave and optical control techniques are reviewed, and moreover, emerging methods such as cavity‐mediated spin–photon interactions and mechanical control based on spin–phonon interactions are summarized. For different types of color centers, namely, nitrogen–vacancy and group‐IV color centers, distinct challenges persist that are subject of ongoing research. Beyond fundamental coherent spin qubit control techniques, advanced demonstrations in quantum network applications are outlined, for example, the integration of individual color centers for accessing (nuclear) multiqubit registers. Finally, the role of diamond spin qubits in the realization of future quantum information applications is described.
金刚石已成为量子网络应用中极具前景的平台。金刚石中的色彩中心符合量子节点的基本要求：它们构成了具有长寿命自旋量子比特的光学可访问量子系统。此外，它们还可以访问电子和核自旋比特的量子寄存器，并介导自旋和光子之间的纠缠。所有这些操作都需要对色彩中心的自旋状态进行连贯控制。本综述全面概述了此类方案的最新进展、挑战和前景，包括自旋状态的高保真初始化、相干操纵和读出。文章回顾了已有的微波和光学控制技术，还总结了新出现的方法，如空腔介导的自旋-光子相互作用和基于自旋-光子相互作用的机械控制。对于不同类型的颜色中心，即氮空位和第 IV 族颜色中心，仍然存在着不同的挑战，这也是当前研究的主题。除了基本的相干自旋量子比特控制技术外，还概述了量子网络应用中的先进示范，例如整合单个颜色中心以访问（核）多量子比特寄存器。最后，介绍了钻石自旋量子比特在实现未来量子信息应用中的作用。
{"title":"Coherent Microwave, Optical, and Mechanical Quantum Control of Spin Qubits in Diamond","authors":"Laura Orphal‐Kobin, Cem Güney Torun, Julian M. Bopp, Gregor Pieplow, Tim Schröder","doi":"10.1002/qute.202300432","DOIUrl":"https://doi.org/10.1002/qute.202300432","url":null,"abstract":"Diamond has emerged as a highly promising platform for quantum network applications. Color centers in diamond fulfill the fundamental requirements for quantum nodes: they constitute optically accessible quantum systems with long‐lived spin qubits. Furthermore, they provide access to a quantum register of electronic and nuclear spin qubits and they mediate entanglement between spins and photons. All these operations require coherent control of the color center's spin state. This review provides a comprehensive overview of the state‐of‐the‐art, challenges, and prospects of such schemes, including high‐fidelity initialization, coherent manipulation, and readout of spin states. Established microwave and optical control techniques are reviewed, and moreover, emerging methods such as cavity‐mediated spin–photon interactions and mechanical control based on spin–phonon interactions are summarized. For different types of color centers, namely, nitrogen–vacancy and group‐IV color centers, distinct challenges persist that are subject of ongoing research. Beyond fundamental coherent spin qubit control techniques, advanced demonstrations in quantum network applications are outlined, for example, the integration of individual color centers for accessing (nuclear) multiqubit registers. Finally, the role of diamond spin qubits in the realization of future quantum information applications is described.","PeriodicalId":501028,"journal":{"name":"Advanced Quantum Technologies","volume":"37 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141062288","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}
Malwin Xibraku, Martin E. Garcia, Bernd Bauerhenne
To optimize parameters for laser processing of quantum‐technology relevant materials, such as diamond, precise atomistic simulations of the light‐matter interaction on large scales (on the order of atoms) are essential. Classical empirical interatomic potentials are commonly employed for simulating such a large number of atoms, however they fail to accurately capture all relevant effects of light‐matter interaction. Conversely, ab initio methods like Density Functional Theory (DFT) can effectively incorporate quantum properties arising from photon excitations, but their applicability is limited to small systems containing at most approximately atoms. Consequently, bridging the gap between achieving DFT precision and handling millions of atoms necessitates the development of innovative classes of interatomic potentials. In this paper, the construction of a highly accurate interatomic potential for diamond is presented, derived from an extensive dataset of DFT calculations. The parameters of the interatomic potential depend on the electronic temperature (). The findings demonstrate that this newly developed interatomic potential can aptly describe the laser processing of diamond for nanophotonic applications, achieving accuracy comparable to ab initio methods for large systems.
为了优化量子技术相关材料（如金刚石）的激光加工参数，必须对大尺度（原子数量级）的光物质相互作用进行精确的原子模拟。经典的经验原子间势通常用于模拟如此大量的原子，但它们无法准确捕捉光-物质相互作用的所有相关效应。相反，密度泛函理论（DFT）等自证方法可以有效地结合光子激发所产生的量子特性，但其适用性仅限于最多包含约数原子的小型系统。因此，要缩小 DFT 精度与处理数百万原子之间的差距，就必须开发创新的原子间势。本文介绍了高精度金刚石原子间势的构建，该原子间势是通过大量的 DFT 计算数据集推导出来的。原子间势的参数取决于电子温度（）。研究结果表明，这种新开发的原子间势能恰当地描述了用于纳米光子应用的金刚石激光加工过程，其精确度可与大系统的 ab initio 方法相媲美。
{"title":"Interatomic Potential For Carbon Based Quantum‐Technology Applications","authors":"Malwin Xibraku, Martin E. Garcia, Bernd Bauerhenne","doi":"10.1002/qute.202300454","DOIUrl":"https://doi.org/10.1002/qute.202300454","url":null,"abstract":"To optimize parameters for laser processing of quantum‐technology relevant materials, such as diamond, precise atomistic simulations of the light‐matter interaction on large scales (on the order of atoms) are essential. Classical empirical interatomic potentials are commonly employed for simulating such a large number of atoms, however they fail to accurately capture all relevant effects of light‐matter interaction. Conversely, ab initio methods like Density Functional Theory (DFT) can effectively incorporate quantum properties arising from photon excitations, but their applicability is limited to small systems containing at most approximately atoms. Consequently, bridging the gap between achieving DFT precision and handling millions of atoms necessitates the development of innovative classes of interatomic potentials. In this paper, the construction of a highly accurate interatomic potential for diamond is presented, derived from an extensive dataset of DFT calculations. The parameters of the interatomic potential depend on the electronic temperature (). The findings demonstrate that this newly developed interatomic potential can aptly describe the laser processing of diamond for nanophotonic applications, achieving accuracy comparable to ab initio methods for large systems.","PeriodicalId":501028,"journal":{"name":"Advanced Quantum Technologies","volume":"45 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140832009","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}
José‐Enrique García‐Ramos, Álvaro Sáiz, José M. Arias, Lucas Lamata, Pedro Pérez‐Fernández
In this paper, the application of quantum simulations and quantum machine learning is explored to solve problems in low‐energy nuclear physics. The use of quantum computing to address nuclear physics problems is still in its infancy, and particularly, the application of quantum machine learning (QML) in the realm of low‐energy nuclear physics is almost nonexistent. Three specific examples are presented where the utilization of quantum computing and QML provides, or can potentially provide in the future, a computational advantage: i) determining the phase/shape in schematic nuclear models, ii) calculating the ground state energy of a nuclear shell model‐type Hamiltonian, and iii) identifying particles or determining trajectories in nuclear physics experiments.
{"title":"Nuclear Physics in the Era of Quantum Computing and Quantum Machine Learning","authors":"José‐Enrique García‐Ramos, Álvaro Sáiz, José M. Arias, Lucas Lamata, Pedro Pérez‐Fernández","doi":"10.1002/qute.202300219","DOIUrl":"https://doi.org/10.1002/qute.202300219","url":null,"abstract":"In this paper, the application of quantum simulations and quantum machine learning is explored to solve problems in low‐energy nuclear physics. The use of quantum computing to address nuclear physics problems is still in its infancy, and particularly, the application of quantum machine learning (QML) in the realm of low‐energy nuclear physics is almost nonexistent. Three specific examples are presented where the utilization of quantum computing and QML provides, or can potentially provide in the future, a computational advantage: i) determining the phase/shape in schematic nuclear models, ii) calculating the ground state energy of a nuclear shell model‐type Hamiltonian, and iii) identifying particles or determining trajectories in nuclear physics experiments.","PeriodicalId":501028,"journal":{"name":"Advanced Quantum Technologies","volume":"25 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140832117","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}
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