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[1] arXiv:2507.12626 [中文pdf, pdf, html, 其他]

标题： 伊辛机的几何理论 显示英文标题

标题： Geometric Theory of Ising Machines

Andrew G. Moore, Zachary Richey, Isaac K. Martin

评论： 26页，11图

主题： 新兴技术 (cs.ET) ; 无序系统与神经网络 (cond-mat.dis-nn)

我们为低温伊辛机的设计数学理论做出贡献，这是一种实现伊辛模型的实验性概率计算设备。将函数的输出编码在物理系统的基态中，可以实现高效和分布式计算，但能量函数的设计是一个困难的难题。我们引入一种图示装置，使我们能够可视化伊辛电路的决策边界。然后用于证明两个结果：(1) 伊辛电路是具有某种特殊结构的1-NN分类器的推广，(2) 能量景观中局部最小值的消除可以表述为一个线性规划问题。 显示英文摘要

We contribute to the mathematical theory of the design of low temperature Ising machines, a type of experimental probabilistic computing device implementing the Ising model. Encoding the output of a function in the ground state of a physical system allows efficient and distributed computation, but the design of the energy function is a difficult puzzle. We introduce a diagrammatic device that allows us to visualize the decision boundaries for Ising circuits. It is then used to prove two results: (1) Ising circuits are a generalization of 1-NN classifiers with a certain special structure, and (2) Elimination of local minima in the energy landscape can be formulated as a linear programming problem.

交叉提交 (展示 2 之 2 条目 )

[2] arXiv:2507.12480 (交叉列表自 cs.SE) [中文pdf, pdf, html, 其他]

标题： 基于大语言模型的量子代码编译 显示英文标题

标题： LLM-Powered Quantum Code Transpilation

Nazanin Siavash, Armin Moin

评论： IEEE国际量子计算与工程会议（QCE）2025 - 扩展摘要

主题： 软件工程 (cs.SE) ; 人工智能 (cs.AI) ; 新兴技术 (cs.ET)

存在各种针对不同量子计算平台的软件开发工具包（SDKs）。 这些被称为量子SDKs（QSDKs）。 示例包括但不限于Qiskit、Cirq和PennyLane。 然而，这种多样性给混合量子-经典软件系统的互操作性和跨平台开发带来了重大挑战。 传统的基于规则的编译器在将代码在QSDK之间转换时设计和维护耗时，需要在源代码和目标代码中具备深厚的专业知识和严格的映射关系。 在本研究中，我们探索使用大型语言模型（LLMs）作为一种灵活且自动化的解决方案。 利用它们的预训练知识和上下文推理能力，我们将LLMs定位为与编程语言无关的编译器，能够在保持功能等价性的前提下，将量子程序从一个QSDK转换到另一个QSDK。 我们的方法消除了手动定义转换规则的需要，并为量子软件可移植性提供了一种可扩展的解决方案。 这项工作代表了在量子计算生态系统中实现智能、通用编译迈出的一步。 显示英文摘要

There exist various Software Development Kits (SDKs) tailored to different quantum computing platforms. These are known as Quantum SDKs (QSDKs). Examples include but are not limited to Qiskit, Cirq, and PennyLane. However, this diversity presents significant challenges for interoperability and cross-platform development of hybrid quantum-classical software systems. Traditional rule-based transpilers for translating code between QSDKs are time-consuming to design and maintain, requiring deep expertise and rigid mappings in the source and destination code. In this study, we explore the use of Large Language Models (LLMs) as a flexible and automated solution. Leveraging their pretrained knowledge and contextual reasoning capabilities, we position LLMs as programming language-agnostic transpilers capable of converting quantum programs from one QSDK to another while preserving functional equivalence. Our approach eliminates the need for manually defined transformation rules and offers a scalable solution to quantum software portability. This work represents a step toward enabling intelligent, general-purpose transpilation in the quantum computing ecosystem.

[3] arXiv:2507.12765 (交叉列表自 quant-ph) [中文pdf, pdf, html, 其他]

标题： 控制硬件中常深度时间演化电路的高效经典处理 显示英文标题

标题： Efficient Classical-Processing of Constant-Depth Time Evolution Circuits in Control Hardware

Akhil Francis, Abhi D. Rajagopala, Norm M. Tubman, Katherine Klymko, Kasra Nowrouzi

主题： 量子物理 (quant-ph) ; 新兴技术 (cs.ET)

提高量子算法运行时间性能涉及多种策略，例如减少量子门数量、减少测量次数、QPU技术的进步以实现更快的门操作，或优化经典处理。 这项工作专注于后者，特别是通过硬件辅助的参数化电路执行（PCE）来减少经典处理和编译时间，以计算量子系统的动态属性。 PCE之前已在QCVV协议中得到验证，该协议利用了结构电路等价性。 我们展示了这种方法在使用结构等价的时间演化电路计算量子多体系统的动态属性中的适用性，具体是通过Cartan分解生成的恒定深度电路计算自旋模型的相关函数。 对于横场XY（最多6个站点）和海森堡自旋模型（最多3个站点）中的自旋-自旋相关函数进行实现，我们观察到与标准编译方法相比，运行时间减少了高达50%。 这突显了带有硬件辅助PCE的时间演化电路的适应性，可能有助于缓解近期量子算法中的经典瓶颈。 显示英文摘要

Improving quantum algorithms run-time performance involves several strategies such as reducing the quantum gate counts, decreasing the number of measurements, advancement in QPU technology for faster gate operations, or optimizing the classical processing. This work focuses on the latter, specifically reducing classical processing and compilation time via hardware-assisted parameterized circuit execution (PCE) for computing dynamical properties of quantum systems. PCE was previously validated for QCVV protocols, which leverages structural circuit equivalencies. We demonstrate the applicability of this approach to computing dynamical properties of quantum many-body systems using structurally equivalent time evolution circuits, specifically calculating correlation functions of spin models using constant-depth circuits generated via Cartan decomposition. Implementing this for spin-spin correlation functions in Transverse field XY (up to 6-sites) and Heisenberg spin models (up to 3-sites), we observed a run-time reduction of up to 50\% compared to standard compilation methods. This highlights the adaptability of time-evolution circuit with hardware-assisted PCE to potentially mitigate the classical bottlenecks in near-term quantum algorithms.

替换提交 (展示 2 之 2 条目 )

[4] arXiv:2502.10693 (替换) [中文pdf, pdf, html, 其他]

标题： 超大容量全双工MIMO用于太赫兹以下频率的同步下行通信和单基地感知 显示英文标题

标题： Extremely Large Full Duplex MIMO for Simultaneous Downlink Communications and Monostatic Sensing at Sub-THz Frequencies

George C. Alexandropoulos, Ioannis Gavras

评论： 13页，8图，提交至IEEE期刊

主题： 信息论 (cs.IT) ; 新兴技术 (cs.ET)

带内全双工（FD）技术最近受到关注，作为集成感知与通信（ISAC）新兴范式的推动者，该范式旨在将未连接实体的感知机制无缝集成到下一代无线网络中。在本文中，我们提出了一种具有极高天线阵列的FD多输入多输出（MIMO）系统，该系统在其收发模块中进行了优化，考虑了两种新兴的模拟波束成形架构，以同时进行下行链路（DL）通信和单基地类型的感知，后者操作依赖于传输的信息承载信号的接收反射。设计了一个新的优化框架，用于联合设计模拟和数字发射波束成形、模拟接收合并以及自干扰信号的数字取消器，其目标是最大化可实现的DL速率，同时满足未知三维参数的定位误差界限的预定义阈值。利用具有完全连接相移器网络和部分连接超材料阵列的波束成形架构的独特特性，提出了两种ISAC设计方案。我们的仿真结果展示了两种所提设计相对于现有最佳方案的优势，突显了各种系统参数在通信和感知功能之间的权衡作用。 显示英文摘要

The in-band Full Duplex (FD) technology is lately gaining attention as an enabler for the emerging paradigm of Integrated Sensing and Communications (ISAC), which envisions seamless integration of sensing mechanisms for unconnected entities into next generation wireless networks. In this paper, we present an FD Multiple-Input Multiple-Output (MIMO) system with extremely large antenna arrays at its transceiver module, which is optimized, considering two emerging analog beamforming architectures, for simultaneous DownLink (DL) communications and monostatic-type sensing intended at the sub-THz frequencies, with the latter operation relying on received reflections of the transmitted information-bearing signals. A novel optimization framework for the joint design of the analog and digital transmit beamforming, analog receive combining, and the digital canceler for the self-interference signal is devised with the objective to maximize the achievable DL rate, while meeting a predefined threshold for the position error bound for the unknown three-dimensional parameters of a passive target. Capitalizing on the distinctive features of the beamforming architectures with fully-connected networks of phase shifters and partially-connected arrays of metamaterials, two ISAC designs are presented. Our simulation results showcase the superiority of both proposed designs over state-of-the-art schemes, highlighting the role of various system parameters in the trade-off between the communication and sensing functionalities.

[5] arXiv:2507.06361 (替换) [中文pdf, pdf, html, 其他]

标题： 通过哈密顿量工程在100+位平面Kagome反铁磁体中实现基态能量的实用规模量子计算 显示英文标题

标题： Utility-Scale Quantum Computation of Ground-State Energy in a 100+ Site Planar Kagome Antiferromagnet via Hamiltonian Engineering

Muhammad Ahsan

评论： 量子计算国家中心，拉合尔工程与技术大学，巴基斯坦

主题： 量子物理 (quant-ph) ; 新兴技术 (cs.ET)

我们展示了在反铁磁海森堡模型（KAFH）下，103个格点的平坦凯库勒晶格的基态能量的实验量子计算，使用的是IBM的Heron r1和Heron r2量子处理器。 对于自旋-1/2 KAFH，我们的每个格点基态能量估计为$-0.417\,J$，在开放边界修正下，与热力学极限中的能量一致，即$-0.4386\,J$。 为了实现这一点，我们采用了一种混合方法，将传统的变分量子本征求解器（VQE）拆分为局部（经典）和全局（量子）组件，以提高硬件利用率。 更重要的是，我们引入了一种哈密顿量工程策略，增加了缺陷三角形上的耦合以模拟环翻转动力学，使我们能够在保持计算精度的同时简化假设。 使用单次重复、硬件高效的假设，我们以高保真度纠缠最多103个量子比特以确定哈密顿量的最低本征值。 这项工作展示了VQE在受挫二维系统中的可扩展性，并为未来在实用量子处理器上使用更深的假设电路和更大的晶格进行研究奠定了基础。 显示英文摘要

We present experimental quantum computation of the ground-state energy in a 103-site flat Kagome lattice under the antiferromagnetic Heisenberg model (KAFH), with IBM's Heron r1 and Heron r2 quantum processors. For spin-1/2 KAFH, our per-site ground-state energy estimate is $-0.417\,J$, which, under open-boundary corrections, matches the energy in the thermodynamic limit, i.e., $-0.4386\,J$. To achieve this, we used a hybrid approach that splits the conventional Variational Quantum Eigensolver (VQE) into local (classical) and global (quantum) components for efficient hardware utilization. More importantly, we introduce a Hamiltonian engineering strategy that increases coupling on defect triangles to mimic loop-flip dynamics, allowing us to simplify the ansatz while retaining computational accuracy. Using a single-repetition, hardware-efficient ansatz, we entangle up to 103 qubits with high fidelity to determine the Hamiltonian's lowest eigenvalue. This work demonstrates the scalability of VQE for frustrated 2D systems and lays the foundation for future studies using deeper ansatz circuits and larger lattices on utility quantum processors.