Alerta

QUANTUM RAM

Absstract of: EP4779531A1

0001 This application concerns a method of quantum-accessing a memory (2) using a quantum address (3) by operating a quantum computing module (1') and a quantum processing unit (4), wherein the quantum computing module (1') comprises a plurality of resource qubits initialized in a resource state (1), wherein the quantum processing unit (4) supports a quantum address (3) comprising a plurality of address qubits, wherein the method comprises the steps: i. entangling a first subset of the resource qubits of the resource state (1) with the quantum address (3) by applying a single layer of entangling quantum gates (5) onto the first subset of the resource qubits and the address qubits, subsequently performing a single layer of measurements (6) on the entangled first subset of resource qubits and address qubits and collecting the measurement outcomes (m), ii. correlating a second subset of resource qubits of the resource state (1) with the memory (2) by applying a single layer of conditional quantum gates (7) depending on the measurement outcomes (m) from step i. and on the values stored in the memory (2) onto the second subset of resource qubits and subsequently performing a single layer of measurements (6) on the correlated second subset of resource qubits, iii. performing a logarithmic number of layers of measurements (6) on a third subset of the resource qubits of the resource state (1), iv. collecting the output state (8) on the unmeasured qubits of the resource state (1).

HYBRID QUANTUM-CLASSICAL COMPUTER FOR BAYESIAN INFERENCE WITH ENGINEERED LIKELIHOOD FUNCTIONS FOR ROBUST AMPLITUDE ESTIMATION

Absstract of: EP4779532A2

A hybrid quantum-classical (HQC) computer takes advantage of the available quantum coherence to maximally enhance the power of sampling on noisy quantum devices, reducing measurement number and runtime compared to VQE. The HQC computer derives inspiration from quantum metrology, phase estimation, and the more recent "alpha-VQE" proposal, arriving at a general formulation that is robust to error and does not require ancilla qubits. The HQC computer uses the "engineered likelihood function" (ELF)to carry out Bayesian inference. The ELF formalism enhances the quantum advantage in sampling as the physical hardware transitions from the regime of noisy intermediate-scale quantum computers into that of quantum error corrected ones. This technique speeds up a central component of many quantum algorithms, with applications including chemistry, materials, finance, and beyond.

ION TRAP ASSEMBLY

Absstract of: WO2025056885A1

An ion trap assembly comprising an ion trap body, a component, and a compliant structure, wherein the compliant structure is a passive alignment structure configured to positionally retain the component relative to the body. In one embodiment, a cantilever beam positionally retains an optical fibre component relative to a groove. This avoids the drawbacks of gluing optical components.

SCHEDULES FOR DIFFERENTIAL EQUATION QUANTUM COMPUTATIONAL TASKS

Absstract of: WO2025188359A2

In some implementations, a computation system may include identifying a computational task for processing on a quantum information processing system, the computational task having one or more differential equations. In addition, the computation system may include generating a scheduling plan for execution of the differential equation on the quantum information processing system, the scheduling plan having a query count specifying a quantity of queries to be performed against a block-encoding of the differential equation to generate results data for the computational task. A quantum information processing system can process the queries to generate a quantum state, such as a history state or final state that corresponds to the differential equation.

SYSTEMS AND METHODS FOR DETERMINISTIC CREATION OF STRAINED COLOR CENTERS IN NANOSTRUCTURES VIA HIGH-STRESS THIN FILMS

Absstract of: WO2025151155A2

Devices, systems, and methods that use a structure are provided. The structure may include a waveguide layer and an intrinsically stressed thin film. The waveguide layer may include a first material. The intrinsically stressed thin film may include a second material. The intrinsically stressed thin film may be disposed on the waveguide layer, thereby inducing a strain in the waveguide layer. The first material may include at least one color center having a first pair and/or second pair of energy levels or quantum states having an optical energy separation and/or a second pair of energy levels or quantum states having a microwave energy separation. The optical energy separation and the microwave energy separation of the pair of energy levels and/or quantum states may be determined by the induced strain.

QUBITS BASED ON MAJORANA ZERO MODES AND QUANTUM-DOT CHAINS FOR HOSTING MAJORANA ZERO MODES

Absstract of: NL2035808B1

The disclosure relates to qubits based on quantum-dot chains for hosting Majorana zero modes and has applications in topological quantum computing. The qubit is based on quantum-dot chains configured to host Majorana zero modes and comprises: a first quantumdot chain comprising a first pair of two outer quantum dots and configured to host a first pair of Majorana zero modes in the first pair of two outer quantum dots; a second quantum-dot chain comprising a second pair of two outer quantum dots and configured to host a second pair of Majorana zero modes in the second pair of two outer quantum dots; and a readout system comprising one or more auxiliary quantum dots and configured to provide a coupling 10 between the Maj orana zero modes. The disclosure further relates to a two-qubit system and to quantum-dot chains for hosting Majorana zero modes and for providing a qubit based on Maj orana zero modes. Fig. 7b 15

Method for performing logical qubit operations

Absstract of: GB2703293A

A quantum computing system comprises data and auxiliary qubits where logical qubits are implemented by physical qubits including physical qubits subsets 220(1 )-220(5) including additional physical qubits subsets 220(2)-220(4). Synchronisation between data qubits during a logical qubit operation between logical qubits 210(1), 210(2) comprises: identifying a synchronisation scheme for the logical qubit operation defining time periods 230(1), 230(2) and synchronisation groups 240(1), 240(2) for each of the time periods; wherein each of the synchronisation groups, e.g. 240(1 ), includes two or more physical qubit subsets, e.g. 220(1 )-220(3), to be synchronised with one another for a respective time period, e.g. 230(1 ); and wherein the synchronisation groups partially overlap with one another, e.g. 220(3) to form a logical chain of synchronisation groups between physical qubit subsets implementing the plurality of logical qubits; wherein the logical chain of synchronisation groups spans the plurality of time periods. The logical qubit operation (e.g. entangling, lattice surgery) is executed by performing physical qubit operations on an initial synchronization group 240(1) in an initial time period 230(1) and performing physical qubit operations on subsequent synchronisation groups 240(2) at a later time period 230(2). Syndrome data is also received comprising receiving syndrome data for physical qubits within an initial synchronisation group for an initial time period and a sub

基于量子叠加纠缠干涉的多视图图表示学习方法及系统

Absstract of: CN122433850A

本发明提出了一种基于量子叠加纠缠干涉的多视图图表示学习方法及系统。其核心在于：对每个视图先进行图神经网络编码，再将各视图表示投影到复值状态空间，之后利用参数化量子线路产生节点级幅值—相位门控，并据此对多视图单位范数复状态进行超位置叠加，最后通过 Born 规则启发的复内积和干涉分解完成评分与推理。本发明既能表达视图重要性、又能表达视图方向性，还能在样本级输出可解释干涉项；通过参数化量子线路生成适应于不同节点或图样本的幅值与相位门控；在提升了图任务性能的同时，保持了训练稳定性、可扩展性和与真实量子硬件的对应性。

用于确定量子系统的基态的方法、用于借助量子计算机制备量子系统的基态的方法、混合计算机平台、混合变分量子算法

Absstract of: WO2025087658A1

The invention relates to a method (100) for determining a ground state (1000) of a quantum system, comprising the following steps: 6) determining (102) a thermal state (1020) of the quantum system at the temperature value (1001', 1001) by optimizing an amount of free energy (3020) of the thermal state (1020) by means of the variational quantum thermalizer (1010) by iteratively adjusting the gate parameters (1022', 1022) until a first termination criterion is satisfied; 7) checking (1025) whether the previously determined thermal state satisfies a second termination criterion; 8) if the second termination criterion is not satisfied (10250): o reducing (1026) the temperature value (1001', 1001); o initializing (301) the quantum circuit (1011) of the variational quantum thermalizer with the gate parameters (1022', 1022) of the last iteration from step 2); o repeating steps 2) and 3); 9) if the second termination criterion is satisfied (10251): o providing (103) a spectrum (1030) of the quantum system using the gate parameters (1022) of the last iteration from step 2) before the second termination criterion is satisfied (10251); o determining (104) the ground state (1000) of the quantum system by selecting the state of the spectrum with which the lowest amount of energy is associated.

一种分布式量子计算的通信协调系统

Absstract of: CN122433935A

本发明涉及一种分布式量子计算的通信协调系统，具体涉及分布式量子计算领域，通过对异构量子处理器及网络状态的实时感知与统一表征，构建动态计算图，并利用深度强化学习模型生成优化调度决策，高保真数字孪生可对决策方案进行前瞻性推演，识别性能衰减与网络拥塞风险，并生成经评估的补救预案，在执行过程中，能融合基线方案与优化预案，生成弹性指令序列，并根据实际与预测的偏差动态触发重调度，实现自适应协调，整个方案还能利用执行反馈数据，周期性地对调度模型与数字孪生模型进行增量学习，从而持续提升资源利用效率、任务成功率与整体协调智能化水平。

一种基于多架构融合的时间序列量子建模方法及系统

Absstract of: CN122433010A

本申请公开一种基于多架构融合的时间序列量子建模方法及系统，方法包括，获得原始时间序列数据；根据原始时间序列数据对应的序列长度和序列复杂度，在串行重上传架构、并行重上传架构和扩展并行重上传架构中确定一者作为最优量子模型架构；根据具有最优量子模型架构的目标量子电路处理基于原始时间序列数据确定的特征编码量子态，以获得原始时间序列数据对应的预测结果。

量子-经典混合计算框架下的心电图心律失常智能监测方法与系统

Absstract of: CN122423886A

本发明涉及智能医疗技术领域，提供一种量子‑经典混合计算框架下的心电图心律失常智能监测方法与系统。该方法包括：获取目标心电图信号数据，将所述目标心电图信号数据通过量子振幅编码到希尔伯特空间，得到包含目标心电图信号信息的第一量子态；基于参数化量子线路对所述第一量子态进行自适应纠缠特征提取，得到第二量子态；对所述第二量子态进行测量，得到心电图信号经典特征；采用包含两层全连接层的神经网络作为经典层，将所述心电图信号经典特征作为所述经典层的输入，输出目标心电图信号的心律失常监测结果。

一种基于量子计算机的数据处理方法、介质及设备

Absstract of: CN122433933A

本申请实施例提供一种基于量子计算机的数据处理方法、介质及设备，该方法包括：对多条应收账款原始记录进行结构化处理得到规范化对象池；根据权利状态字段从规范化对象池中剔除权利状态无效的对象，得到保留对象列表；根据保留对象列表中的互斥关系，生成禁配集合及二次高罚项；计算保留对象列表中每个对象的单笔综合风险成本；针对保留对象列表中不属于禁配集合中的各目标对象对，生成稀疏两两结构风险项；根据单笔综合风险成本和每个稀疏两两结构风险项确定基础风险函数；将基础风险函数、二次高罚项以及各类平方罚项叠加得到总QUBO目标函数；将QUBO目标函数编译为量子处理器可执行的参数配置并通过量子处理器确定输出数据。

基于电化学特性分析的硅凝胶绝缘劣化评估方法及系统

Absstract of: CN122436095A

本发明涉及绝缘劣化检测技术领域，具体为一种基于电化学特性分析的硅凝胶绝缘劣化评估方法及系统，所述方法包括：获取硅凝胶材料分子结构的构型参数，并识别化学缺陷，构建多种典型化学缺陷模型；计算硅凝胶各化学缺陷模型对应的陷阱深度与重组能；计算空间电荷弛豫时间；测量超快脉冲电场作用下硅凝胶样品的分子振动信号，并提取分子振动幅值；基于获得的空间电荷弛豫时间与设定的脉冲电场上升沿时间，协同分子振动幅值建立绝缘失效判据，评估硅凝胶劣化状态。通过比较空间电荷弛豫时间与脉冲电场上升沿时间，明确判断电荷是否发生去俘获并诱发劣化，引入分子振动幅值作为协同判据，显著提升了评估的准确性。

基于量子调制多频段声波生成与实时播放平台及方法

Absstract of: CN122436246A

本发明公开了一种基于量子调制多频段声波生成与实时播放生态系统及方法，涉及健康管理、量子计算与智能生态领域。系统包括量子调制引擎、多频段声波生成模块、实时边缘播放模块、云端QHN配方订阅与NFT交易中心及多设备联动生态模块。通过量子场模拟生成多频段调制声波，支持个性化多病种融合QHN配方实时合成与推送；边缘设备实现低延迟播放与固件OTA更新；云端集成区块链隐私保护与NFT QHN配方交易机制，用户可订阅、铸造、交易个性化疗愈QHN配方；并支持AR可视化疗愈界面，实时呈现声波对脑波/细胞的共振效果。系统适用于可穿戴设备、家居音箱、智能机器人等场景，具有显著的疗愈生态商业价值与数据安全优势。

基于双层量子求解的电力系统暂态稳定并行时域仿真方法

Absstract of: CN122433349A

本发明涉及电力系统暂稳定性并行时域仿真与量子计算技术领域，尤其是一种基于双层量子求解的电力系统暂态稳定并行时域仿真方法。本发明将总仿真时间区间分割为多个子区间构造量子粗算子；将各子区间划分为多个小区间，利用分块集成式并行路径构造全时域集成修正方程组，基于小区间构建量子精算子对修正方程组进行求解，得到各子区间的量子精计算结果。本发明通过量子精算子和量子粗算子构建双层量子求解体系，将暂态稳定时域仿真的全时域划分为多个子区间进行并行求解，打破了传统串行递推框架下严格的时序依赖，避免了整体计算过程完全受前后时步顺序约束，从而提高了暂态稳定时域仿真的整体计算效率。

基于量子AI声波疗愈集成与脑波闭环系统及方法

Absstract of: CN122424469A

本发明公开了一种基于量子AI声波疗愈集成与脑波闭环系统及方法，涉及健康管理和量子计算领域。系统包括量子多模态验证模块、动态生理采集模块、量子AI优化模块、量子声波调制模块及闭环生态联动模块。用户通过量子增强设备（如MR眼镜）验证身份后，系统采集脑波、心率变异性（HRV）、动物行为等跨物种信号，量子AI优化模块利用Hamiltonian量子模拟、量子神经网络（QNN）和Torch强化学习（RL）算法，生成多病种融合的个性化量子纠缠声波簇，并通过量子数字孪生云平台建模实时反馈。声波输出结合光信号同步，同时联动家居设备实现闭环干预，支持QHN量子云订阅机制更新配方。本发明无需依赖特定预设频率，通过量子纠缠自适应生成个性化声波簇，实现更广谱的神经调控，适用于人类多病种（如高血压、痛风、神经退行性疾病、慢性疼痛）等，具备量子边缘计算和零知识证明隐私保护，具有医疗辅助、智能可穿戴和量子机器人产业价值。

基于量子AI的预防性全家庭情绪疗愈集成系统及方法

Absstract of: CN122436211A

本发明公开了一种基于量子AI的预防性全家庭情绪疗愈集成系统及方法，涉及健康管理、量子计算和预防医学领域。系统包括量子多模态预测模块、预防性量子干预模块、全家庭同步生态模块、量子数字孪生预防云平台及闭环生态联动模块。系统通过可穿戴设备采集家庭成员（含宠物）多模态数据，量子AI利用QNNRL算法提前预测情绪风险，生成预防性量子纠缠声波簇+光信号干预，实现全家庭同步预防疗愈，支持零知识证明隐私共享。本发明采用基于经典计算机的量子模拟/量子启发式算法，无需依赖固定频率，通过量子自适应预测与预防，实现广谱情绪风险防控，适用于家庭压力预防、儿童发育保护、老人孤独缓解、宠物情绪同步等场景，具有量子边缘计算和订阅迭代优势，产业价值覆盖智能家居、可穿戴和预防医疗。

量子芯片测控平台

Absstract of: CN122433934A

本申请提供了一种量子芯片测控平台。该量子芯片测控平台包括基板、多个电极以及多个信号通道。基板上设置有芯片承载区，用于承载量子芯片。多个电极设置在基板上芯片承载区的周围，包括绕芯片承载区排布在芯片承载区外侧的内层电极和绕芯片承载区排布在内层电极外侧的外层电极，多个电极用于与量子芯片键合。多个信号通道设置在基板上并分别与多个电极电连接，用于向量子芯片发送或从量子芯片接收电信号。

中转航班确定方法、装置、网络设备及存储介质

Absstract of: CN122435804A

本申请实施例提供了一种中转航班确定方法、装置、网络设备及存储介质，该方法包括：构建目标数据对应的量子增强多目标推荐算法的目标模型；所述目标数据包括航班价格数据、中转航班时间数据以及可靠性评估数据；将时间、机场状态数据以及航班动态数据的三维数据集作为所述目标模型的输入，得到多个计算结果；所述机场状态数据包括天气数据以及机场物联数据；所述计算结果为航班中转方案对应的时间、价格以及可靠性；对所述多个计算结果执行多路径搜索算法，得到至少一个目标中转方案；将所述目标中转方案发送至第二节点。本方案解决了现有技术中心化匹配系统在计算效率和数据可信度方面存在局限性，而纯区块链方案存在计算性能上的瓶颈的问题。

多比特超导量子芯片和量子计算机

Absstract of: CN122433931A

本发明公开了多比特超导量子芯片和量子计算机，多比特超导量子芯片包括：多个表面码晶格，多个表面码晶格构成二维环面结构，多个表面码晶格之间通过高保真跨芯片量子互联进行耦合连接；表面码晶格沿两个正交方向分为多个子晶格模块，多个子晶格模块之间耦合连接，每个子晶格模块单独集成于一个子芯片上。本发明解决了单芯片集成方案无法实现大码距环面码的技术问题。

结构保持编码与量子知识蒸馏多档位部署方法及系统

Absstract of: CN122433938A

本发明提供了一种结构保持编码与量子知识蒸馏多档位部署方法及系统，包括：获取经典数据，通过反射格雷码等结构保持编码方案转换为量子编码数据；训练大规模量子教师模型；构建学生模型，通过含编码一致性约束的联合损失函数实现知识蒸馏；结合硬件资源约束压缩模型并生成多档位版本，适配不同部署平台。系统对应包含各功能模块，装置为混合计算装置，存储介质存储对应程序。本发明提升模型收敛速度与生成质量，实现灵活部署，助力生成式量子模型产业化应用。

一种机器学习模型的SHAP值计算方法及相关装置

Absstract of: CN122433932A

本申请公开了一种机器学习模型的SHAP值计算方法及相关装置，涉及可解释机器学习技术领域，首先将机器学习模型对应的各特征子集与模型预测效果之间的映射关系确定为目标函数集，采用二次无约束二进制优化矩阵将特征子集选择问题转换为组合优化问题。然后，采用量子优化算法在量子态空间中并行搜索机器学习模型的高贡献特征子集，其搜索空间为多项式级，大大降低了SHAP值的计算复杂度。基于高贡献特征子集进行蒙特卡洛采样，提高蒙特卡洛采样的有效采样比例，进一步提高了SHAP值的计算精度。最后，基于各特征的SHAP值确定核心特征，依据核心特征生成与机器学习模型所属业务场景对应的关键决策信息。

一种超低温真空泵的量子AI自适应智能控制方法及系统

Absstract of: CN122429098A

本发明公开了一种超低温真空泵的量子AI自适应智能控制方法及系统，涉及超低温真空泵控制技术领域，该方法包括：量子状态监测、量子健康评估、量子预测迁移、量子策略生成和闭环执行优化五大步骤，通过部署超导量子干涉传感器阵列，实时采集多源运行参数，基于量子耦合健康评估算法生成量子耦合健康指数，利用量子时序预测决策算法结合量子联邦学习架构，实现设备未来状态推演与自适应维护策略生成；本发明通过部署极端工况适配的传感器阵列，结合量子健康评估、时序预测与联邦学习，精准感知设备状态并推演趋势，大幅提升状态感知与趋势预测的精准可靠性，实现运维精细化管控，降低故障率并优化资源配置，增强极端工况下运行稳定性。

基于多模态融合的情感状态评估方法、系统、设备及介质

Nº publicación: CN122433043A 21/07/2026

Applicant:

西北工业大学

Absstract of: CN122433043A

本发明提供一种基于多模态融合的情感状态评估方法、系统、设备及介质，本方法通过将目标音视频片段的文本语义序列、语音声学序列与视频视觉序列在统一框架下进行融合处理，使训练与推理流程在接口约束与计算路径上保持确定性，便于工程部署与复现实验结果，基于量子模糊门控的多模态融合模型，能够提升目标音视频片段情感强度评估的准确性与鲁棒性，降低噪声干扰、缺失片段、模态质量差异及对齐误差对评估结果的影响。在智能客服质检、在线视频内容理解、在线教育交互评估、舆情分析及人机交互等场景中，有利于获得更加稳定、可解释且具有业务参考价值的情感状态评估结果。