Resumen de: CN122245542A
本申请涉及一种材料的态密度确定方法、装置、设备、介质和产品。该方法包括:基于目标材料原子格点的电子跃迁项和在位势能,确定目标材料的归一化电子能量矩阵;根据归一化电子能量矩阵的能谱特征,确定目标材料态密度的原始求和表达式,并将原始求和表达式进行多项式展开,得到多项式加权组合表达式以及多项式加权组合表达式中加权系数的物理表达式;利用量子电路并行计算不同阶数的加权系数的物理表达式,得到不同阶数的加权系数值;将不同阶数的加权系数值代入至多项式加权组合表达式中,确定目标材料的态密度。采用本方法能够降低态密度确定方式的复杂度。
Resumen de: CN122242801A
本发明提供了一种离子量子比特门操作的实现方法及实现装置,该实现方法应用于离子阱中,离子阱用于囚禁多个离子量子比特,多个离子量子比特形成离子阵列,所述实现方法包括:产生具有强度梯度或偏振梯度的至少一个梯度光场;控制至少一个梯度光场聚焦并投射至离子阵列中的至少一个目标离子量子比特上;根据待执行的量子比特门操作的类型,配置目标离子量子比特与聚焦光斑的相对位置,实现目标离子量子比特的单比特门或者纠缠门操作。
Resumen de: CN122242805A
本申请公开了一种拓扑保护量子退火方法、装置、存储介质及电子设备,该拓扑保护量子退火方法包括获取优化问题规范、退火硬件约束以及保护参数配置;基于优化问题规范构建问题哈密顿量,问题哈密顿量的基态对应于优化问题的全局最优解;基于问题哈密顿量、退火硬件约束和保护参数配置,生成一条从初始哈密顿量到问题哈密顿量,且具有拓扑保护的对称退火路径;合成对称退火路径的保护退火哈密顿量,保护退火哈密顿量是归一化时间的函数,且在整个退火过程中保持对称退火路径的拓扑保护特性;对保护退火哈密顿量进行全局收敛验证,并输出通过验证的全局最优解。本申请可以从根本上解决退火动力学本身对局部极小值的敏感性,为全局收敛提供理论保证。
Resumen de: JP2026100740A
【課題】システムを提供する。【解決手段】ユーザの学習データを収集し、受信されたデータを保存するための情報記憶手段と、過去の学習データに基づき、復習の最適なタイミングを計算するための計算手段と、ユーザごとの習熟度および進捗状況を考慮して、カスタマイズされた学習計画を生成するための計画生成手段と、分析された学習成果および感情状態に基づいて、メンタルサポート情報としてフィードバックを提供するためのフィードバック生成手段と、を含むシステム。【選択図】図1
Resumen de: CN122240064A
本发明涉及随机数生成技术领域,具体公开了一种客户端本地获取量子随机数的方法、系统、主板、USB设备。本发明方法包括:在客户端本地部署量子随机数发生器装置;在客户端操作系统中加载设备驱动程序,通过该设备驱动程序对量子随机数发生器装置执行设备控制、状态监测和数据读取;客户端应用经设备驱动程序从量子随机数发生器装置获取随机数。本发明通过SPI直连方式或USB桥接方式将量子随机数发生器装置集成于客户端,并支持将硬件注册为操作系统熵源,同时实现了异常管理和有效性检测功能。本发明在成本可控的前提下,实现了客户端本地获取量子真随机数,具有架构简单、性能高、安全可靠、合规性强等优点,可应用于金融、政务、通信、娱乐等领域。
Resumen de: JP2026100590A
【課題】システムを提供する。【解決手段】複数の人工知能エージェントを管理するためのポータルプラットフォームであって、ユーザから人工知能エージェントの利用リクエストを受信する手段と、前記人工知能エージェントに関する情報をデータベースに登録および管理する手段と、ユーザが要求する特定の機能に適した人工知能エージェントを検索する手段と、選択された人工知能エージェント間で情報を連携させて処理を実行する手段を含むシステム。【選択図】図1
Resumen de: WO2025096766A1
A method for operating a quantum computer with a set of qubits is disclosed. A quantum algorithm redundantly encodes quantum information in each physical qubit. Each physical qubit redundantly encodes the quantum information. The set of physical qubits is employed to form a set of logical qubits. Each logical qubit is formed via a separate subset of the physical qubits. Each logical qubit redundantly encodes the quantum information. Each separate subset of physical qubits is disjoint from each other separate subset of physical qubits. A first quantum error correction (QEC) code is performed on each logical qubit. The first QEC code detects a first set of parity conditions across the separate subset of physical qubits forming the logical qubit. A second QEC code may be performed on the set of logical qubits. The second QEC code detects a second set of parity conditions across the set of logical qubits.
Resumen de: JP2026099482A
【課題】システムを提供する。【解決手段】情報収集装置から、プロジェクト関連のデータを収集し、統合データベースに入力する手段と、機械学習装置を用いて、収集されたデータを関連性と重要度に基づいて自動整理し、優先順位を設定する手段と、リアルタイムでプロジェクトの進捗を可視化する表示手段と、潜在的な問題を予測し、対策案を提示する分析手段と、多言語翻訳機能を通じて、異なる言語間のコミュニケーションを円滑にする翻訳手段と、過去の成功事例に基づいてリソースの最適配分を提案する手段と、を含むプロジェクト管理システム。【選択図】図1
Resumen de: JP2026099415A
【課題】システムを提供する。【解決手段】生物加工物の製造工程を監視するためのセンサデータを収集する手段と、収集したセンサデータを前処理し、データセットとして保存する手段と、生物加工物の品質を評価するために人工知能モデルを利用する手段と、人工知能モデルの評価結果に基づいて製造工程の最適化提案を生成する手段と、製造装置に最適化提案を送信して自動制御を行う手段と、製造プロセスに関してユーザに情報を提供し、必要に応じて調整を可能にする手段、を含むシステム。【選択図】図1
Resumen de: JP2026099254A
【課題】システムを提供する。【解決手段】利用者からの入力を受信する手段と、該入力を基に自然言語処理を行い、利用者の目的や興味を特定する手段と、前記目的や興味に基づいて質問を生成する生成モデルを用いる手段と、該生成した質問を利用者に提供する手段と、を含むシステム。【選択図】図1
Resumen de: JP2026099357A
【課題】システムを提供する。【解決手段】操作データを収集し、前処理を行うサーバ手段と、前処理されたデータに基づいて機械学習モデルを構築し、重機操作の指令を生成するサーバ手段と、サーバから受信した指令に基づいて重機を遠隔操作する端末手段と、重機の動作を監視し、状況に応じた調整を可能にするユーザ手段と、を含むシステム。【選択図】図1
Resumen de: US20260173771A1
0000 A quantum device includes a quantum bit having a Josephson junction element; a signal source connected to the quantum bit; and a resistive element connected between a signal path between the signal source and the quantum bit, and a ground line.
Resumen de: CN121399790A
The present disclosure relates to a waveguide assembly within a non-reciprocal electronic device (e.g., a circulator). The waveguide assembly may include a ferrite member, a magnetic member, and a pole assembly. The pole assembly forms a magnetic circuit in combination with at least the ferrite member and the magnetic member. The magnetic pole assembly has spatial variation of magnetic resistance. The spatial variation in the reluctance of the pole assembly provides an increase in the uniformity of the magnetic flux throughout the volume of the ferrite member. Due to the increase in the uniformity of the magnetic flux throughout the entire volume of the ferrite member, the non-reciprocity properties of the electronic device are enhanced.
Resumen de: WO2024245528A1
The invention relates to a coherent single photon source (100) comprising: a nanodiamond (120) having a quantum emitter (140), wherein the nanodiamond (120) and the quantum emitter (140) are designed and configured such that the quantum emitter (140) emits coherent, indistinguishable photons (160). The invention further relates to a system (300) comprising: a first coherent single photon source (101); and a second coherent single photon source (102); wherein the first coherent single photon source (101) and the second coherent single photon source (102) are designed and configured such that photons (160) emitted from a first quantum emitter (151) of a first nanodiamond (121) of the first coherent single photon source (101) are indistinguishable from photons (160) emitted from a second quantum emitter (152) of a second nanodiamond (122) of the second coherent single photon source (102).
Resumen de: US20260170381A1
A coherent Ising machine may include a process cavity configured to maintain a system state in a low photon regime. The coherent Ising machine may further include a controller configured to estimate the system state based on a previous iteration, measure the system state, determine a quantum noise in the process cavity based on comparing the estimated system state and the measured system state, calculate a feedback based on the estimated system state and the quantum noise, and provide the feedback to the process cavity for a next iteration.
Resumen de: US20260170377A1
0000 An example computer-implemented method for calibrating a qubit of a quantum device is disclosed. The example method includes obtaining a candidate calibration model for calibrating an operating characteristic of the qubit. The example method includes determining, using one or more quantum device models, a simulated quantum device performance metric associated with implementation of the candidate calibration model based on log data descriptive of observed qubit operating characteristics and associated observed quantum device performance metrics.
Resumen de: US20260173477A1
A processing system, or component thereof, and methods of making and using thereof, the system or component comprising at least one semiconductor device for real number computation using real machine computer integrated circuits implementing matter amplification by stimulated emission computation(s) (MASEC).
Resumen de: US20260170382A1
A switchable photonic quantum computing system includes a first resonator, a second resonator, a plurality of lasers, at least one switch, and at least one processor. At least one of the plurality of lasers is configured to trap a first atom, at least one of the plurality of lasers is configured to trap a second atom, at least one of the plurality of lasers is configured to manipulate the first atom, and at least one of the plurality of lasers is configured to manipulate the second atom. The at least one switch is configured to direct at least one photon from at least one of the first resonator or the second resonator to a waveguide, and the at least one processor is configured to control at least some of the plurality of lasers to manipulate at least one of the trapped first atom or the trapped second atom.
Resumen de: US20260170386A1
0000 Quantum computers with a limited number of input qubits are used to perform machine learning processes having a far greater number of trainable features. A list of features of a field are divided into a plurality of feature groups. Each of the feature groups includes a respective group of some, but not all, of the features. A first machine learning process is performed to train a first instance of a quantum computer model, where the feature groups are used as inputs. Based on the first machine learning process being performed, a subset of the feature groups is selected for a second machine learning process. Thereafter, the second machine learning process is performed to train one or more second instances of the quantum computer model. The individual features of the selected subset of the feature groups are used as inputs for the second instances of the quantum computer model.
Resumen de: US20260170371A1
0000 A method may include discretizing a partial differential equation with an initial value condition to obtain a linear equation. The method may also include scaling at least one discretization parameter of the linear equation to obtain a scaled linear equation. The method may include applying a quantum algorithm to the scaled linear equation to obtain a linear system with a preconditioned matrix. The method may further include performing a quantum singular value transformation to apply an inverse of the preconditioned matrix to obtain a solution. The method may include extracting an integral probability from the solution using an integral interpolation.
Resumen de: US20260169345A1
Circuits and methods that implement multiplexing for photons propagating in waveguides are disclosed, in which an input photon received on a selected one of a set of input waveguides can be selectably routed to one of a set of output waveguides. The output waveguide can be selected on a rotating or cyclic basis, in a fixed order, and the input waveguide can be selected based at least in part on which one(s) of a set of input waveguides is (are) currently propagating a photon.
Resumen de: US20260170378A1
0000 This invention addresses existing limitations in quantum arithmetic operations by introducing an optimized quantum modular exponentiation (MODEXP) circuit for quantum computing applications, including cryptography and secure communication. The invention integrates modular addition (MODADD) and modular multiplication (MODMUL) gates, coupled with a carry-lookahead mechanism and quantum error correction (QEC) to deliver unparalleled efficiency and scalability. Key innovations include: Achieves a 24% reduction in gate count via advanced gate merging and optimization techniques. Reduces qubit usage by 25% through ancilla qubit reuse across operations. Enables a 30% reduction in circuit depth via parallel execution of gates. Incorporates quantum error correction methods, including surface codes, to achieve error correction efficiency of at least 95%. 0000 The invention's architecture supports iterative modular arithmetic, facilitating its seamless integration in quantum cryptographic protocols like BB84. By optimizing computational resources, reducing execution time, and enhancing robustness against noise, this quantum modular exponentiation circuit provides a viable solution for near-term quantum devices and future scalable systems, paving the way for practical quantum computing in cryptography, optimization algorithms, and beyond.
Resumen de: US20260170385A1
A quantum instruction file (QIF) including instructions operable to manipulate a qubit is accessed. A quantum gate record that contains information relating to quantum gates implemented by a quantum computing system on which the QIF is to be executed is accessed. A quantum gate operation to manipulate the qubit is identified in the QIF. The QIF is modified based on the quantum gate record to generate a modified QIF. The modified QIF is caused to be scheduled for execution on the quantum computing system.
Resumen de: WO2026127977A2
Examples are disclosed that relate to tuning a topological qubit device. One example provides, on a quantum computing device, a method of tuning a topological qubit device (400) into a Majorana Parity Readout (MPR) configuration. The method comprises performing optimization of an MPR signal by iteratively adjusting one or more tuning parameters of a plurality of tuning parameters, the plurality of tuning parameters comprising a quantum dot (QD) (QD1, QD2, QD3, QD4, QD5, QD6, QD7) detuning, an enclosed flux, a voltage of a topological wire, a QD-Majorana zero mode (MZM) (410, 420, 430, 440) coupling, and a QD-QD coupling. Performing optimization of the MPR signal further comprises iteratively measuring the MPR signal using a readout resonator. Optimization of the MPR signal is iteratively performed until reaching a success metric.
Nº publicación: WO2026127997A2 18/06/2026
Solicitante:
GOOGLE LLC [US]
GOOGLE LLC
Resumen de: WO2026127997A2
Methods, systems, and apparatus for estimating expectation values of a quantum state with respect to a set of observables and to a target precision. In one aspect a method includes computing, using multiple physical copies of the quantum state and for each observable in the set of observables, an estimate of a magnitude of the expectation value of the quantum state with respect to the observable; generating, using the estimated magnitudes, an updated set of observables; computing, using the updated set of observables, a classical description of a mimicking quantum state; and performing Bell sampling on a tensor product of a physical copy of the quantum state and a physical copy of the mimicking quantum state to obtain, for each observable in the updated set of observables, an estimate of a sign of the expectation value of the quantum state with respect to the observable.