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システム

NºPublicación:  JP2026099230A 18/06/2026
Solicitante: 
ソフトバンクグループ株式会社
JP_2026099230_A

Resumen de: JP2026099230A

【課題】システムを提供する。【解決手段】オンラインプラットフォームを介して利用者から入力された相談内容に基づき、人工知能エージェントを生成する手段と、前記人工知能エージェントを用いて、専門家データベースから適切な専門家を選定する手段と、前記人工知能エージェントを介して、利用者と選定された専門家との間でリアルタイムに相談を実施する手段と、前記相談の終了後に、利用者からのフィードバックを収集し、人工知能エージェントの性能向上に使用する手段と、を含むシステム。【選択図】図1

システム

NºPublicación:  JP2026099237A 18/06/2026
Solicitante: 
ソフトバンクグループ株式会社
JP_2026099237_A

Resumen de: JP2026099237A

【課題】システムを提供する。【解決手段】学習者の評価データ、適性データ、ならびにアンケートデータを受信しこれらを統合する手段と、統合されたデータを解析して学習者の特性を特定する手段と、学習者の特性に基づいて進路の候補を提案する手段と、希望する進路に応じた学習計画を生成する手段と、教育者向けに面談資料や質問リストを自動生成する手段と、保護者に進路情報を通知する手段と、を含むシステム。【選択図】図1

システム

NºPublicación:  JP2026099330A 18/06/2026
Solicitante: 
ソフトバンクグループ株式会社
JP_2026099330_A

Resumen de: JP2026099330A

【課題】システムを提供する。【解決手段】ユーザの認証情報を匿名で管理する手段と、受け取った自然言語形式の入力データを解析する生成モデルを利用して、相談内容を分類および感情解析する手段と、解析結果に基づいて適切なアドバイスまたは外部資源へのリンクを提供する手段と、相談内容に応じて専門家へ連絡するための選択肢を提供し、ユーザの同意を得た場合に専門家へ通知する手段と、相談終了後にユーザからフィードバックを収集し、生成モデルの改善に役立てる手段と、を含むシステム。【選択図】図1

システム

NºPublicación:  JP2026099207A 18/06/2026
Solicitante: 
ソフトバンクグループ株式会社
JP_2026099207_A

Resumen de: JP2026099207A

【課題】システムを提供する。【解決手段】データ収集手段により、特定地域の特有情報を含むデータセットを取得する手段と、解析手段により、前記データセットに含まれる偏りを識別する手段と、フィードバック機構を設計し、前記偏り軽減のために特定地域の多様性を考慮した評価を行う手段と、普及資材により、偏り軽減のための基準を提供する手段と、審査機構により、偏り軽減基準に基づく適正利用の評価を行い認証標識を付与する手段と、を含むシステム。【選択図】図1

システム

NºPublicación:  JP2026099482A 18/06/2026
Solicitante: 
ソフトバンクグループ株式会社
JP_2026099482_A

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

HARDWARE-EFFICIENT ENCODING FOR OPTIMIZATION PROBLEMS

NºPublicación:  AU2024398450A1 18/06/2026
Solicitante: 
RIGETTI & CO LLC
RIGETTI & CO, LLC
AU_2024398450_PA

Resumen de: AU2024398450A1

In a general aspect, hardware-efficient encoding schemes for optimization problems are presented. In some cases, a quantum computing method includes associating subsets of qubits including data qubits and label qubits with clusters of variables in an optimization problem; and mapping the variables in each cluster to the data qubits associated with the cluster, such that multiple variables are mapped to each of the data qubits. During mapping basis states of the label qubits associated with the cluster are identified; the cluster is divided into groups of variables, each group of variables being associated with a respective one of the basis states; and for each group of variables, each variable in the group is mapped to a respective one of the data qubits associated with the cluster. The method further includes causing a quantum processing unit to execute multiple iterations of a quantum program and generating a solution to the optimization problem based on processed measurements.

Devices for Controlling Trapped Atoms and Methods for Manufacturing Thereof

NºPublicación:  US20260171383A1 18/06/2026
Solicitante: 
INFINEON TECH AUSTRIA AG [AT]
Infineon Technologies Austria AG
US_20260171383_A1

Resumen de: US20260171383A1

0000 A device for controlling trapped atoms includes a structured electrode layer. The structured electrode layer forms multiple electrodes of an atom trap configured to trap atoms in a processing zone above the structured electrode layer. The device further includes at least four wires arranged in one or more metal layers beneath the structured electrode layer. The wires surround the processing zone and each of the wires includes a first portion configured to carry an electrical current in a direction towards the processing zone and a second portion configured to carry the electrical current in a direction away from the processing zone.

METHOD FOR INTERACTING ELECTROMAGNETIC RADIATION WITH A MATTER PARTICLE

NºPublicación:  AU2024398970A1 18/06/2026
Solicitante: 
PASQAL
PASQAL
AU_2024398970_PA

Resumen de: AU2024398970A1

The present disclosure pertains to matter-light interaction methods and systems using optical tweezers. There is provided a method for interacting electromagnetic radiation with a matter particle. The method comprises generating a region of first electromagnetic radiation, where the first electromagnetic radiation is centred about a first wavelength. The method further comprises trapping the matter particle in the region, where one or more resonant frequencies for ejecting the matter particle from the region are associated with the region and matter particle. The method further comprises directing second electromagnetic radiation to overlap the region, where the second electromagnetic radiation is centred about a second wavelength, and repeatedly varying the intensity of the second electromagnetic radiation at one or more of the said resonant frequencies.

システム

NºPublicación:  JP2026099415A 18/06/2026
Solicitante: 
ソフトバンクグループ株式会社
JP_2026099415_A

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

システム

NºPublicación:  JP2026099208A 18/06/2026
Solicitante: 
ソフトバンクグループ株式会社
JP_2026099208_A

Resumen de: JP2026099208A

【課題】システムを提供する。【解決手段】特定文化に関連する画像を生成するためのデータを収集する手段と、生成された画像に対して文化的バイアスを検出する手段と、検出されたバイアスに基づいて画像の不快指数を評価する手段と、評価結果を用いてモデルを更新する手段と、更新されたモデルを用いて画像の表現を改善する手段と、を含むシステム。【選択図】図1

システム

NºPublicación:  JP2026099254A 18/06/2026
Solicitante: 
ソフトバンクグループ株式会社
JP_2026099254_A

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

システム

NºPublicación:  JP2026099357A 18/06/2026
Solicitante: 
ソフトバンクグループ株式会社
JP_2026099357_A

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

QUANTUM COMPUTING INTEGRAL PROBABILITY EXTRACTION

NºPublicación:  US20260170371A1 18/06/2026
Solicitante: 
FUJITSU LTD [JP]
Fujitsu Limited
US_20260170371_A1

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.

Quantum Error Correction using Tesseract Subsystem Code

NºPublicación:  US20260170387A1 18/06/2026
Solicitante: 
MICROSOFT TECH LICENSING LLC [US]
Microsoft Technology Licensing, LLC
US_20260170387_A1

Resumen de: US20260170387A1

A quantum computing device is provided. The quantum computing device is configured to perform quantum error correction using a tesseract subsystem code in which two encoded logical qubits of a 16, 6, 4 tesseract code are used as gauge qubits.

USING QUANTUM STATE ESTIMATION TO ENABLE MEASUREMENT-BASED OPITCAL COMPUTATION AT THE FEW PHOTON LEVEL

NºPublicación:  US20260170381A1 18/06/2026
Solicitante: 
NTT RES INC [US]
NTT RESEARCH, INC.
US_20260170381_A1

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.

量子コンピューティングシステムのための精密フェライトベース電磁信号サーキュレータ

NºPublicación:  JP2026519846A 18/06/2026
Solicitante: 
グーグルエルエルシー
JP_2026519846_A

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.

コヒーレント単一光子源

NºPublicación:  JP2026519769A 18/06/2026
Solicitante: 
バーデン-ビュルッテンベルクシュティフトゥングゲーゲーエムベーハー
JP_2026519769_A

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).

Backtesting Quantum Device Calibration

NºPublicación:  US20260170377A1 18/06/2026
Solicitante: 
GOOGLE LLC [US]
Google LLC
US_20260170377_A1

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.

SEMICONDUCTOR DEVICES FOR REAL NUMBER COMPUTATION USING COMPUTER INTEGRATED CIRCUITS IMPLEMENTING MATTER AMPLIFICATION BY STIMULATED EMISSION COMPUTATION(S) (MASEC)

NºPublicación:  US20260173477A1 18/06/2026
Solicitante: 
ANALOG COMPUTATION ENTPR INC [US]
ANALOG COMPUTATION ENTERPRISE INC.
US_20260173477_A1

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).

Optimizing Quantum Circuits with Permutable Input Registers

NºPublicación:  US20260170375A1 18/06/2026
Solicitante: 
CLASSIQ TECH LTD [IL]
Classiq Technologies LTD.
US_20260170375_A1

Resumen de: US20260170375A1

0000 A method for optimizing a quantum circuit includes obtaining a quantum circuit model comprising one or more quantum operations, wherein at least one quantum operation is marked as having permutable input registers. An optimization goal for the quantum circuit is determined. A processor selects a permutation of the input registers for the at least one marked quantum operation based on the optimization goal. An optimized quantum circuit is generated based on the selected permutation. The method may further include providing the generated optimized quantum circuit for execution by a quantum execution platform.

QUANTUM DEVICE AND METHOD OF MANUFACTURING QUANTUM DEVICE

NºPublicación:  US20260173771A1 18/06/2026
Solicitante: 
FUJITSU LTD [JP]
Fujitsu Limited
US_20260173771_A1

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.

SWITCHABLE QUANTUM COMPUTING SYSTEM

NºPublicación:  US20260170382A1 18/06/2026
Solicitante: 
YEDA RES AND DEVELOPMENT CO LTD [IL]
QUANTUM SOURCE LABS LTD [IL]
QUANTUM SOURCE LABS LTD.
YEDA RESEARCH AND DEVELOPMENT CO. LTD.
US_20260170382_A1

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.

QUANTUM-COMPUTER-BASED MACHINE LEARNING

NºPublicación:  US20260170386A1 18/06/2026
Solicitante: 
PAYPAL INC [US]
PAYPAL, INC.
US_20260170386_A1

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.

Real-Time Quantum Gate Translation Based on a Quantum Gate Architecture of a Quantum Computing System

NºPublicación:  US20260170385A1 18/06/2026
Solicitante: 
RED HAT INC [US]
Red Hat, Inc.
US_20260170385_A1

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.

Distributed quantum computing

Nº publicación: GB2702580A 17/06/2026

Solicitante:

NU QUANTUM LTD [GB]
Nu Quantum Ltd

WO_2026047352_PA

Resumen de: GB2702580A

A distributed quantum computing system 100, e.g. a quantum memory, comprises: quantum computing units 102 of qubits; quantum networking units 104, each coupled to qubits on the quantum computing units and being configured to selectively couple each qubit to a fixed number of outputs; entanglement units 106, each having inputs to receive signals from the quantum networking units 104 and configured to entangle the received signals; a fixed coupling network 110 comprising predefined network pathways between outputs of the quantum networking units and the inputs of the entanglement units; and a control system 108 configured to control the plurality of the quantum networking units 104 to entangle qubits of the quantum computing units according to a topology associated with an error correcting code. The networking units 104 comprise photonic integrated chips to selectively couple each qubit to the fixed number of outputs. Network pathways may comprise optical fibers. The topology may be divided into tiles with connections such that the number of connections between tiles is minimised. Entanglement units 106 comprise performing Bell state measurements. The error-correcting code may be: low-density parity-check, qLDPC; hyperbolic or semi-hyperbolic; Floquet. figure 1

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