View Financial HealthQuantum X Labs 配当と自社株買い配当金 基準チェック /06Quantum X Labs配当金を支払った記録がありません。主要情報n/a配当利回り-13.5%バイバック利回り総株主利回り-13.5%将来の配当利回りn/a配当成長n/a次回配当支払日n/a配当落ち日n/a一株当たり配当金n/a配当性向n/a最近の配当と自社株買いの更新更新なしすべての更新を表示Recent updatesお知らせ • Jul 30Quantum X Labs Demonstrates Complete Quantum-Enabled Clinical Data Analysis Use CaseQuantum X Labs Inc. has announced the successful demonstration of a complete quantum-enabled clinical data analysis use case. The demonstration showcases the company's ability to process real clinical data through an integrated analytical workflow, preparation, quantum-enabled analysis, and generation of biologically and clinically interpretable insights. The workflow was executed using Quantum X's quantum simulation environment designed to emulate quantum computational processes relevant to the Company's analytical platform. Quantum X’s proprietary algorithm platform, operated through its subsidiary, CliniQuantum and protected through the company's intellectual property portfolio and patent filings, is designed to enable quantum-enhanced sampling for continuous probability distributions relevant to advanced statistical analyses of clinical trial and biomedical datasets. The completed End-to-End clinical data analysis demonstrates the platform's ability to take clinical grade data through the full lifecycle of its platform, from secure ingestion and preparation, through quantum based analytical processing, and back to domain relevant interpretability, within a single, integrated framework. This milestone confirms that the platform can support a complete analytical workflow designed to handle complex, high dimensional biomedical data and apply quantum inspired and quantum enabled methods to uncover non obvious structure, while maintaining alignment with downstream scientific interpretation requirements.お知らせ • Jul 28Quantum X Labs Inc. Launches Quantum Computing Infrastructure Consulting PracticeQuantum X Labs Inc. announced the launch of its Quantum Computing Infrastructure Consulting Practice, a new professional consulting practice designed to assist universities, research institutions, government organizations, national laboratories, and commercial enterprises in designing, assembling, commissioning, and expanding advanced quantum computing infrastructure. The consulting practice is intended to support organizations pursuing the deployment of cold-atom and neutral-atom quantum computing infrastructure, providing expert guidance throughout the entire infrastructure development lifecycle—from initial architectural planning and technical specifications to equipment selection, optical architecture, infrastructure planning, integration, commissioning, and operational readiness. The consulting practice is designed to support infrastructure projects regardless of the quantum computing platform ultimately selected by the customer, while leveraging Quantum X Labs' specialized expertise in cold-atom and neutral-atom technologies. The services provided by Company's consulting practice are expected to initially include: Quantum computing infrastructure architecture and facility planning, Cold-atom infrastructure design, Vacuum, electronics, and control infrastructure planning, Equipment selection and procurement guidance, System integration planning and commissioning support, Experimental workflow optimization, Computing infrastructure expansion and scalability planning.お知らせ • Jul 24Quantum X Labs Reports Meaningful Error Correction Decoder Results with Nvidia Cuda-Q QecQuantum X Labs has completed development steps with the NVIDIA CUDA-Q Ecosystem. The work is focused on reviewing QXL’s milestone results and draws on NVIDIA accelerated computing, the NVIDIA CUDA-Q QEC software libraries and, as QXL progresses from simulation-based validation toward hardware-derived syndrome data and future real-time decoding. QXL has completed two meaningful development steps. First, the Company executed its Deep Quantum Error Correction (DQEC) workflow on an NVIDIA GPU in an AWS environment and benchmarked its transformer-based QECCT decoder against the classical Minimum-Weight Perfect Matching (MWPM) decoder across controlled toric-code noise configurations. QECCT outperformed MWPM in selected simulated regimes. QXL also tested synthetic surface-code configurations modeled on Google’s public surface-code geometry and experiment structure, spanning multiple code distances. Across these scenarios, the QECCT decoder showed stable logical and bit error rates under varying physical error conditions. These results are intended as an initial step in validating the approach within controlled simulation environments. Future work is expected to focus on extending these evaluations to publicly available experimental datasets and continuing to refine data pipelines and decoder workflows compatible with CUDA-Q QEC frameworks. The broader roadmap also includes QXL’s planned work with IQCC, a Quantum Machines company, to generate hardware-derived syndrome data on superconducting quantum processing hardware. QXL is also reviewing where AI-based pre-decoder workflows using NVIDIA Ising, and low-latency optimization can add the greatest value across these stages of QXL’s roadmap. QXL’s DQEC technology is based on a proprietary transformer architecture that uses QEC code structure and syndrome information to predict logical corrections. The program is intended to support multiple stabilizer-code workflows and to evaluate the decoder as a full decoder, pre-decoder or hybrid component within accelerated QEC systems.お知らせ • Jul 15Quantum X Labs Validates Continuous-Data Quantum Sampling Workflow And Achieves Significant GPU Acceleration With NVIDIA CUDA-QQuantum X Labs Inc. has successfully validated a quantum sampling workflow that enables continuous probability distributions to be represented and analyzed within a quantum computing framework using Quantum X Labs’ proprietary algorithmic technology and related intellectual property portfolio. The milestone demonstrates the ability to transform continuous data into quantum-compatible energy map representations capable of supporting advanced quantum algorithms. Quantum X Labs developed a proprietary methodology that converts continuous data into an energy landscape representation suitable for quantum computation. This representation enables the application of Quantum Markov Chain Monte Carlo (QMCMC) techniques while preserving the statistical properties of the original dataset. As part of the validation, the team tested the workflow using a multi-modal probability distribution composed of two Gaussian functions. This benchmark was selected because it provides a visually verifiable continuous landscape containing multiple high-probability regions. The resulting samples accurately reproduced the underlying structure of the target distribution, confirming that Quantum X Labs’ energy-map representation effectively captures key probability features while supporting quantum-based sampling. The workflow combines quantum state evolution with a classical Metropolis-Hastings acceptance process. Continuous variables are discretized, transformed into a quantum-compatible energy landscape, and encoded into a problem Hamiltonian. Quantum dynamics are then used to generate proposed samples, while the classical acceptance step preserves the desired target distribution. This hybrid quantum-classical architecture allows continuous data to be explored using quantum-generated proposals while maintaining established statistical guarantees. The implementation was developed and evaluated using the NVIDIA CUDA-Q platform for hybrid quantum-classical computing. Testing was performed on both CPU and GPU simulation environments to assess computational performance. Quantum X Labs observed a reduction in runtime from approximately 9,503 seconds on CPU to approximately 888 seconds on GPU, representing more than a ten-fold improvement in execution speed through GPU acceleration. The successful validation demonstrates both the robustness of Quantum X Labs’ continuous-data quantum representation framework and its compatibility with modern accelerated computing environments. Quantum X Labs believes that efficient methods for representing continuous data in quantum systems will become increasingly important as quantum hardware and hybrid quantum-classical workflows continue to mature.お知らせ • Jun 25Quantum X Labs Demonstrates First All-Optical Hemispherical Resonator GyroscopeQuantum X Labs Inc. announced a major technological milestone: the successful demonstration of its first fully all-optical Hemispherical Resonator Gyroscope (HRG) in its lab. This breakthrough represents a fundamental shift in inertial sensing architecture, replacing traditional electrostatic actuation with a purely optical approach. In this novel design, the HRG’s resonator flexural mode is both excited and measured using light alone. By eliminating conventional electrode-based capacitive excitation and readout, the system removes the need for electrostatic actuation electrodes entirely. Traditional HRGs rely on electrodes to induce and measure motion within the resonator. These components add complexity, introduce potential sources of noise and drift, and impose design constraints. Quantum X Labs’ optical approach addresses these challenges by: Eliminating electrode structures from the resonator assembly; Reducing system complexity and potential failure points; Enabling intrinsic electrical isolation; Creating a pathway toward next-generation photonic inertial systems. The demonstration validates the feasibility of fully optical excitation and sensing in precision gyroscopes—an advancement that could have far-reaching implications for navigation systems in aerospace, defense, and autonomous platforms, particularly in environments where electromagnetic interference or electrical isolation is critical.お知らせ • Jun 06Quantum X Labs Inc. Announces Appointment of Prof. Oren Raz to Scientific Advisory BoardQuantum X Labs Inc. announced the appointment of Prof. Oren Raz of the Weizmann Institute of Science to its Scientific Advisory Board. Prof. Oren Raz is a faculty member in the Department of Physics of Complex Systems at the Weizmann Institute of Science, Rehovot, Israel. His research is focused on non-equilibrium physical systems that operate far from thermal equilibrium, a domain of fundamental importance to the practical operation of quantum computing hardware. Prof. Raz's published work has accumulated over 2,600 citations, reflecting the breadth and impact of his contributions across quantum physics, statistical mechanics, and quantum information.決済の安定と成長配当データの取得安定した配当: 4P1の 1 株当たり配当が過去に安定していたかどうかを判断するにはデータが不十分です。増加する配当: 4P1の配当金が増加しているかどうかを判断するにはデータが不十分です。配当利回り対市場Quantum X Labs 配当利回り対市場4P1 配当利回りは市場と比べてどうか？セグメント配当利回り会社 (4P1)n/a市場下位25% (DE)1.5%市場トップ25% (DE)4.7%業界平均 (Media)9.7%アナリスト予想 (4P1) (最長3年)n/a注目すべき配当: 4P1は最近配当金を報告していないため、配当金支払者の下位 25% に対して同社の配当利回りを評価することはできません。高配当: 4P1は最近配当金を報告していないため、配当金支払者の上位 25% に対して同社の配当利回りを評価することはできません。株主への利益配当収益カバレッジ: 4P1の 配当性向 を計算して配当金の支払いが利益で賄われているかどうかを判断するにはデータが不十分です。株主配当金キャッシュフローカバレッジ: 4P1が配当金を報告していないため、配当金の持続可能性を計算できません。高配当企業の発掘7D1Y7D1Y7D1YDE 市場の強力な配当支払い企業。View Management企業分析と財務データの現状データ最終更新日（UTC時間）企業分析2026/07/31 09:08終値2026/07/31 00:00収益2026/03/31年間収益2025/12/31データソース企業分析に使用したデータはS&P Global Market Intelligence LLC のものです。本レポートを作成するための分析モデルでは、以下のデータを使用しています。データは正規化されているため、ソースが利用可能になるまでに時間がかかる場合があります。パッケージデータタイムフレーム米国ソース例会社財務10年損益計算書キャッシュ・フロー計算書貸借対照表SECフォーム10-KSECフォーム10-Qアナリストのコンセンサス予想+プラス3年予想財務アナリストの目標株価アナリストリサーチレポートBlue Matrix市場価格30年株価配当、分割、措置ICEマーケットデータSECフォームS-1所有権10年トップ株主インサイダー取引SECフォーム4SECフォーム13Dマネジメント10年リーダーシップ・チーム取締役会SECフォーム10-KSECフォームDEF 14A主な進展10年会社からのお知らせSECフォーム8-K* 米国証券を対象とした例であり、非米国証券については、同等の規制書式および情報源を使用。特に断りのない限り、すべての財務データは1年ごとの期間に基づいていますが、四半期ごとに更新されます。これは、TTM（Trailing Twelve Month）またはLTM（Last Twelve Month）データとして知られています。詳細はこちら。分析モデルとスノーフレークこのレポートを生成するために使用した分析モデルの詳細は、当社のGitHubページでご覧いただけます。また、レポートの活用方法に関するガイドやYouTubeのチュートリアルも用意しています。シンプリー・ウォールストリート分析モデルを設計・構築した世界トップクラスのチームについてご紹介します。業界およびセクターの指標私たちの業界とセクションの指標は、Simply Wall Stによって6時間ごとに計算されます。アナリスト筋Quantum X Labs Inc. 0 これらのアナリストのうち、弊社レポートのインプットとして使用した売上高または利益の予想を提出したのは、 。アナリストの投稿は一日中更新されます。0
お知らせ • Jul 30Quantum X Labs Demonstrates Complete Quantum-Enabled Clinical Data Analysis Use CaseQuantum X Labs Inc. has announced the successful demonstration of a complete quantum-enabled clinical data analysis use case. The demonstration showcases the company's ability to process real clinical data through an integrated analytical workflow, preparation, quantum-enabled analysis, and generation of biologically and clinically interpretable insights. The workflow was executed using Quantum X's quantum simulation environment designed to emulate quantum computational processes relevant to the Company's analytical platform. Quantum X’s proprietary algorithm platform, operated through its subsidiary, CliniQuantum and protected through the company's intellectual property portfolio and patent filings, is designed to enable quantum-enhanced sampling for continuous probability distributions relevant to advanced statistical analyses of clinical trial and biomedical datasets. The completed End-to-End clinical data analysis demonstrates the platform's ability to take clinical grade data through the full lifecycle of its platform, from secure ingestion and preparation, through quantum based analytical processing, and back to domain relevant interpretability, within a single, integrated framework. This milestone confirms that the platform can support a complete analytical workflow designed to handle complex, high dimensional biomedical data and apply quantum inspired and quantum enabled methods to uncover non obvious structure, while maintaining alignment with downstream scientific interpretation requirements.
お知らせ • Jul 28Quantum X Labs Inc. Launches Quantum Computing Infrastructure Consulting PracticeQuantum X Labs Inc. announced the launch of its Quantum Computing Infrastructure Consulting Practice, a new professional consulting practice designed to assist universities, research institutions, government organizations, national laboratories, and commercial enterprises in designing, assembling, commissioning, and expanding advanced quantum computing infrastructure. The consulting practice is intended to support organizations pursuing the deployment of cold-atom and neutral-atom quantum computing infrastructure, providing expert guidance throughout the entire infrastructure development lifecycle—from initial architectural planning and technical specifications to equipment selection, optical architecture, infrastructure planning, integration, commissioning, and operational readiness. The consulting practice is designed to support infrastructure projects regardless of the quantum computing platform ultimately selected by the customer, while leveraging Quantum X Labs' specialized expertise in cold-atom and neutral-atom technologies. The services provided by Company's consulting practice are expected to initially include: Quantum computing infrastructure architecture and facility planning, Cold-atom infrastructure design, Vacuum, electronics, and control infrastructure planning, Equipment selection and procurement guidance, System integration planning and commissioning support, Experimental workflow optimization, Computing infrastructure expansion and scalability planning.
お知らせ • Jul 24Quantum X Labs Reports Meaningful Error Correction Decoder Results with Nvidia Cuda-Q QecQuantum X Labs has completed development steps with the NVIDIA CUDA-Q Ecosystem. The work is focused on reviewing QXL’s milestone results and draws on NVIDIA accelerated computing, the NVIDIA CUDA-Q QEC software libraries and, as QXL progresses from simulation-based validation toward hardware-derived syndrome data and future real-time decoding. QXL has completed two meaningful development steps. First, the Company executed its Deep Quantum Error Correction (DQEC) workflow on an NVIDIA GPU in an AWS environment and benchmarked its transformer-based QECCT decoder against the classical Minimum-Weight Perfect Matching (MWPM) decoder across controlled toric-code noise configurations. QECCT outperformed MWPM in selected simulated regimes. QXL also tested synthetic surface-code configurations modeled on Google’s public surface-code geometry and experiment structure, spanning multiple code distances. Across these scenarios, the QECCT decoder showed stable logical and bit error rates under varying physical error conditions. These results are intended as an initial step in validating the approach within controlled simulation environments. Future work is expected to focus on extending these evaluations to publicly available experimental datasets and continuing to refine data pipelines and decoder workflows compatible with CUDA-Q QEC frameworks. The broader roadmap also includes QXL’s planned work with IQCC, a Quantum Machines company, to generate hardware-derived syndrome data on superconducting quantum processing hardware. QXL is also reviewing where AI-based pre-decoder workflows using NVIDIA Ising, and low-latency optimization can add the greatest value across these stages of QXL’s roadmap. QXL’s DQEC technology is based on a proprietary transformer architecture that uses QEC code structure and syndrome information to predict logical corrections. The program is intended to support multiple stabilizer-code workflows and to evaluate the decoder as a full decoder, pre-decoder or hybrid component within accelerated QEC systems.
お知らせ • Jul 15Quantum X Labs Validates Continuous-Data Quantum Sampling Workflow And Achieves Significant GPU Acceleration With NVIDIA CUDA-QQuantum X Labs Inc. has successfully validated a quantum sampling workflow that enables continuous probability distributions to be represented and analyzed within a quantum computing framework using Quantum X Labs’ proprietary algorithmic technology and related intellectual property portfolio. The milestone demonstrates the ability to transform continuous data into quantum-compatible energy map representations capable of supporting advanced quantum algorithms. Quantum X Labs developed a proprietary methodology that converts continuous data into an energy landscape representation suitable for quantum computation. This representation enables the application of Quantum Markov Chain Monte Carlo (QMCMC) techniques while preserving the statistical properties of the original dataset. As part of the validation, the team tested the workflow using a multi-modal probability distribution composed of two Gaussian functions. This benchmark was selected because it provides a visually verifiable continuous landscape containing multiple high-probability regions. The resulting samples accurately reproduced the underlying structure of the target distribution, confirming that Quantum X Labs’ energy-map representation effectively captures key probability features while supporting quantum-based sampling. The workflow combines quantum state evolution with a classical Metropolis-Hastings acceptance process. Continuous variables are discretized, transformed into a quantum-compatible energy landscape, and encoded into a problem Hamiltonian. Quantum dynamics are then used to generate proposed samples, while the classical acceptance step preserves the desired target distribution. This hybrid quantum-classical architecture allows continuous data to be explored using quantum-generated proposals while maintaining established statistical guarantees. The implementation was developed and evaluated using the NVIDIA CUDA-Q platform for hybrid quantum-classical computing. Testing was performed on both CPU and GPU simulation environments to assess computational performance. Quantum X Labs observed a reduction in runtime from approximately 9,503 seconds on CPU to approximately 888 seconds on GPU, representing more than a ten-fold improvement in execution speed through GPU acceleration. The successful validation demonstrates both the robustness of Quantum X Labs’ continuous-data quantum representation framework and its compatibility with modern accelerated computing environments. Quantum X Labs believes that efficient methods for representing continuous data in quantum systems will become increasingly important as quantum hardware and hybrid quantum-classical workflows continue to mature.
お知らせ • Jun 25Quantum X Labs Demonstrates First All-Optical Hemispherical Resonator GyroscopeQuantum X Labs Inc. announced a major technological milestone: the successful demonstration of its first fully all-optical Hemispherical Resonator Gyroscope (HRG) in its lab. This breakthrough represents a fundamental shift in inertial sensing architecture, replacing traditional electrostatic actuation with a purely optical approach. In this novel design, the HRG’s resonator flexural mode is both excited and measured using light alone. By eliminating conventional electrode-based capacitive excitation and readout, the system removes the need for electrostatic actuation electrodes entirely. Traditional HRGs rely on electrodes to induce and measure motion within the resonator. These components add complexity, introduce potential sources of noise and drift, and impose design constraints. Quantum X Labs’ optical approach addresses these challenges by: Eliminating electrode structures from the resonator assembly; Reducing system complexity and potential failure points; Enabling intrinsic electrical isolation; Creating a pathway toward next-generation photonic inertial systems. The demonstration validates the feasibility of fully optical excitation and sensing in precision gyroscopes—an advancement that could have far-reaching implications for navigation systems in aerospace, defense, and autonomous platforms, particularly in environments where electromagnetic interference or electrical isolation is critical.
お知らせ • Jun 06Quantum X Labs Inc. Announces Appointment of Prof. Oren Raz to Scientific Advisory BoardQuantum X Labs Inc. announced the appointment of Prof. Oren Raz of the Weizmann Institute of Science to its Scientific Advisory Board. Prof. Oren Raz is a faculty member in the Department of Physics of Complex Systems at the Weizmann Institute of Science, Rehovot, Israel. His research is focused on non-equilibrium physical systems that operate far from thermal equilibrium, a domain of fundamental importance to the practical operation of quantum computing hardware. Prof. Raz's published work has accumulated over 2,600 citations, reflecting the breadth and impact of his contributions across quantum physics, statistical mechanics, and quantum information.