View Future GrowthQuantum X Labs 過去の業績過去 基準チェック /06Quantum X Labsの収益は年間平均-57.8%の割合で減少していますが、 Media業界の収益は年間 増加しています。収益は年間4.3% 22.1%割合で 減少しています。主要情報-57.84%収益成長率-37.60%EPS成長率Media 業界の成長-2.36%収益成長率-22.09%株主資本利益率-50.91%ネット・マージン-695.26%前回の決算情報31 Mar 2026最近の業績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.収支内訳Quantum X Labs の稼ぎ方とお金の使い方。LTMベースの直近の報告された収益に基づく。収益と収入の歴史DB:4P1 収益、費用、利益 ( )USD Millions日付収益収益G+A経費研究開発費31 Mar 261-102031 Dec 252-122030 Sep 25-13-111-130 Jun 25-10-81031 Mar 25-5-31031 Dec 245-22130 Sep 2439-145230 Jun 2449-155331 Mar 2469-86331 Dec 2380-76330 Sep 2394-16330 Jun 2310105331 Mar 239705331 Dec 229705330 Sep 228704330 Jun 227304331 Mar 226604331 Dec 214503230 Sep 212402230 Jun 211601131 Mar 21000031 Dec 20000030 Sep 200-11030 Jun 200-11031 Mar 200-11031 Dec 190-11030 Sep 190-11030 Jun 190-11031 Mar 190-11031 Dec 180-10031 Dec 170000質の高い収益: 4P1は現在利益が出ていません。利益率の向上: 4P1は現在利益が出ていません。フリー・キャッシュフローと収益の比較過去の収益成長分析収益動向: 4P1は利益が出ておらず、過去 5 年間で損失は年間57.8%の割合で増加しています。成長の加速: 4P1の過去 1 年間の収益成長を 5 年間の平均と比較することはできません。現在は利益が出ていないためです。収益対業界: 4P1は利益が出ていないため、過去 1 年間の収益成長をMedia業界 ( -14.9% ) と比較することは困難です。株主資本利益率高いROE: 4P1は現在利益が出ていないため、自己資本利益率 ( -50.91% ) はマイナスです。総資産利益率使用総資本利益率過去の好業績企業の発掘7D1Y7D1Y7D1YMedia 、過去の業績が好調な企業。View Financial Health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 00:23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.