View Future GrowthQuantum X Labs 과거 순이익 실적과거 기준 점검 0/6Quantum X Labs 의 수입은 연평균 -57.8%의 비율로 감소해 온 반면, Media 산업은 연평균 4.3%의 비율로 증가했습니다. 매출은 연평균 22.1%의 비율로 감소해 왔습니다.핵심 정보-57.84%순이익 성장률-37.60%주당순이익(EPS) 성장률Media 산업 성장률-2.36%매출 성장률-22.09%자기자본이익률-50.91%순이익률-695.26%최근 순이익 업데이트31 Mar 2026최근 과거 실적 업데이트업데이트 없음모든 업데이트 보기Recent updates공고 • 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.공고 • 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.공고 • 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.공고 • 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.공고 • 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.공고 • 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.매출 및 비용 세부 내역Quantum X Labs가 돈을 벌고 사용하는 방법. 최근 발표된 LTM 실적 기준.순이익 및 매출 추이DB:4P1 매출, 비용 및 순이익 (USD Millions)날짜매출순이익일반관리비연구개발비31 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 170000양질의 수익: 4P1 은(는) 현재 수익성이 없습니다.이익 마진 증가: 4P1는 현재 수익성이 없습니다.잉여현금흐름 대비 순이익 분석과거 순이익 성장 분석수익추이: 4P1은 수익성이 없으며 지난 5년 동안 손실이 연평균 57.8% 증가했습니다.성장 가속화: 현재 수익성이 없어 지난 1년간 4P1의 수익 성장률을 5년 평균과 비교할 수 없습니다.수익 대 산업: 4P1은 수익성이 없어 지난 해 수익 성장률을 Media 업계(-14.9%)와 비교하기 어렵습니다.자기자본이익률높은 ROE: 4P1는 현재 수익성이 없으므로 자본 수익률이 음수(-50.91%)입니다.총자산이익률투하자본수익률우수한 과거 실적 기업을 찾아보세요7D1Y7D1Y7D1YMedia 산업에서 과거 실적이 우수한 기업.View Financial Health기업 분석 및 재무 데이터 상태데이터최종 업데이트 (UTC 시간)기업 분석2026/07/31 23:39종가2026/07/31 00:00수익2026/03/31연간 수익2025/12/31데이터 소스당사의 기업 분석에 사용되는 데이터는 S&P Global Market Intelligence LLC에서 제공됩니다. 아래 데이터는 이 보고서를 생성하기 위해 분석 모델에서 사용됩니다. 데이터는 정규화되므로 소스가 제공된 후 지연이 발생할 수 있습니다.패키지데이터기간미국 소스 예시 *기업 재무제표10년손익계산서현금흐름표대차대조표SEC 양식 10-KSEC 양식 10-Q분석가 컨센서스 추정치+3년재무 예측분석가 목표주가분석가 리서치 보고서Blue Matrix시장 가격30년주가배당, 분할 및 기타 조치ICE 시장 데이터SEC 양식 S-1지분 구조10년주요 주주내부자 거래SEC 양식 4SEC 양식 13D경영진10년리더십 팀이사회SEC 양식 10-KSEC 양식 DEF 14A주요 개발10년회사 공시SEC 양식 8-K* 미국 증권에 대한 예시이며, 비(非)미국 증권에는 해당 국가의 규제 서식 및 자료원을 사용합니다.별도로 명시되지 않는 한 모든 재무 데이터는 연간 기간을 기준으로 하지만 분기별로 업데이트됩니다. 이를 TTM(최근 12개월) 또는 LTM(지난 12개월) 데이터라고 합니다. 자세히 알아보기.분석 모델 및 스노우플레이크이 보고서를 생성하는 데 사용된 분석 모델의 세부 정보는 당사의 GitHub 페이지에서 확인하실 수 있습니다. 또한 보고서 사용 방법에 대한 가이드와 YouTube 튜토리얼도 제공하고 있습니다.Simply Wall St 분석 모델을 설계하고 구축한 세계적 수준의 팀에 대해 알아보세요.산업 및 섹터 지표산업 및 섹터 지표는 Simply Wall St가 6시간마다 계산하며, 프로세스에 대한 자세한 내용은 Github에서 확인할 수 있습니다.분석가 소스Quantum X Labs Inc.는 0명의 분석가가 다루고 있습니다. 이 중 0명의 분석가가 우리 보고서에 입력 데이터로 사용되는 매출 또는 수익 추정치를 제출했습니다. 분석가의 제출 자료는 하루 종일 업데이트됩니다.
공고 • 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.
공고 • 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.
공고 • 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.
공고 • 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.
공고 • 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.
공고 • 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.