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QXL

Quantum X LabsF
Nasdaq / Media & Entertainment
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2026-08-21
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Earnings documents stored for QXL.

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Investor releaseQuarter not tagged2026-08-21

Quantum X Labs Announces Additional Advancement in Quantum Error Correction Using NVIDIA CUDA-Q with New Results on Google’s Dataset

GlobeNewswire
QXL’s updated AI-driven decoder demonstrated improved performance supporting the Company’s roadmap toward reliable fault-tolerant quantum computing Tel Aviv, Aug. 21, 2026 (GLOBE NEWSWIRE) -- Quantum X Labs Inc. (Nasdaq: QXL) (“Quantum X” or the “Company”), an advanced technologies company, today announced new results from its AI-driven quantum error-correction program, advancing the Company’s roadmap toward trusted quantum error correction for future fault-tolerant quantum computing. Quantum computers are highly sensitive to noise, and quantum error correction is widely viewed as a necessary foundation for scaling quantum systems from experimental demonstrations toward reliable, useful computation. QXL’s work is focused on one of the central challenges in this transition: developing AI-assisted decoders that can interpret quantum syndrome data efficiently and accurately, and that can continue improving as quantum hardware advances. The latest results were generated using Google’s public surface-code dataset from a real quantum-hardware experiment. QXL evaluated its updated decoder on a public surface-code configuration using the same cross-validation approach used for Google’s published decoder comparisons. In this test, QXL’s updated decoder demonstrated improved performance against matching-family benchmarks, including Google’s published correlated-matching and PyMatching benchmark results for the same configuration. Importantly, QXL’s model was trained exclusively on synthetic samples and was not trained on real hardware shots from the Google dataset. The result supports a key principle behind QXL’s technical roadmap: quantum error-correction decoders should not only perform well in controlled simulations, but should also be able to generalize toward real experimental syndrome data. This synthetic-to-real transition is a critical step toward practical QEC workflows that can support future low-latency and eventually real-time decoding. “These results are important because they bring us closer to the point where AI-driven quantum error correction can be evaluated against real hardware behavior, not only simulation,” said Prof. Nir Sharon, Chief Quantum Technology Scientist at Quantum X Labs. “Our updated decoder improved performance against matching-family benchmarks in this experiment while training only on synthetic data. That is a meaningful validation…Read full document

QXL’s updated AI-driven decoder demonstrated improved performance supporting the Company’s roadmap toward reliable fault-tolerant quantum computing Tel Aviv, Aug. 21, 2026 (GLOBE NEWSWIRE) -- Quantum X Labs Inc. (Nasdaq: QXL) (“Quantum X” or the “Company”), an advanced technologies company, today announced new results from its AI-driven quantum error-correction program, advancing the Company’s roadmap toward trusted quantum error correction for future fault-tolerant quantum computing. Quantum computers are highly sensitive to noise, and quantum error correction is widely viewed as a necessary foundation for scaling quantum systems from experimental demonstrations toward reliable, useful computation. QXL’s work is focused on one of the central challenges in this transition: developing AI-assisted decoders that can interpret quantum syndrome data efficiently and accurately, and that can continue improving as quantum hardware advances. The latest results were generated using Google’s public surface-code dataset from a real quantum-hardware experiment. QXL evaluated its updated decoder on a public surface-code configuration using the same cross-validation approach used for Google’s published decoder comparisons. In this test, QXL’s updated decoder demonstrated improved performance against matching-family benchmarks, including Google’s published correlated-matching and PyMatching benchmark results for the same configuration. Importantly, QXL’s model was trained exclusively on synthetic samples and was not trained on real hardware shots from the Google dataset. The result supports a key principle behind QXL’s technical roadmap: quantum error-correction decoders should not only perform well in controlled simulations, but should also be able to generalize toward real experimental syndrome data. This synthetic-to-real transition is a critical step toward practical QEC workflows that can support future low-latency and eventually real-time decoding. “These results are important because they bring us closer to the point where AI-driven quantum error correction can be evaluated against real hardware behavior, not only simulation,” said Prof. Nir Sharon, Chief Quantum Technology Scientist at Quantum X Labs. “Our updated decoder improved performance against matching-family benchmarks in this experiment while training only on synthetic data. That is a meaningful validation point for our roadmap toward trusted quantum error correction. At the same time, we remain disciplined: this is one benchmark configuration, and our next objective is to replicate and extend the result across additional device centers and code configurations.” QXL’s updated decoder combines quantum-code structure, syndrome information and AI-based error weighting to improve decoder performance while preserving a practical path toward efficient implementation. The latest result supports the relevance of this approach for real-hardware syndrome data and scalable QEC workflows. The AI component is designed for GPU acceleration and integration into broader QEC workflows, supporting QXL’s roadmap toward low-latency and eventually real-time decoding. This roadmap includes real-hardware data evaluation, workflows with NVIDIA accelerated computing and NVIDIA CUDA-Q and planned IQCC syndrome experiments to advance more reliable and scalable quantum-computing systems. Quantum X Labs Inc. Quantum X Labs Inc. and its subsidiaries are focused on quantum technology, digital advertising and computing and enterprise artificial intelligence (AI) solutions. Quantum X Labs Ltd. is focused on developing and promoting quantum algorithms for the transportation, drug discovery and security segments as well as developing quantum- based GPS replacement and quantum atom accuracy solutions. Gix Media develops a variety of technological software solutions, which perform automation, optimization and monetization of internet campaigns, for the purposes of acquiring and routing internet user traffic to its customers. Metagramm is a developer of grammatical error correction software and offers tools for writing and reviewing, grammar, spelling, punctuation and style features, as well as translation and multilingual dictionaries, using artificial intelligence and machine learning technology. For more information about Quantum X Labs, visit https://quantumxlabs.xyz/ Forward-Looking Statements This press release contains forward-looking statements within the meaning of the “safe harbor” provisions of the Private Securities Litigation Reform Act of 1995 and other Federal securities laws. Forward-looking statements contained in this press release include, but are not limited to, statements regarding Quantum X Labs’ and its subsidiaries’ strategic and business plans, technology, relationships, objectives and expectations, including advancing the Company’s roadmap toward trusted quantum error correction for future fault-tolerant quantum computing and its objective to replicate and extend the result across additional device centers and code configurations. Forward-looking statements are not historical facts and are based on management’s current expectations, beliefs and projections, many of which are inherently uncertain. Actual results may differ materially from those expressed or implied by these statements. For a more detailed description of the risks and uncertainties affecting the Company, reference is made to the Company’s reports filed from time to time with the Securities and Exchange Commission, including the Company’s most recent Annual Report and subsequent filings. The Company assumes no obligation to update forward-looking statements except as required by applicable law. References and links to websites are provided as a convenience, and the information contained on such websites is not incorporated by reference into this press release. Quantum X Labs is not responsible for the contents of third-party websites. Investor Relations Contact Michal EfratyInvestor [email protected]

Investor releaseQuarter not tagged2026-08-20

Quantum X Swings to Earnings in Q2 on Lower Financial Costs

Zacks
Shares of Quantum X Labs Inc. QXL have gained 9.3% since the company reported its earnings for the quarter ended June 30, 2026, outperforming the S&P 500 index’s 0.6% decline over the same period. Over the past month, however, the stock has fallen 4.6%, compared with the S&P 500’s 2.2% increase. Quantum X Labs reported second-quarter 2026 earnings of 12 cents per share against a loss of $1.61 per share. Revenues of $0.3 million denoted a 20.8% decline from $0.4 million in the year-ago quarter. Net income was $2.4 million, reversing a net loss of $12.4 million a year earlier. Net income attributable to Quantum X Labs shareholders totaled $2.5 million versus a loss of $11.7 million. Operating loss widened to $1.4 million from $1 million. Quantum X Labs Inc. price | Quantum X Labs Inc. Quote Revenues from Gix Media’s Search Platform declined 20.1% to $0.3 million from $0.4 million. Within that business, direct-model revenues fell 41.5% to $0.2 million, while the indirect model generated $0.08 million compared with no revenues a year earlier, supported by third-party strategic partners. Traffic-acquisition and related costs increased 168% to $0.1 million. Research and development expenses surged to $0.2 million from $0.02 million, while general and administrative expenses increased 81.9% to $1 million. Depreciation and amortization edged down to $0.2 million. Liquidity remained a consideration. At June 30, 2026, Quantum X Labs held $2.4 million in cash and cash equivalents, up from $1 million as of Dec. 31, 2025. Management said the company had $1.9 million of bank and convertible loans and an accumulated deficit of $44.2 million. Total assets increased to $31.2 million from $10.8 million over the same period, while total equity climbed to $25.8 million from $5 million. For the six months ended June 30, 2026, net cash used in operating activities from continuing operations widened to $1.7 million from $0.3 million in the year-ago period. Management attributed the decline in direct-model revenues to changes and updates in internet-browser technology that reduced the scale of product distribution. Conversely, indirect-model revenues benefited from third-party strategic partners. The acquisition of Quantum Israel drove the substantial increase in R&D expenses and contributed to higher G&A costs, alongside increased professional-services expenses following the compa…Read full document

Shares of Quantum X Labs Inc. QXL have gained 9.3% since the company reported its earnings for the quarter ended June 30, 2026, outperforming the S&P 500 index’s 0.6% decline over the same period. Over the past month, however, the stock has fallen 4.6%, compared with the S&P 500’s 2.2% increase. Quantum X Labs reported second-quarter 2026 earnings of 12 cents per share against a loss of $1.61 per share. Revenues of $0.3 million denoted a 20.8% decline from $0.4 million in the year-ago quarter. Net income was $2.4 million, reversing a net loss of $12.4 million a year earlier. Net income attributable to Quantum X Labs shareholders totaled $2.5 million versus a loss of $11.7 million. Operating loss widened to $1.4 million from $1 million. Quantum X Labs Inc. price | Quantum X Labs Inc. Quote Revenues from Gix Media’s Search Platform declined 20.1% to $0.3 million from $0.4 million. Within that business, direct-model revenues fell 41.5% to $0.2 million, while the indirect model generated $0.08 million compared with no revenues a year earlier, supported by third-party strategic partners. Traffic-acquisition and related costs increased 168% to $0.1 million. Research and development expenses surged to $0.2 million from $0.02 million, while general and administrative expenses increased 81.9% to $1 million. Depreciation and amortization edged down to $0.2 million. Liquidity remained a consideration. At June 30, 2026, Quantum X Labs held $2.4 million in cash and cash equivalents, up from $1 million as of Dec. 31, 2025. Management said the company had $1.9 million of bank and convertible loans and an accumulated deficit of $44.2 million. Total assets increased to $31.2 million from $10.8 million over the same period, while total equity climbed to $25.8 million from $5 million. For the six months ended June 30, 2026, net cash used in operating activities from continuing operations widened to $1.7 million from $0.3 million in the year-ago period. Management attributed the decline in direct-model revenues to changes and updates in internet-browser technology that reduced the scale of product distribution. Conversely, indirect-model revenues benefited from third-party strategic partners. The acquisition of Quantum Israel drove the substantial increase in R&D expenses and contributed to higher G&A costs, alongside increased professional-services expenses following the company’s Nasdaq uplisting. The quarter’s reported profit was heavily influenced by a $3.8 million gain from the deconsolidation of CliniQuantum after Quantum Israel lost control of the business. Net financial expenses also fell sharply to $0.1 million from $7.7 million, primarily because the prior-year period included expenses tied to financial instruments measured at fair value. Other expenses decreased to $0.1 million from $0.5 million. Quantum X Labs said its quantum strategy uses separate operating entities to diversify technical risk, pursue tailored commercialization plans, share intellectual property and facilitate partnerships with academic institutions, government laboratories and industry participants. Management is also responding to liquidity pressures through reductions in salaries, professional services and other operating expenses while pursuing new partnerships and income sources. Management anticipates that revenues from internet-browser add-ons will continue to decline because of browser technology changes. Quantum X Labs completed its acquisition of Quantum Israel on March 4, 2026, making it a wholly owned subsidiary and expanding the company into quantum computing, sensing, navigation and security. During June, a third party acquired 54% of CliniQuantum, causing Quantum Israel to lose control. Quantum X Labs subsequently accounted for its remaining CliniQuantum investment under the equity method at a fair value of $3.8 million and recognized the related $3.8 million deconsolidation gain. Want the latest recommendations from Zacks Investment Research? Today, you can download 7 Best Stocks for the Next 30 Days. Click to get this free report Quantum X Labs Inc. (QXL): Free Stock Analysis Report This article originally published on Zacks Investment Research (zacks.com). Zacks Investment Research

Investor releaseQuarter not tagged2026-07-24

Quantum X Labs Reports Meaningful Error Correction Decoder Results with NVIDIA CUDA-Q QEC

GlobeNewswire
Quantum X Labs has completed development steps with the NVIDIA CUDA-Q Ecosystem Tel Aviv, Israel, July 24, 2026 (GLOBE NEWSWIRE) -- Quantum X Labs Inc. (Nasdaq: QXL) (“Quantum X” or the “Company”), an advanced technologies company, today announced progress on its technical roadmap for its AI-driven quantum error-correction program. 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. “These results are meaningful because they move our program from cloud deployment into measured decoder performance and a surface-code data pipeline,” said Prof. Nir Sharon, Chief Quantum Technology Scientist at Quantum X Labs. “We are accelerating QXL’s roadmap with NVIDIA accelerated computing, CUDA-Q QEC and low-latency QEC expertise, while IQCC provides the path to hardware-derived syndrome data. This staged approach is designe…Read full document

Quantum X Labs has completed development steps with the NVIDIA CUDA-Q Ecosystem Tel Aviv, Israel, July 24, 2026 (GLOBE NEWSWIRE) -- Quantum X Labs Inc. (Nasdaq: QXL) (“Quantum X” or the “Company”), an advanced technologies company, today announced progress on its technical roadmap for its AI-driven quantum error-correction program. 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. “These results are meaningful because they move our program from cloud deployment into measured decoder performance and a surface-code data pipeline,” said Prof. Nir Sharon, Chief Quantum Technology Scientist at Quantum X Labs. “We are accelerating QXL’s roadmap with NVIDIA accelerated computing, CUDA-Q QEC and low-latency QEC expertise, while IQCC provides the path to hardware-derived syndrome data. This staged approach is designed to move us from offline benchmarking toward practical real-time QEC.” 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. Quantum X Labs Inc. Quantum X Labs Inc. and its subsidiaries are focused on quantum technology, digital advertising and computing and enterprise artificial intelligence (AI) solutions. Quantum X Labs Ltd. is focused on developing and promoting quantum algorithms for the transportation, drug discovery and security segments as well as developing quantum- based GPS replacement and quantum atom accuracy solutions. Gix Media develops a variety of technological software solutions, which perform automation, optimization and monetization of internet campaigns, for the purposes of acquiring and routing internet user traffic to its customers. Metagramm is a developer of grammatical error correction software and offers tools for writing and reviewing, grammar, spelling, punctuation and style features, as well as translation and multilingual dictionaries, using artificial intelligence and machine learning technology. For more information about Quantum X Labs, visit https://quantumxlabs.xyz/ Forward-Looking Statements This press release contains forward-looking statements within the meaning of the “safe harbor” provisions of the Private Securities Litigation Reform Act of 1995 and other Federal securities laws. Forward-looking statements contained in this press release include, but are not limited to, statements regarding Quantum X Labs’ and its subsidiaries’ strategic and business plans, technology, relationships, objectives and expectations for its business, growth, the impact of trends on and interest in its business, intellectual property, products and its future results, operations and financial performance and condition and may be identified by the use of words such as “may,” “seek,” “will,” “consider,” “likely,” “assume,” “estimate,” “expect,” “anticipate,” “intend,” “believe,” “do not believe,” “aim,” “predict,” “plan,” “project,” “continue,” “potential,” “guidance,” “objective,” “outlook,” “trends,” “future,” “could,” “would,” “should,” “target,” “on track” or their negatives or variations, and similar terminology and words of similar import, generally involve future or forward-looking statements. For example, the Company is using forward-looking statements when it discusses how its future work is expected to focus on extending evaluations to publicly available experimental datasets and continuing to refine data pipelines and decoder workflows compatible with CUDA-Q QEC frameworks, accelerating QXL’s roadmap with NVIDIA accelerated computing, CUDA-Q QEC and low-latency QEC expertise and moving from offline benchmarking toward practical real-time QEC. Forward-looking statements are not historical facts, and are based upon management’s current expectations, beliefs and projections, many of which, by their nature, are inherently uncertain. Such expectations, beliefs and projections are expressed in good faith. However, there can be no assurance that management’s expectations, beliefs and projections will be achieved, and actual results may differ materially from what is expressed in or indicated by the forward-looking statements. Forward-looking statements are subject to risks and uncertainties that could cause actual performance or results to differ materially from those expressed in the forward-looking statements. For a more detailed description of the risks and uncertainties affecting the Company, reference is made to the Company’s reports filed from time to time with the Securities and Exchange Commission (“SEC”), including, but not limited to, the risks detailed in the Company’s most recent Annual Report on 10-K and in subsequent filings with the SEC. Forward-looking statements speak only as of the date the statements are made. The Company assumes no obligation to update forward-looking statements to reflect actual results, subsequent events or circumstances, changes in assumptions or changes in other factors affecting forward-looking information except to the extent required by applicable securities laws. If the Company does update one or more forward-looking statements, no inference should be drawn that the Company will make additional updates with respect thereto or with respect to other forward-looking statements. References and links to websites have been provided as a convenience, and the information contained on such websites is not incorporated by reference into this press release. Quantum X Labs is not responsible for the content of third-party websites. Investor Relations Contacts: Michal EfratyInvestor [email protected]

As of 2026-08-22 • Updated weeklySource: Earnings sourceIngestion runbook