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Gix Internet: Quantum X Labs Achieved Key Milestones with NVIDIA CUDA-Q Decoder and IBM Quantum Hardware

The results concern a minority investment: Gix holds approximately 13% of QXL and does not control its operations or strategy.

(Very High)

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Rhea-AI Sentiment reads the wording of the document, how positive or negative its language is on a 1 to 5 scale. The balance of points shown with the takes weighs what the document actually discloses, so the two can disagree, for example when a trial that missed its main goal is described in upbeat language.

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Gix Internet (GIXI) announced two quantum-computing technology milestones at Quantum X Labs, in which it holds an approximately 13% stake.

QXL’s error-correction decoder is running on NVIDIA CUDA-Q. On Google’s public hardware dataset, it made 12.7% fewer logical errors than the standard PyMatching decoder at code distance 3 and 12.1% fewer at distance 5. A separate streaming evaluation showed approximately 6% and 9% lower observed logical error rates, respectively.

QuantumQ Security’s LayerQake reduced measurement bias from approximately 11%–15% to below 6% and maximum cumulative error 15- to 21-fold across three IBM processors. QXL plans a real-time error-correction test using an NVIDIA NVQLink connection. Gix does not control QXL and has not independently verified its reported technical results.

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Positive

  • Minor pointQXL’s quantum error-correction decoder is deployed and running on NVIDIA CUDA-Q.
  • Minor pointDecoder tests showed 12.7% and 12.1% fewer logical errors than PyMatching at code distances 3 and 5, respectively.
  • Minor pointStreaming tests showed observed logical error rates approximately 6% and 9% lower at distances 3 and 5, respectively.
  • Minor pointLayerQake reduced measurement bias from approximately 11%–15% to below 6% on each of three IBM processors.
  • Minor pointLayerQake reduced maximum cumulative error 15- to 21-fold across three IBM processors.
  • Minor point. Forward-looking: it has not happened yet and may not happen.QXL plans to run its decoder in a real-time error-correction pipeline using an NVIDIA NVQLink connection.

Negative

  • Minor pointGix has not independently verified QXL’s reported technical test results.
  • Minor pointGix’s approximately 13% minority interest provides no control over QXL’s business, operations or strategy.
Argus 15 min delay 24 alerts
+8.75% vs previous close $4.35 last price 5324.9x rel. volume Open Argus
Details

Market move: GIXI +8.75% vs previous close. Quantum decoder milestones

+45.9% Peak Tracked
-2.9% Trough Tracked
$3.74 – $6.10 Day Range
$10.84M Mkt Cap at Last Price

On Oct 22, the day this news came out, the latest delayed price for GIXI is 8.75% above the previous close. Argus tracked a peak move of +45.9% during the session. Argus tracked a trough of -2.9% from its starting point during tracking. Our momentum scanner has recorded 24 alerts for this stock so far that day. The latest delayed price is $4.35. Relative volume is exceptionally heavy at 5324.9x the average.

Data tracked by StockTitan Argus (15 min delayed). Upgrade to Gold for real-time data.

Key Figures

Gix ownership in Quantum X Labs: Approximately 13% (2,818,585 shares) Logical errors at code distance 3: 12.7% fewer Logical errors at code distance 5: 12.1% fewer +5 more
Gix ownership in Quantum X Labs
Approximately 13% (2,818,585 shares)
Minority interest; Gix says it does not control QXL
Logical errors at code distance 3
12.7% fewer
QXL decoder versus PyMatching on Google public surface-code data
Logical errors at code distance 5
12.1% fewer
QXL decoder versus PyMatching on Google public surface-code data
Streaming logical error rate at distance 3
Approximately 6% lower
25-round streaming evaluation versus PyMatching
Streaming logical error rate at distance 5
9% lower
25-round streaming evaluation versus PyMatching
Measurement bias
Approximately 11% to 15% to below 6%
LayerQake results on each of three IBM quantum processors
Maximum cumulative error
15- to 21-fold reduction
LayerQake experimental validation on three IBM quantum processors
IBM quantum processors tested
3
LayerQake experimental validation

Key Terms

quantum error-correction, surface-code, logical errors, measurement bias
4 terms
quantum error-correction technical
"Quantum X Labs announced that its quantum error-correction (QEC) decoder is now deployed"
A set of techniques used to detect and fix mistakes that naturally occur inside quantum computers, which are very sensitive to tiny disturbances. Think of it as a digital insurance policy and repair crew that keeps fragile quantum data usable over time. For investors, effective quantum error-correction is a key milestone because it determines whether quantum devices can perform reliable, large-scale tasks and thus whether companies in the field can deliver commercially valuable products.
surface-code technical
"Google’s public surface-code dataset"
A surface code is a leading method for protecting quantum bits (the basic units of quantum computers) from errors by arranging them in a two‑dimensional grid and using nearby bits to detect and correct mistakes. Think of it as a built‑in safety net or redundant sensor array that lets a fragile machine keep working reliably. For investors, progress with surface‑code implementations signals how close a company is to building scalable, fault‑tolerant quantum computers—affecting technology timelines, capital needs, and competitive value.
logical errors technical
"the QXL decoder made 12.7% fewer logical errors than PyMatching"
A logical error is a flaw in the chain of reasoning or in the rules that control a process or program, causing outputs, decisions, or behavior that are internally inconsistent or incorrect even when the underlying facts or code syntax may be correct. It covers mistakes in argument or analysis (wrong inference from given premises) and mistakes in program logic (incorrect conditional rules or control flow), and is distinct from factual errors (wrong data) and syntax errors (code that fails to run).
measurement bias technical
"LayerQake reduced measurement bias from approximately 11% to 15% to below 6%"
A systematic error that makes measurements consistently differ from the true value or intended target; it arises from flawed instruments, biased data-collection methods, nonrepresentative sampling, or incorrect protocols. Unlike random error, measurement bias shifts results in a predictable direction (for example consistently too high or too low), which can distort reported metrics, regulatory filings, clinical endpoints, or accounting estimates until the measurement process is corrected.

AI-generated analysis. How Rhea-AI works. Not financial advice.

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Quantum X Labs’ QEC decoder delivers 12–13% fewer logical errors on NVIDIA CUDA-Q using Google hardware data; LayerQake reduces maximum cumulative error 15- to 21-fold and measurement bias to below 6% across three IBM quantum processors

TEL AVIV, Israel, Oct. 22, 2026 (GLOBE NEWSWIRE) -- Gix Internet Ltd. (Nasdaq: GIXI; TASE: GIX) (“Gix” or the “Company”), a dual-listed technology company, today announced two recent technology milestones reported by Quantum X Labs Inc. (“Quantum X Labs” or “QXL”), in which Gix holds approximately 13% (2,818,585 shares).

Quantum X Labs announced that its quantum error-correction (QEC) decoder is now deployed and running on NVIDIA CUDA-Q, the open platform for hybrid quantum-classical supercomputing. Leveraging the CUDA-Q QEC library, the decoder made 12–13% fewer logical errors than the platform’s standard matching decoder (PyMatching) on Google’s publicly released quantum hardware data. In tests on Google’s public surface-code dataset (10,000 held-out runs of five error-correction rounds at code distances 3 and 5), the QXL decoder made 12.7% fewer logical errors than PyMatching at distance 3 and 12.1% fewer at distance 5. In a separate 25-round streaming evaluation designed to receive error data round by round, the streaming decoder achieved an observed logical error rate approximately 6% lower than PyMatching at distance 3 and 9% lower at distance 5. “This milestone demonstrates that QXL’s decoder technology can operate within a leading quantum computing software environment and deliver encouraging results on real experimental data,” said Prof. Nir Sharon, Chief Scientist of Quantum X Labs. Quantum X Labs plans, as a next step, to run the decoder in a real-time QEC pipeline on a system utilizing an NVIDIA NVQLink connection.

In addition, Quantum X Labs’ quantum cybersecurity operation, QuantumQ Security, reported the experimental validation of its LayerQake technology on three operational IBM quantum processors: ibm_fez, ibm_kingston and ibm_marrakesh. In a pre-registered, reproducible test that met both of QXL’s predefined success criteria on all three processors, LayerQake reduced measurement bias from approximately 11% to 15% to below 6% on each of the three processors and demonstrated a 15- to 21-fold reduction in maximum cumulative error. These improvements were achieved using LayerQake’s problem-independent calibration approach, which is designed to mitigate hardware-induced inaccuracies without requiring a calibration methodology tailored to each individual computational problem.

Gix Internet holds a minority interest in QXL and does not control QXL's business, operations or strategy, and there can be no assurance that any technological or commercial progress by QXL will result in any benefit to Gix Internet or its shareholders. Gix has not independently verified the technical test results reported by QXL.

About 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/

About Gix Internet Ltd.

Gix Internet Ltd. is a technology company that is listed on the Nasdaq Capital Market under the symbol GIXI and on the Tel Aviv Stock Exchange under the symbol GIX. Its operating focus is deliverz.ai, a wholly-owned company that develops an AI-powered management and orchestration layer for robots, people and autonomous systems, commercially proven today in hospital logistics. The platform combines management software with autonomous mobile robots and human couriers to schedule and assign internal deliveries in real time - by location, priority and availability - from a central operations system. It is built for last-mile movement inside complex, high-traffic facilities such as hospitals, is in commercial use at Sheba Medical Center, and is being introduced to U.S. healthcare organizations. Gix’s broader strategy is to extend the same management architecture to additional autonomous systems and complex physical operating environments. Gix also holds a strategic minority stake in Quantum X Labs Inc., a separately listed company. For more information, visit https://www.gix-internet.com/.

About deliverz.ai

deliverz.ai is defining the future of healthcare logistics automation with an end-to-end, AI-powered orchestration platform that unifies autonomous robots, human transport teams, and hospital workflows into a single intelligent system. Robot-agnostic and built to scale, deliverz.ai automates and optimizes logistics across any workflow and within any environment, increasing throughput, reducing costs, and improving both patient and staff experience. Delivered through a flexible Software as a Service (SaaS) and Robotics as a Service (RaaS) model, deliverz.ai provides the intelligent logistics backbone for hospitals, making operations smarter, faster, and patient-centered. For more information, visit https://www.deliverz.ai

Forward-Looking Statements

This press release contains “forward-looking statements” within the meaning of the Private Securities Litigation Reform Act and other securities laws. Forward-looking statements contained in this press release include, but are not limited to, statements regarding Gix’s 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 QXL’s plans to run its QEC decoder in a real-time QEC pipeline on a system utilizing an NVIDIA NVQLink connection; the potential of QXL’s QEC decoder and LayerQake technologies to reduce logical errors, measurement bias and cumulative errors and improve the reliability of quantum computing results; and the further development, validation and potential commercialization of QXL’s quantum computing and quantum cybersecurity technologies. The reported test results may not be replicated in further testing or in other environments, and there can be no assurance that QXL’s QEC decoder or LayerQake technologies will be successfully developed, validated or commercialized. 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 registration statement on Form 20-F (File No. 001-43362), as amended, as filed with the SEC on June 18, 2026, and in subsequent filings with the SEC. For a description of risks affecting QXL, reference is made to QXL’s 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. Gix is not responsible for the content of third-party websites. IBM, IBM Quantum and the names of IBM quantum processors are trademarks of International Business Machines Corporation; IBM is not affiliated with, and has not endorsed, Gix, QXL or the results described in this press release.

Investor Relations Contact:
Michal Efraty
Investor Relations
michal@efraty.com


FAQ

AI-generated questions and answers. How Rhea-AI works. Not financial advice.

How did Quantum X Labs’ decoder perform on NVIDIA CUDA-Q?

The decoder made 12.7% fewer logical errors than PyMatching at code distance 3 and 12.1% fewer at distance 5. The tests used Google’s public surface-code dataset, with 10,000 held-out runs of five error-correction rounds. Code distance identifies the error-correction code configuration tested.

What did Quantum X Labs’ LayerQake tests on IBM processors show?

LayerQake reduced measurement bias from approximately 11%–15% to below 6% on each processor and reduced maximum cumulative error 15- to 21-fold. The pre-registered test met both predefined success criteria on ibm_fez, ibm_kingston and ibm_marrakesh.

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