Press Releases October 6, 2026 08:55 AM

QuantumXLabs Reports Approximately 16.8x Acceleration Over CPU-Based Computing in Quantum-Enabled Analysis of More Than 7 Billion Gene Combinations Using Real-World Clinical Data

Quantum X Labs Achieves 16.8x Acceleration Using GPU-Accelerated Quantum Simulation in Clinical Genomic Data Analysis

By Marcus Reed
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Quantum X Labs Inc. announced a major computational milestone where their proprietary quantum-enabled algorithm, accelerated with GPU technology, achieved approximately 16.8 times faster analysis compared to CPU-only methods. This advancement allows processing of over 7.3 billion three-gene combinations from real-world clinical gene-expression data in under an hour, greatly improving biomarker discovery potential.

QuantumXLabs Reports Approximately 16.8x Acceleration Over CPU-Based Computing in Quantum-Enabled Analysis of More Than 7 Billion Gene Combinations Using Real-World Clinical Data
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Key Points

  • Quantum X Labs' GPU-accelerated platform reduces gene combination analysis time from 8.4 hours to 0.5 hours, demonstrating significant computational speed-up.
  • The technology effectively handles high-dimensional clinical data, enabling the identification of millions of correlated gene triplets for biomarker discovery and patient stratification.
  • This milestone exemplifies progress toward scalable quantum-enabled computing for biomedical applications, with plans to further expand algorithm complexity and transition to quantum hardware execution.

The demonstration represents another development milestone in the Company’s development of quantum-enabled platform for high-dimensional clinical data analysis 

Tel Aviv, Israel, Oct. 06, 2026 (GLOBE NEWSWIRE) -- Quantum X Labs Inc. (Nasdaq: QXL) (“Quantum X” or the “Company”), an advanced technologies company, today reported its GPU-accelerated quantum-simulation platform achieved an approximately 16.8-fold computational acceleration using a single machine with 64 cores (x86_64) and a single NVIDIA T4 Tensor Core GPU compared with the same 64-vCPU machine with only CPU implementation.

The evaluation used a real clinical gene-expression dataset comprising 11 patients and 3,531 gene-expression features, representing a challenging high-dimensional setting in which the number of biological variables greatly exceeds the number of patients.

Quantum X’s proprietary algorithm, operated through its subsidiary CliniQuantum, searched for correlated three-gene configurations across the dataset. The 3,531 genes generated 7,331,162,245 possible three-gene combinations. Using a predefined minimum correlation threshold, the algorithm identified approximately 22.2 million correlated gene triplets.

The analysis required approximately 8.4 hours using 64 vCPUs, compared with approximately 0.5 hours when accelerated using a single NVIDIA T4 GPU, while producing the same qualifying gene-triplet results.

“This represents an important development milestone for Quantum X Labs,” said Dr. Tidhar Turgeman, head of clinical trials data analysis. “Clinical and molecular datasets can contain thousands of variables but relatively few patients, creating enormous combinatorial search spaces. Demonstrating the ability to evaluate more than 7.3 billion potential gene combinations on real clinical data marks an important step in our development. The significant GPU acceleration further supports our continuing development of scalable, quantum-enabled approaches for biomarker discovery and patient stratification.”

The benchmark was conducted on an AWS g4dn.16xlarge EC2 machine using IBM Qiskit Aer GPU-based quantum simulation, with an NVIDIA T4 Tensor Core GPU. The benchmark was designed to evaluate computational performance and did not evaluate or establish the clinical validity, predictive value, or potential utility of any identified gene combinations.

QuantumXLabs intends to continue advancing its algorithms toward the analysis of increasingly complex multi-feature configurations and larger biomedical datasets, while progressing its development pathway from simulation and validation toward execution on quantum computing hardware.

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 the continued development and optimization of its technologies, the expansion of its research and development activities, potential applications of its solutions, the advancement of its business strategy, and its expectations regarding future performance and growth opportunities. 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 Efraty
Investor Relations
[email protected]


Risks

  • The benchmark focused on computational performance and did not evaluate the clinical validity or practical utility of the gene combinations identified, posing scientific and commercial risks.
  • Forward-looking statements indicate uncertainties about the achievement of expected technological and business targets, reflecting risks in execution and market adoption.
  • The effectiveness of quantum computing approaches in real-world clinical and biomedical settings remains to be fully demonstrated, which could impact investor confidence and valuation.

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