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
Key Highlights
- ➤16.8x acceleration achieved versus CPU-only implementation on identical 64-core machine
- ➤7.33 billion three-gene combinations searched using real clinical gene-expression data
- ➤22.2 million correlated gene triplets identified above predefined minimum threshold
- ➤Analysis time cut to 0.5 hours from approximately 8.4 hours with one NVIDIA T4 GPU
- ➤Benchmark did not establish clinical validity, predictive value, or utility of gene combinations
Expert Statements
Tidhar Turgeman, Head of clinical trials data analysis at Quantum X Labs
“This represents an important development milestone for Quantum X Labs”
Tidhar Turgeman, Head of clinical trials data analysis at Quantum X Labs
“Clinical and molecular datasets can contain thousands of variables but relatively few patients, creating enormous combinatorial search spaces.”
Tidhar Turgeman, Head of clinical trials data analysis at Quantum X Labs
“Demonstrating the ability to evaluate more than 7.3 billion potential gene combinations on real clinical data marks an important step in our development.”
Tidhar Turgeman, Head of clinical trials data analysis at Quantum X Labs
“The significant GPU acceleration further supports our continuing development of scalable, quantum-enabled approaches for biomarker discovery and patient stratification.”
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.
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