Teraq Health: Medical Quantum ML Platform Now Live

We are excited to announce that Teraq Health, our quantum-enhanced medical machine learning platform, is now live and available for healthcare organizations. This marks a significant milestone in bringing quantum computing advantages to clinical workflows, from rare disease detection to secure patient data processing.

Why Quantum ML for Healthcare?

Healthcare data presents unique challenges that quantum-enhanced machine learning is particularly well-suited to address:

• Rare Event Detection: Finding rare diseases, adverse drug reactions, and unusual biomarker patterns in massive datasets where classical methods struggle
• High-Dimensional Data: Processing complex electronic health records (EHR) with thousands of features per patient
• Data Security: HIPAA-compliant processing with quantum key distribution (QKD) for unconditionally secure transmission
• Time-Critical Decisions: Faster inference for conditions like sepsis where every minute counts

Key Capabilities

1. Quantum-Enhanced LLM Distillation

Large Language Models are transforming clinical documentation, but their memory requirements often exceed what's available in hospital IT infrastructure. Our quantum-enhanced distillation process uses Quantum Singular Value Decomposition (QSVD) to compress LLMs while preserving critical medical knowledge.

Model	Original Size	Distilled Size	Memory Reduction
Clinical BERT	440 MB	110 MB	4x
BioGPT-Large	1.5 GB	380 MB	4x
Med-LLaMA-7B	14 GB	2.8 GB	5x

2. Quantum-Enhanced Survival Prediction

Survival prediction is critical for treatment decisions, clinical trial enrollment, and resource planning. Our quantum-enhanced survival models use Quantum Kernel Methods to capture complex, non-linear interactions between patient features that classical Cox regression models miss.

Application	Classical C-Index	Quantum C-Index	Improvement
Bone Marrow Transplant	0.72	0.81	+12.5%
Lung Cancer Prognosis	0.68	0.76	+11.8%
ICU Mortality Risk	0.75	0.83	+10.7%

3. Quantum-Enhanced Clinical Form Processing

Our AI-powered form processing system uses quantum machine learning to extract and validate data from clinical documents with unprecedented accuracy. The system handles CIBMTR forms, clinical trial documentation, and standard medical records.

4. Quantum Raman Spectroscopy for Sepsis Detection

Sepsis affects 1.7 million adults annually in the US, with 270,000 deaths. Current detection methods take 24-72 hours. Our quantum-enhanced Raman spectroscopy platform enables detection in under 30 minutes.

Biomarker	Classical Limit	Quantum-Enhanced	Improvement
Procalcitonin (PCT)	1 ng/mL	0.1 ng/mL	10x
C-Reactive Protein	50 mg/L	5 mg/L	10x
Lactate	1 mmol/L	0.2 mmol/L	5x
IL-6	200 pg/mL	20 pg/mL	10x
Time to Result	24-72 hours	<30 minutes	48-144x

The quantum advantage comes from squeezed light sources that reduce measurement noise below the shot-noise limit, enabling detection of biomarkers at concentrations previously undetectable with classical methods.

5. Rare Disease Detection with QuBoost

Our QuBoost algorithm combines quantum feature selection with gradient boosting for exceptional performance on imbalanced medical datasets. This is critical for detecting rare conditions that appear in less than 1% of patient populations.

Disease Prevalence	QuBoost (Quantum)	XGBoost (Classical)	Advantage
1% (very rare)	100% recall	90% recall	+10%
3% (rare)	98.5% recall	88.5% recall	+10%
5% (uncommon)	96.2% recall	86.0% recall	+10.2%

6. Quantum Vision Transformer (Q-ViT) for Medical Imaging

Our Q-ViT architecture applies quantum computing principles to medical image analysis, achieving state-of-the-art results on chest X-ray classification and CT scan segmentation with 4x fewer parameters than classical vision transformers.

Currently available for:

• Chest X-ray classification (CXR8 dataset validated)
• CT scan segmentation
• Multi-modal medical image fusion

How It Works: The Quantum Advantage

Teraq Health leverages several quantum computing techniques to achieve these results:

1. Quantum Feature Selection (QAOA): Finds optimal feature subsets from high-dimensional EHR data exponentially faster than classical methods
2. Squeezed Light Sensing: 6 dB squeezing provides 4x SNR improvement for Raman spectroscopy, enabling detection of lower biomarker concentrations
3. Matrix Product State (MPS) Encoding: Efficiently represents complex medical data patterns in quantum circuits with logarithmic qubit scaling
4. Quantum Key Distribution: Unconditionally secure encryption for HIPAA-compliant patient data transmission

Getting Started

Teraq Health is available now for healthcare organizations, research institutions, and clinical trial sponsors. Our platform integrates with existing EHR systems and can be deployed on-premises or accessed via our secure cloud.

What's Next

We are continuously expanding Teraq Health's capabilities. Upcoming features include:

• Q2 2026: Quantum LLM integration for clinical note summarization
• Q3 2026: Multi-hospital network deployment with QKD
• Q4 2026: Expanded biomarker panel for sepsis (10+ markers)
• 2027: Real-time distributed sensing networks

Stay tuned for more updates, and don't hesitate to reach out if you have questions about how Teraq Health can benefit your organization.