Q-ML Model Library

Quantum Machine LearningPre-trained & Ready to Deploy

Access state-of-the-art quantum ML models that outperform classical algorithms. From classification to optimization, deploy quantum advantage in minutes.

+12%

Average Accuracy Improvement

10-100x

Training Speed

25+

Models Available

2,500+

Active Researchers

Classification Models

Quantum-enhanced classification algorithms

Quantum Support Vector Machine (QSVM)
Kernel-based classification in quantum feature space

Performance Metrics

Accuracy94.5%
Speed vs Classical10x
Qubit Requirements8-16

Use Cases

  • Fraud detection
  • Medical diagnosis
  • Image recognition

Quick Start Code

from qintercept import Qi

qi = Qi()
model = qi.QSVM(kernel='quantum_rbf')
model.fit(X_train, y_train)
predictions = model.predict(X_test)
Variational Quantum Classifier (VQC)
Hybrid classical-quantum neural network for classification

Performance Metrics

Accuracy92.3%
Speed vs Classical8x
Qubit Requirements4-12

Use Cases

  • Pattern recognition
  • Anomaly detection
  • Credit scoring

Quick Start Code

model = qi.VQC(layers=3, entanglement='full')
model.compile(optimizer='adam', loss='binary_crossentropy')
model.fit(X_train, y_train, epochs=50)
Quantum K-Nearest Neighbors (QKNN)
Distance-based classification using quantum amplitude estimation

Performance Metrics

Accuracy91.7%
Speed vs Classical15x
Qubit Requirements6-10

Use Cases

  • Recommendation systems
  • Customer segmentation
  • Risk assessment

Quick Start Code

model = qi.QKNN(n_neighbors=5, metric='quantum_euclidean')
model.fit(X_train, y_train)
predictions = model.predict(X_test)

Classical vs Quantum Performance

See the quantum advantage in real-world applications

ApplicationClassical TimeQuantum TimeSpeedupAccuracy Gain
Financial Portfolio (1000 assets)6 hours3.6 minutes100x+15%
Drug Molecule Simulation30 days12 hours60x+22%
Fraud Detection (1M transactions)45 minutes5 minutes9x+8%
Supply Chain Optimization2 weeks4 hours84x+18%

Start Using Quantum ML Today

Deploy quantum machine learning models in your applications with just a few lines of code. No quantum expertise required.