IBM QUANTUM CONNECTED|v0.2.1|156 qubits available

quantum_powered
AI workflows

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$pip install quantumflow-sdk
PyPI v0.2.1
Token Compression
53%
Gradient Accuracy
97.78%
Hardware Fidelity
99.43%
Memory Complexity
O(log n)
INTERACTIVE DEMO

try_it_live()

Run quantum operations directly in your browser. No signup required.

QUANTUM MACHINE LEARNING

quantum_neural_network()

Visualize data flowing through parameterized quantum circuits for ML inference.

quantum_advantage

Proven performance improvements over classical methods

Quantum Compression

Amplitude encoding reduces context size by 53% while preserving semantic content.

53% reduction
Quantum Backprop

Teleportation-based gradients achieve 97.78% similarity with classical methods.

97.78% accuracy
BB84 QKD

Unconditionally secure key distribution using quantum mechanics.

256-bit keys
IBM Quantum

Hardware validated on 156-qubit processors with 99.43% fidelity.

156 qubits
QUANTUM HEALTHCARE

health_simulations()

Predict disease risk and drug efficacy at the molecular level using quantum protein simulations powered by AlphaFold.

WPD
Energy Transfer
Mitochondrial health
MBD
Protein Stability
Alzheimer's risk
AMP
Drug Binding
Drug efficacy
TUN
Enzyme Catalysis
Metabolic rate
COH
Neural Signaling
Signal fidelity
ENT
DNA Repair
Repair capacity

simple_api

Integrate quantum capabilities into your existing AI workflows with just a few lines of code.

OpenAI9 functions
LangChain5 tools + memory
CrewAI4 tools + 3 agents
AutoGen7 functions
MCPClaude Desktop
View all integrations
example.py
# Quantum token compression
from quantumflow import QuantumCompressor

compressor = QuantumCompressor()
result = compressor.compress(tokens)

print(f"Compression: {result.compression_percentage}%")

# Output: Compression: 53.2%

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