Built for the Speed of Modern Medicine
Quantum Molecular Simulation
Leverage quantum circuits, gates, and energy-state analysis to simulate complex molecular interactions beyond classical limits.
AI-Driven Drug Synthesis
Reinforcement learning and quantum algorithms generate and optimize drug candidates with high simulation fidelity.
Real-Time Quantum Optimization
1024 iterative quantum-AI cycles ensure only the most stable, viable drug candidate survives.
Virtual Human Twin Validation
Survival constant optimization (λ ≥ 0.8). Test drug behavior on a digital twin of human biological pathways before real-world trials.
Introducing Proxima
Pull Any LLM. Add Quantum & Classical Tools. Deploy Anywhere.
import proxima as pxi
pxi.api.load("---your--api--here---")
agent = pxi.model.fetch(model_provider = Google)
@qtool
def bell_state_circuit():
qml.Hadamard(wires=0)
qml.CNOT(wires=[0, 1])
return qml.probs(wires=[0, 1])
device = pxi.device(device = "device")
device.run(
agent(
prompt="Hello Can you perform me the circuit analysis",
noise = false,
token_limit = 100
)
)Pull Any LLM
Works with GPT, Claude, Gemini, Llama, or any custom model from any provider
Quantum + Classical Tools
Assign both quantum algorithms and traditional tools to the same model
Any Inference Provider
Deploy on IonQ, AWS Braket, Azure Quantum, or your own infrastructure
The Breakthroughs That Set Q-VEDHA Apart
Test drugs on a human without touching a human.
- •Patient state modeled as f(x)
- •Health-optimized twin modeled as g(x)
- •Survival constant λ optimized toward ≥ 0.8
- •Reinforcement learning continuously improves outcomes
- •Eliminates early-stage trial risk
Designing drugs at the speed of quantum computation.
- •Simulates molecular energy states using VQE
- •Searches massive solution spaces with Grover's algorithm
- •Filters biological signals via Quantum Fourier Transform
- •Achieves 87%+ simulation accuracy
Dive Into the Details
ALPHA X8 664M
Large Reasoning Model (LRM) for autonomous de-novo molecular generation.
ALPHA X8 8B
Large Reasoning Model (LRM) for Thinking or Reasoning.
Protein & Sequence Validation
Validate drug-protein compatibility using quantum simulations.
Rare Disease Research
Explore complex molecular structures that classical systems struggle with.
Pandemic Drug Acceleration
Rapid hypothesis testing for emerging viral mutations.
Leading the Quantum Revolution in Drug Discovery
IonQ delivers industry-leading quantum computing performance through trapped-ion technology, enabling unprecedented computational capabilities for drug discovery and molecular simulation.
Quantum Computing Leader
Industry-leading trapped-ion technology
Gate Fidelity
Highest accuracy in quantum operations
Algorithmic Qubits
Scalable quantum processing power