Our Technology Stack
Powering Quantum Drug Discovery with Cutting-Edge Tools
Discover the tools and frameworks that drive Astra Vida’s quantum-powered drug discovery platform.
We leverage quantum computing frameworks to simulate molecular interactions with unprecedented accuracy.
import pennylane as qml
from pennylane import numpy as np
from pennylane.optimize import NesterovMomentumOptimizer
# Simplified Molecular Hamiltonian
coeffs = [-0.5, 0.3, 0.2]
terms = [qml.PauliZ(0), qml.PauliX(1), qml.PauliY(0) @ qml.PauliY(1)]
H = qml.Hamiltonian(coeffs, terms)
dev = qml.device("default.qubit", wires=2)
@qml.qnode(dev)
def circuit(params):
qml.templates.StronglyEntanglingLayers(params, wires=[0, 1])
return qml.expval(H)
layers = 2
params = np.random.random([layers, 2, 3])
opt = NesterovMomentumOptimizer(stepsize=0.1)
for i in range(50):
params = opt.step(circuit, params)
if i % 10 == 0:
print(f"Step {i}: Energy = {circuit(params):.6f} Hartree")
🔍 Simulates molecular energy for drug binding affinity.
🔍 Visualizes a sample molecule structure (simplified).
Our AI/ML pipelines optimize lead compounds and predict drug-target interactions with high accuracy.
We use advanced visualization tools to model and explore molecular structures interactively.
Our platform is built on scalable cloud infrastructure with robust API support for global collaboration.
Access our API or dive into our documentation to integrate Astra Vida’s quantum drug discovery tools into your research.