Chemical and Material Simulation

Discover and test new chemicals and materials using quantum chemical simulation, including stronger materials, lighter batteries, and more efficient catalysts.

Alloy Analysis

Predict macroscopic properties of alloys and structural materials using multi-scale modeling and quantum-inspired machine learning.

Catalysis Modeling

Model homogenous and heterogenous catalysis using electronic structure calculations.

Excited State Property Prediction

Predict excited state properties for materials relevant to applications such as OLEDs and photovoltaics.

Chemical Dynamics Simulation

Simulate chemical dynamics and kinetics using quantum-enhanced force-field methods and electronic structure calculations.

Chemical Reaction Optimization

Optimize chemical reaction network conditions to maximize yield, reduce costs, and save time using quantum-enhanced machine learning techniques.

Plant Operations Optimization

Optimize the scheduling of machine processes and employee shifts using quantum or quantum-inspired prescriptive analytics.

Predictive Maintenance

Apply quantum-boosted predictive analytics to proactively predict when machinery and equipment will need maintenance.

Quality Control

Generate synthetic data with generative models to better train anomaly detection algorithms for quality control processes.

Supply Chain Optimization

Optimize the selection of suppliers and vendors for product quality, costs, delivery times, and demand coverage using generator-enhanced optimization (GEO).

Distribution Route Optimization

Optimize distribution routes to reduce fuel costs and delivery times using quantum or quantum-inspired prescriptive analytics.

Inventory Optimization

Optimize the stocking of reactors, catalysts, and other components for chemical manufacturing as well as the stocking of distribution warehouses using GEO.