Light Vision It INNOVATING THE FUTURE

Q AI | quantum Advantage

Advantages of using quantum computers for AIUseful when training high-dimensional data requires large computational resources Take advantage of nesting and entanglement 

Q AI | Development Case - Urban and Transportation Optimization

Quantum computing redefines the future of transportation management and optimization, fostering collaboration between the automotive and computing development industries

Volkswagen traffic management using quantum computing (urban traffic and travel route optimization)

Traffic congestion heat map in unoptimized (left) and optimized (right) flows

Calculate the optimal route in ms for each vehicle.

Traffic data collected by smartphones and in-vehicle transmitters is processed by non-quantum and quantum algorithms.

Case Study – inCerebro Drug Development Project

Ligand production acts as an inhibitor of target proteins

AI training with available ligand datasets → Ligand generation using trained models → Verification through in vitro experiments

Achieve quantum superiority using quantum machine learning models (QLSTM, QGAN)

Selected as the largest annual quantum algorithm project and received research support from the National Research Foundation of
Korea

Q AI | Development Case - CO2 Reduction Reaction Catalyst Design

The electrochemical CO2 reduction reaction (CO2 RR) reduces CO2 emissions and produces useful by-products.

Discovering promising CO2 RR catalysts has become a meaningful challenge, and machine learning is being applied to accelerate the rate of discovery.

This project aims to create new catalysts using generative quantum machine learning.