13 autumn 2025 and drug compounds or experiments that have been tried so far. Next, we ask the LQM to synthesise the information, identify the most promising compounds – searching the broadest possible chemical space – and simulate their specific behaviours. The goal is to find novel drug compounds that have the best potential for success with the least amount of side effects. Then we run those potential solutions through the LQMs again, combining them with knowledge graphs and AI techniques. Ultimately, we use chemical equa- tions to analyse how the final candidates will behave in the real world. This approach allows us to identi- fy successful candidates at a rate 40 to 50 times faster than traditional methods. In what fields do you think that the combination of AI and quantum will have the most significant impact? Drug development is definitely a critical area. Today, it can take 12-15 years and $2-4 billion to create a new drug, and the failure rate is around 90%. If we can reduce the process to five years and increase the suc- cess rate using LQMs, AI simulation and other tech- nologies, we are talking about a real revolution. This approach is already delivering significant develop- ments in Alzheimer’s, Parkinson’s and cancer drug research. In addition to our work with the biopharma in- dustry, I’m also very excited about what can be done in chemistry using similar technologies and techniques. We are currently involved in the devel- opment of new advanced materials, alloys, chem- icals, battery chemistries and catalysts for use in aerospace, automotive, defence, energy, and other industries. We’ve even used LQMs to calculate the energy required to break down several PFAS mol- ecules – so-called “forever chemicals”. Other areas where our expertise in AI and quantum intersect include advanced medical diagnostics, encryption management and cybersecurity (required to imple- ment post-quantum cryptography) and magnetic navigation to combat the growing global challenge of GPS jamming and spoofing. Post-quantum cryptography is particularly interest- ing for Luxembourg. I think its innovative financial ecosystem may have the potential to become the first one in the world to be fully quantum resilient. LQMs can also be applied to financial modelling, risk mitiga- tion, fraud detection and more. What is the key for companies such as SandboxAQ to remain at the cutting edge of AI and quantum? Our AI-native talent is paramount. In the past, you ei- ther studied biology or IT, so you operated in two sep- arate worlds, and this is still how most companies work. However, at SandboxAQ we look for a new generation of multi-disciplinary individuals who have studied both computational biology, chemistry or physics and AI or quantum at top universities. By combining the right tools, they can solve problems in days or weeks that would tra- ditionally take months or years or even decades. LQMS DRIVE DISCOVERY AND IMPACT ACROSS THE WORLD’S LARGEST INDUSTRIES LLM REACH AI FOR LANGUAGE & GRAPHICS MEDIA BIOPHARMA/ DIAGNOSTICS AUTO/ AEROSPACE SOFTWARE FINANCIAL SERVICES CHEMICALS, MATERIALS, ENERGY LQM TERRITORY AI FOR PHYSICS, CHEMISTRY, BIO & FINANCE Portfolio management Airplane navigation Medical diagnostics Battery chemistry Novel drugs Robotics DATA, AI AND QUANTUM © SandboxAQ