Transforming Materials Science Through Quantum Collaboration
This is a guest post by Anastasiia Pusenkova, Quantum Application Lead at Nord Quantique
Quantum computing has seen explosive growth in recent years, offering phenomenal potential across multiple industries such as pharmaceuticals, logistics, energy and cryptography, to name a few. One of quantum’s most promising applications is simulation of materials, where advanced algorithms combined with error-corrected hardware could soon transform the entire industry.
Classically Intractable tasks
Classical computational methods i have driven scientific progress for decades, particularly in computational chemistry. However, computational demands increase significantly for larger molecules, making classical methods insufficient as they struggle with the exponential growth in the complexity of these calculations, and the resources required. This makes accurate simulations close to impossible for large chemical systems such as complex proteins, large biomolecules and advanced materials.