Quantum Motion and NVIDIA Simplify Molecule Modeling on Quantum Computers - ForkLog

# Quantum Motion and NVIDIA Simplify Molecule Modeling on Quantum Computers

British company Quantum Motion and NVIDIA have introduced a new approach to one of the most complex challenges in quantum computing — preparing quantum states for molecule simulation. This is reported by Quantum Computing Report.

This stage often requires more resources than the calculation itself and remains a significant obstacle to the practical application of quantum computers in chemistry and materials science.

Researchers proposed using artificial intelligence for preliminary data preparation. Instead of forcing the quantum processor to independently find the necessary state of a complex molecule, part of the work is handled by classical AI. This reduces the number of quantum operations and lowers hardware requirements.

The team released the source code of the GPU-accelerated package created for quantum chemistry tasks. Along with it, developers published guides on using the solution on NVIDIA’s CUDA-Q platform.

Quantum modeling scheme with the MPS-to-circuit compiler for solving the state preparation problem. Source: Quantum Computing Report.## Why It Matters

One of the main promises of quantum computers is the ability to model molecular behavior much more accurately than traditional supercomputers. Such calculations can aid in the development of new drugs, batteries, fertilizers, and industrial materials.

However, in practice, quantum systems still face fundamental limitations. One of them is the need to first convert the problem into a special quantum state that corresponds to the structure of the molecule under study. For complex compounds, this process becomes extremely costly.

Focusing on Hybrid Computing

The work by Quantum Motion and NVIDIA reflects a growing trend in the industry: instead of waiting for the emergence of an ideal quantum computer, companies are learning to combine the capabilities of AI, classical computing, and quantum processors.

Researchers believe that this hybrid approach will help bring quantum technologies closer to solving real scientific and industrial problems more quickly. Although it is not yet a commercial breakthrough, the development addresses one of the bottlenecks that has long hindered the application of quantum computers in chemical calculations.

Recall that in May, IBM Quantum’s global sales director Petra Florisun announced the beginning of a practical era for quantum computing.