British company Quantum Motion and NVIDIA have introduced a new approach to one of the most challenging tasks in quantum computing: preparing quantum states for molecular simulation. This was reported by Quantum Computing Report.
This stage often requires more resources than the calculations themselves and remains a significant barrier to the practical application of quantum computers in chemistry and materials science.
The researchers proposed using artificial intelligence for preliminary data preparation. Instead of having the quantum processor independently search for the required state of a complex molecule, classical AI takes on part of the workload. This reduces the number of quantum operations needed and lowers hardware requirements.
The team has released the source code for their GPU-accelerated package for quantum chemistry tasks. Along with it, developers have published guides for using the solution on NVIDIA's CUDA-Q platform.
A diagram of quantum simulation with the MPS-to-circuit compiler for state preparation tasks. Source: Quantum Computing Report.Why This Matters
One of the main promises of quantum computers is their ability to model molecular behavior significantly more accurately than traditional supercomputers. Such calculations could aid in the development of new drugs, batteries, fertilizers, and industrial materials.
However, in practice, quantum systems still face fundamental limitations. One of these is the need to first translate the problem into a specific quantum state that corresponds to the structure of the molecule being studied. For complex compounds, this process becomes extremely resource-intensive.
Betting on Hybrid Computing
The collaboration between Quantum Motion and NVIDIA reflects a growing trend in the industry: instead of waiting for the perfect quantum computer, companies are learning to combine the capabilities of AI, classical computing, and quantum processors.
Researchers believe this hybrid approach will bring quantum technologies closer to real-world scientific and industrial challenges. While we are not yet talking about a commercial breakthrough, this development addresses one of the bottlenecks that has long hindered the use of quantum computers in chemical calculations.
It is worth noting that in May, IBM Quantum's global sales director, Petra Florizun, announced the beginning of a practical era for quantum computing.