Towards Analyzing Formic Acid Using Classical and Quantum Methods
This work addresses carbon footprint reduction and the study of life's emergence, but it appears incremental as it combines existing tools with a novel search method for a specific chemical process.
The paper tackles the problem of simulating catalytic carbon fixation to formic acid by merging quantum, quantum-inspired, and classical methods, focusing on analyzing a simple non-catalytic process involving carbon dioxide, hydrogen, and formic acid using discrete quantum exhaustive search.
Catalytic carbon fixation to formic acid is important for studying the reduction of carbon footprint and the emergence of life. Can discrete quantum exhaustive search merged with other methods help reduce the carbon footprint? We suggest merging quantum, quantum inspired, and classical tools for a better simulation of various relevant processes. Quantum tools are often used for analyzing the electronic structure of molecules, sometimes because this problem is not scalable (in the number of orbitals) on classical computers while it is potentially approximately scalable on (future) quantum computers. It is potentially even solvable in the near future using variational quantum eigensolvers (VQE) yet a major obstacle to such analysis is the appearance of barren plateaus in the Hilbert space describing the problem. Here we make use of the basic (standard) tools while also including a novel one -- the discrete quantum exhaustive search, which relies on mutually unbiased bases, for analyzing the simplest non-catalytic process involving carbon dioxide, hydrogen and formic acid.