By Quandela
From raw Data to Molecular Insights Resulting in Sample Distribution Our photonic quantum computer produces a distribution of samples representing possible molecular states. Visualized as a histogram, each bar represents a specific quantum state, with its value indicating probability. This distribution encapsulates the quantum nature of the molecule, showing all possible configurations simultaneously. INTERPRETED THROUGH USER ALGORITHM The sample distribution is processed using a user-defined algorithm, typically in Python. This algorithm translates quantum states into energy levels, identifies the ground state (lowest energy configuration), which can be used to construct a potential energy surface for the molecule and its possible configurations. It bridges the quantum world and our classical understanding of molecular geometry. PROVIDING DIRECT SOLUTION The final output is a detailed 3D model of the molecule in its most stable configuration. This visualization brings quantum results into a tangible form, showing the spatial arrangement of atoms, bond lengths, and angles. It provides crucial insights for applications in drug design, materials engineering, and fundamental chemistry research.
