Efficient and robust chiral discrimination by invariant-based inverse engineering

TL;DR

This paper introduces a precise and robust method using invariant-based inverse engineering to achieve perfect discrimination of chiral molecules, outperforming existing schemes in accuracy and error resilience.

Contribution

The authors develop a new pulse design approach based on Lewis-Riesenfeld invariants for chiral discrimination, enhancing robustness and accuracy over previous methods.

Findings

Achieves 100% discrimination accuracy for chiral molecules.

Demonstrates improved robustness against errors compared to other schemes.

Provides a practical and efficient method for molecular handedness identification.

Abstract

We propose an accurate and convenient method to achieve 100\% discrimination of chiral molecules with Lewis-Riesenfeld invariant. By reversely designing the pulse scheme of handed resolution, we obtain the parameters of the three-level Hamiltonians to achieve this goal. For the same initial state, we can completely transfer its population to one energy level for left-handed molecules, while transfer it to another energy level for right-handed molecules. Moreover, this method can be further optimized when errors exist, and it shows that the optimal method are more robust against these errors than the counterdiabatic and original invariant-based shortcut schemes. This provides an effective, accurate, and robust method to distinguish the handedness of molecules.