TL;DR
This paper introduces a hybrid quantum-classical algorithm for simulating molecular vibrational spectra, leveraging boson sampling to efficiently handle anharmonicity and Duschinsky rotation effects, showing potential for near-term quantum advantage.
Contribution
The authors develop a novel hybrid quantum-classical boson sampling algorithm that significantly improves the efficiency of molecular vibrational spectroscopy simulations involving complex effects.
Findings
Demonstrated the algorithm on a Morse model and pyridine molecule
Achieved exponential speed-up over classical methods
Proposed near-term quantum advantage for molecular spectroscopy
Abstract
Using a photonic quantum computer for boson sampling has been demonstrated a tremendous advantage over classical supercomputers. It is highly desirable to develop boson sampling algorithms for realistic scientific problems. In this work, we propose a hybrid quantum-classical sampling (HQCS) algorithm to calculate the optical spectrum for complex molecules considering anharmonicity and Duschinsky rotation (DR) effects. The classical sum-over-state method for this problem has a computational complexity that exponentially increases with system size. In the HQCS algorithm, an intermediate harmonic potential energy surface (PES) is created, bridging the initial and final PESs. The magnitude and sign (-1 or +1) of the overlap between the initial state and the intermediate state are estimated by quantum boson sampling and by classical algorithms respectively, achieving an exponential speed-up.…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Code & Models
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
