TL;DR
This paper presents a hybrid quantum-classical approach using coupled-cluster downfolding to simulate chemical systems efficiently on current quantum hardware, aiming to bridge the gap to fault-tolerant quantum computing.
Contribution
It introduces a method to evaluate downfolded Hamiltonians in active spaces and compute energies with quantum algorithms, enhancing accuracy and feasibility for NISQ devices.
Findings
Achieved accurate correlation energies with hundreds of orbitals downfolded.
Demonstrated the method's potential to adapt problem size to quantum hardware constraints.
Bridged the gap between NISQ devices and future fault-tolerant quantum computers.
Abstract
The practical application of quantum technologies to chemical problems faces significant challenges, particularly in the treatment of realistic basis sets and the accurate inclusion of electron correlation effects. A direct approach to these problems is currently infeasible due to limitations in the number of logical qubits, their fidelity, and the shallow circuit depths supported by existing hardware; all of which hinder simulations at the required level of accuracy. A promising alternative is hybrid quantum-classical computing, where classical resources are used to construct effective Hamiltonians characterized by dimensions that conform to the constraints of current quantum devices. In this paper, we demonstrate the performance of a hybrid approach: coupled-cluster downfolded Hamiltonians are first evaluated in reduced-dimensionality active spaces, and the corresponding ground-state…
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.
