Quantum Computation of Eigenvalues within Target Intervals
Phillip W. K. Jensen, Lasse Bj{\o}rn Kristensen, Jakob S. Kottmann and, Al\'an Aspuru-Guzik

TL;DR
This paper introduces a quantum algorithm for efficiently sampling eigenvalues within a specific energy range of a Hamiltonian, useful for spectral analysis without needing precise eigenstate approximations.
Contribution
It presents a novel quantum algorithm that targets eigenvalues in a specified interval, with detailed protocols and resource estimates, demonstrated on molecular hydrogen.
Findings
Effective amplification of excited states demonstrated
Resource and runtime estimates provided
Potential applications in spectral analysis and material science
Abstract
There is widespread interest in calculating the energy spectrum of a Hamiltonian, for example to analyze optical spectra and energy deposition by ions in materials. In this study, we propose a quantum algorithm that samples the set of energies within a target energy-interval without requiring good approximations of the target energy-eigenstates. We discuss the implementation of direct and iterative amplification protocols and give resource and runtime estimates. We illustrate initial applications by amplifying excited states on molecular Hydrogen.
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.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
