The electron density: a fidelity witness for quantum computation
Journal article, 2023

There is currently no combination of quantum hardware and algorithms that can provide an advantage over conventional calculations of molecules or materials. However, if or when such a point is reached, new strategies will be needed to verify predictions made using quantum devices. We propose that the electron density, obtained through experimental or computational means, can serve as a robust benchmark for validating the accuracy of quantum computation of chemistry. An initial exploration into topological features of electron densities, facilitated by quantum computation, is presented here as a proof of concept. Additionally, we examine the effects of constraining and symmetrizing measured one-particle reduced density matrices on noise-driven errors in the electron density distribution. We emphasize the potential benefits and future need for high-quality electron densities derived from diffraction experiments for validating classically intractable quantum computations of materials.

Author

Mårten Skogh

Chalmers, Chemistry and Chemical Engineering, Chemistry and Biochemistry

AstraZeneca AB

Werner Barucha-Dobrautz

Chalmers, Chemistry and Chemical Engineering, Chemistry and Biochemistry

Phalgun Lolur

Chalmers, Chemistry and Chemical Engineering, Chemistry and Biochemistry

Christopher Warren

Chalmers, Microtechnology and Nanoscience (MC2), Quantum Technology

Janka Biznárová

Chalmers, Microtechnology and Nanoscience (MC2), Quantum Technology

Amr Osman

Chalmers, Microtechnology and Nanoscience (MC2), Quantum Technology

Giovanna Tancredi

Chalmers, Microtechnology and Nanoscience (MC2), Quantum Technology

Jonas Bylander

Chalmers, Microtechnology and Nanoscience (MC2), Quantum Technology

Martin Rahm

Chalmers, Chemistry and Chemical Engineering, Chemistry and Biochemistry

Chemical Science

2041-6520 (ISSN) 2041-6539 (eISSN)

Vol. 15 6 2257-2265

Subject Categories

Theoretical Chemistry

Other Electrical Engineering, Electronic Engineering, Information Engineering

Condensed Matter Physics

DOI

10.1039/d3sc05269a

More information

Latest update

3/7/2024 9