Toward density functional theory on quantum computers?

Senjean, Bruno; Yalouz, Saad; Saubanère, Matthieu

doi:10.21468/scipostphys.14.3.055

Cited by 6 publications

(1 citation statement)

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“…We have evaluated the applicability of using DFT to calculate energies from quantum computers, which possibly does not require the long-term evolution of QPE and requires far fewer measurements than variational quantum eigensolvers VQE . Instead of performing DFT on the quantum computer directly, , we proposed evaluating the DFT path integral to generate PESs. The path integral was evaluated using TDDFT potential inversion along an adiabatic time evolution between different molecular geometries using only the measured density.…”

Section: Discussionmentioning

confidence: 99%

Calculating Potential Energy Surfaces with Quantum Computers by Measuring Only the Density Along Adiabatic Transitions

Brown

2024

J. Chem. Theory Comput.

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We show that chemically accurate potential energy surfaces (PESs) can be generated from quantum computers by measuring only the density along an adiabatic transition between different molecular geometries. In lieu of using phase estimation, the energy is evaluated by performing line-integration using the inverted real-space time-dependent density functional theory Kohn− Sham (KS) potential obtained from the geometry-varying densities of the full wave function. The accuracy of this method depends on the validity of the adiabatic evolution itself and the potential inversion process (which is theoretically exact but can be numerically unstable), whereas the total evolution time is the defining factor for the precision of phase estimation. We examine the method with a one-dimensional system of two electrons for both the ground and first triplet states in first quantization, as well as the ground state of three-and four-electron systems in second quantization. It is shown that few accurate measurements can be utilized to obtain chemical accuracy across the full potential energy curve, with a shorter propagation time than may be required using phase estimation for a similar accuracy. We also show that an accurate potential energy curve can be calculated by making many imprecise density measurements (using a few shots) along the time evolution and smoothing the resulting density evolution. Finally, it is important to note that the method is able to classically provide a check of its own accuracy by comparing the density resulting from a time-independent KS calculation using the inverted potential with the measured density. This can be used to determine whether longer adiabatic evolution times are required to satisfy the adiabatic theorem.

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Section: Discussionmentioning

confidence: 99%