English

Projected Cooling Algorithm for Quantum Computation

Quantum Physics 2020-07-02 v2 Quantum Gases High Energy Physics - Lattice Nuclear Theory

Abstract

In the current era of noisy quantum devices, there is a need for quantum algorithms that are efficient and robust against noise. Towards this end, we introduce the projected cooling algorithm for quantum computation. The projected cooling algorithm is able to construct the localized ground state of any Hamiltonian with a translationally-invariant kinetic energy and interactions that vanish at large distances. The term "localized" refers to localization in position space. The method can be viewed as the quantum analog of evaporative cooling. We start with an initial state with support over a compact region of a large volume. We then drive the excited quantum states to disperse and measure the remaining portion of the wave function left behind. For the nontrivial examples we consider here, the improvement over other methods is substantial. The only additional resource required is performing the operations in a volume significantly larger than the size of the localized state. These characteristics make the projected cooling algorithm a promising tool for calculations of self-bound systems such as atomic nuclei.

Keywords

Cite

@article{arxiv.1910.07708,
  title  = {Projected Cooling Algorithm for Quantum Computation},
  author = {Dean Lee and Joey Bonitati and Gabriel Given and Caleb Hicks and Ning Li and Bing-Nan Lu and Abudit Rai and Avik Sarkar and Jacob Watkins},
  journal= {arXiv preprint arXiv:1910.07708},
  year   = {2020}
}

Comments

12 pages and 3 figures in the main text, 7 pages in the supplemental materials, final version to appear Physics Letters B