Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Optimizing Electronic Structure Simulations on a Trapped-ion Quantum
  Computer using Problem Decomposition   Quantum computers have the potential to advance material design and drug
discovery by performing costly electronic structure calculations. A critical
aspect of this application requires optimizing the limited resources of the
quantum hardware. Here, we experimentally demonstrate an end-to-end pipeline
that focuses on minimizing quantum resources while maintaining accuracy. Using
density matrix embedding theory as a problem decomposition technique, and an
ion-trap quantum computer, we simulate a ring of 10 hydrogen atoms without
freezing any electrons. The originally 20-qubit system is decomposed into 10
two-qubit problems, making it amenable to currently available hardware.
Combining this decomposition with a qubit coupled cluster circuit ansatz,
circuit optimization, and density matrix purification, we accurately reproduce
the potential energy curve in agreement with the full configuration interaction
energy in the minimal basis set. Our experimental results are an early
demonstration of the potential for problem decomposition to accurately simulate
large molecules on quantum hardware.

10
The categories of this paper are: q-bio
17
The categories of this paper are: q-fin
35
The categories of this paper are: mtrl-th
6
The categories of this paper are: astro-ph
23
The categories of this paper are: solv-int
24
The categories of this paper are: dg-ga
0
The categories of this paper are: hep-ph
31
The categories of this paper are: ao-sci
19
The categories of this paper are: eess
1
The categories of this paper are: cs
9
The categories of this paper are: nlin
18
The categories of this paper are: econ
25
The categories of this paper are: patt-sol
2
The categories of this paper are: math
27
The categories of this paper are: comp-gas
32
The categories of this paper are: atom-ph