Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Unbiasing Fermionic Quantum Monte Carlo with a Quantum Computer   Many-electron problems pose some of the greatest challenges in computational
science, with important applications across many fields of modern science.
Fermionic quantum Monte Carlo (QMC) methods are among the most powerful
approaches to these problems. However, they can be severely biased when
controlling the fermionic sign problem using constraints, as is necessary for
scalability. Here we propose an approach that combines constrained QMC with
quantum computing tools to reduce such biases. We experimentally implement our
scheme using up to 16 qubits in order to unbias constrained QMC calculations
performed on chemical systems with as many as 120 orbitals. These experiments
represent the largest chemistry simulations performed on quantum computers
(more than doubling the size of prior electron correlation calculations), while
obtaining accuracy competitive with state-of-the-art classical methods. Our
results demonstrate a new paradigm of hybrid quantum-classical algorithm,
surpassing the popular variational quantum eigensolver in terms of potential
towards the first practical quantum advantage in ground state many-electron
calculations.

19
The categories of this paper are: eess
5
The categories of this paper are: gr-qc
4
The categories of this paper are: cond-mat
36
The categories of this paper are: cmp-lg
28
The categories of this paper are: alg-geom
31
The categories of this paper are: ao-sci
27
The categories of this paper are: comp-gas
9
The categories of this paper are: nlin
11
The categories of this paper are: hep-lat
33
The categories of this paper are: plasm-ph
1
The categories of this paper are: cs
15
The categories of this paper are: nucl-ex
30
The categories of this paper are: q-alg
21
The categories of this paper are: adap-org
25
The categories of this paper are: patt-sol
22
The categories of this paper are: chao-dyn