Noise-Aware Variational Eigensolvers: A Dissipative Route for Lattice Gauge Theories

We propose a novel variational ansatz for the ground-state preparation of the <a:math xmlns:a="http://www.w3.org/1998/Math/MathML" display="inline" overflow="scroll"><a:msub><a:mrow><a:mi mathvariant="double-struck">Z</a:mi></a:mrow><a:mn>2</a:mn></a:msub></a:math> lattice gauge theory (LGT) in quantum simulators. It combines dissipative and unitary operations in a completely deterministic scheme with a circuit depth that does not scale with the size of the considered lattice. We find that, with very few variational parameters, the ansatz can achieve <e:math xmlns:e="http://www.w3.org/1998/Math/MathML" display="inline" overflow="scroll"><e:mo>&gt;</e:mo><e:mn>99</e:mn><e:mi mathvariant="normal">%</e:mi></e:math> precision in energy in both the confined and deconfined phase of the <i:math xmlns:i="http://www.w3.org/1998/Math/MathML" display="inline" overflow="scroll"><i:msub><i:mrow><i:mi mathvariant="double-struck">Z</i:mi></i:mrow><i:mn>2</i:mn></i:msub></i:math> LGT. We benchmark our proposal against the unitary Hamiltonian variational ansatz showing a reduction in the required number of variational layers to achieve a target precision. After performing a finite-size scaling analysis, we show that our dissipative variational ansatz can predict accurate critical exponents without requiring a number of layers that scales with the system size, which is the standard situation for unitary ansätze. Furthermore, we investigate the performance of this variational eigensolver subject to circuit-level noise, determining variational error thresholds that fix the error rate below which it would be beneficial to increase the number of layers. In light of these quantities and for typical gate errors <m:math xmlns:m="http://www.w3.org/1998/Math/MathML" display="inline" overflow="scroll"><m:mi>p</m:mi></m:math> in current quantum processors, we provide a detailed assessment of the prospects of our scheme to explore the <p:math xmlns:p="http://www.w3.org/1998/Math/MathML" display="inline" overflow="scroll"><p:msub><p:mrow><p:mi mathvariant="double-struck">Z</p:mi></p:mrow><p:mn>2</p:mn></p:msub></p:math> LGT on near-term devices. Published by the American Physical Society 2024