Entanglement-informed Construction of Variational Quantum Circuits
Alina Joch, G\"otz S. Uhrig, Benedikt Fauseweh

TL;DR
This paper introduces entanglement-informed ansatz schemes for variational quantum algorithms, optimizing the balance between accuracy and entanglement complexity to improve ground state simulations on noisy quantum hardware.
Contribution
It proposes a novel approach to designing variational ansatzes based on the entanglement structure of specific quantum models, enhancing efficiency and convergence.
Findings
Plateau in ansatz accuracy controlled by entangling gates
Combining long-range and short-range entanglement improves accuracy
Renormalization group approach aids ansatz construction for critical systems
Abstract
The Variational Quantum Eigensolver (VQE) is a promising tool for simulating ground states of quantum many-body systems on noisy quantum computers. Its effectiveness relies heavily on the ansatz, which must be both hardware-efficient for implementation on noisy hardware and problem-specific to avoid local minima and convergence problems. In this article, we explore entanglement-informed ansatz schemes that naturally emerge from specific models, aiming to balance accuracy with minimal use of two-qubit entangling gates, allowing for efficient use of techniques such as quantum circuit cutting. We focus on three models of quasi-1D Hamiltonians: (i) systems with impurities acting as entanglement barriers, (ii) systems with competing long-range and short-range interactions transitioning from a long-range singlet to a quantum critical state, and (iii) random quantum critical systems. For the…
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Taxonomy
TopicsQuantum Computing Algorithms and Architecture · Advanced Thermodynamics and Statistical Mechanics · Quantum Mechanics and Applications
