Quantum-optimal-control-inspired ansatz for variational quantum algorithms

2020/08/03 by Alexandre Choquette, Agustin Di Paolo, Agustín Di Paolo +4 · 84 citations
Computer Science · Mathematics · Physics and Astronomy · #Algorithm #Ansatz #Computer science #Mathematical optimization #Mathematical physics #Mathematics #Optimal control #Physics #Quantum #Quantum Computing Algorithms and Architecture #Quantum Information and Cryptography #Quantum Mechanics and Applications #Quantum algorithm #Quantum control #Quantum mechanics #quant-ph

paper · pdf · doi:10.1103/physrevresearch.3.023092

published in Physical Review Research 3(2) (American Physical Society)

arxiv created 2020/08/03 · openalex publication_date 2021/05/03 · arxiv updated 2021/05/12 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/05

Abstract

The authors propose a quantum circuit, inspired by the theory of quantum optimal control, to prepare the ground state of the few-body Hubbard model and the water molecule with high-fidelity in a quantum computer.

Citations

• A Quantum Approximate Optimization Algorithm
• Quantum Control Theory
• Quantum circuits for strongly correlated quantum systems
• Quantum algorithms for fermionic simulations
• Electron correlations in narrow energy bands
• Error mitigation for short-depth quantum circuits
• Quantum Computing in the NISQ era and beyond
• Quantum Generative Adversarial Networks for Learning and Loading Random Distributions
• Test of the unitary coupled-cluster variational quantum eigensolver for a simple strongly correlated condensed-matter system
• An application benchmark for fermionic quantum simulations
• Learning to learn with quantum neural networks via classical neural networks

Cited by

• Preconditioning Natural and Second Order Gradient Descent in Quantum Optimization: A Performance Benchmark
• A Quantum Computing View on Unitary Coupled Cluster Theory
• Consensus-based qubit configuration optimization for variational algorithms on neutral atom quantum systems