Landscape-Similarity-Guided Optimization in Divide-and-Conquer QAOA

arXiv:2602.21689 · quant-ph · Submitted 2026-02-25 · Read on arXiv

quant-ph

Submitted: 2026-02-25

Updated: 2026-09-16

Terminology

• Benchmark — 19× in this paper · explained in 2 episodes
• Quantum Approximate Optimization Algorithm — 12× in this paper
• Approximation Ratio Gap — 10× in this paper
• Fidelity — 10× in this paper · explained in 2 episodes
• Robustness — 8× in this paper · explained in 5 episodes
• Accuracy — 7× in this paper · explained in 1 episode
• Core — 4× in this paper · explained in 2 episodes
• Fine-Tuning — 3× in this paper · explained in 5 episodes
• Verification — 3× in this paper · explained in 2 episodes
• Combinatorial Optimization — 2× in this paper · explained in 2 episodes
• Noisy Intermediate-Scale Quantum — 2× in this paper
• Structural Control — 2× in this paper · explained in 2 episodes
• Ablation — 1× in this paper · explained in 1 episode
• Actor — 1× in this paper · explained in 3 episodes
• Adaptability — 1× in this paper · explained in 1 episode
• Adiabatic Evolution — 1× in this paper · explained in 2 episodes
• Aggregation — 1× in this paper · explained in 1 episode
• Benchmarking — 1× in this paper · explained in 3 episodes
• Clustering — 1× in this paper · explained in 2 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Cosine Similarity — 1× in this paper · explained in 3 episodes
• Effective Hamiltonian — 1× in this paper · explained in 2 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Hardware-Efficient Ansatz — 1× in this paper
• Homogeneity — 1× in this paper · explained in 2 episodes
• Mean Squared Error — 1× in this paper
• Multi-objective Optimization — 1× in this paper · explained in 4 episodes
• Objective Function — 1× in this paper · explained in 2 episodes
• Quantum Circuits — 1× in this paper · explained in 2 episodes
• Sparsity — 1× in this paper · explained in 4 episodes
• Steering — 1× in this paper · explained in 2 episodes
• Transfer Learning — 1× in this paper · explained in 10 episodes
• Transferability — 1× in this paper · explained in 4 episodes
• Universality Class — 1× in this paper · explained in 2 episodes

Sources

• A Quantum Approximate Optimization Algorithm
• For Fixed Control Parameters the Quantum Approximate Optimization Algorithm's Objective Function Value Concentrates for Typical Instances
• The Quantum Approximate Optimization Algorithm Needs to See the Whole Graph: A Typical Case
• Design and architecture of the IBM Quantum Engine Compiler
• Qiskit Backend Specifications for OpenQASM and OpenPulse Experiments

Related papers

• Reconquering Bell sampling on qudits: stabilizer learning and testing, quantum pseudorandomness bounds, and more
• Encrypted clones can leak: Classification of informative subsets in Quantum Encrypted Cloning
• Polynomial-time classical and quantum simulation of quantum impurity models
• Theory of quantum-enhanced interferometry with general Markovian light sources
• A convergent hierarchy of spectral gap certificates for qubit Hamiltonians
• Universal Bound and Phase Transition in Many-Body Fermionic Non-Gaussianity