Max Cut graph driven quantum circuit design for geometrically frustrated planar spin systems with spin glass like energy landscapes

arXiv:2504.12096 · cond-mat.dis-nn, physics.chem-ph, quant-ph · Submitted 2025-04-16 · Read on arXiv

cond-mat.dis-nn, physics.chem-ph, quant-ph

Submitted: 2025-04-16

Updated: 2026-09-17

Code: https://github.com/QuNB-Repo/QCChem

Terminology

• Fidelity — 37× in this paper · explained in 2 episodes
• Frustration — 28× in this paper · explained in 2 episodes
• Quantum Approximate Optimization Algorithm — 6× in this paper
• Benchmark — 5× in this paper · explained in 2 episodes
• Hilbert Space — 4× in this paper · explained in 2 episodes
• Clustering — 3× in this paper · explained in 2 episodes
• Quantum Circuits — 3× in this paper · explained in 2 episodes
• Quantum fluctuations — 3× in this paper · explained in 2 episodes
• Reinforcement Learning — 3× in this paper · explained in 4 episodes
• Robustness — 3× in this paper · explained in 5 episodes
• Variational Quantum Eigensolver (VQE) — 3× in this paper · explained in 5 episodes
• Accuracy — 2× in this paper · explained in 1 episode
• Entanglement — 2× in this paper · explained in 4 episodes
• Spectral Gap — 2× in this paper · explained in 5 episodes
• Adam — 1× in this paper · explained in 2 episodes
• Combinatorial Optimization — 1× in this paper · explained in 2 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Core — 1× in this paper · explained in 2 episodes
• Deep Reinforcement Learning — 1× in this paper · explained in 2 episodes
• Generative Model — 1× in this paper · explained in 2 episodes
• Generative Models — 1× in this paper · explained in 3 episodes
• Hamming Distance — 1× in this paper · explained in 2 episodes
• Hybrid Approach — 1× in this paper · explained in 4 episodes
• Hypergraph — 1× in this paper · explained in 2 episodes
• Normalizing Flow — 1× in this paper · explained in 3 episodes
• Normalizing Flows — 1× in this paper · explained in 4 episodes
• Quantum Annealing (QA) — 1× in this paper · explained in 2 episodes
• Quantum Phase Estimation (QPE) — 1× in this paper · explained in 3 episodes

Sources

• Quantum measurements and the Abelian Stabilizer Problem
• A Quantum Approximate Optimization Algorithm
• The Quantum Approximate Optimization Algorithm at High Depth for MaxCut on Large-Girth Regular Graphs and the Sherrington-Kirkpatrick Model
• Portfolio rebalancing experiments using the Quantum Alternating Operator Ansatz
• Quantum Computation by Adiabatic Evolution
• Snapshot-QAOA: Extending QAOA to Quantum Hamiltonian Simulation

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