Scaling Quantum Optimization to the Thousand-Qubit Scale with Distributed Quantum Sampling

arXiv:2610.10772 · quant-ph, cs.ET, math.OC · Submitted 2026-10-07 · Read on arXiv

quant-ph, cs.ET, math.OC

Submitted: 2026-10-07

Updated: 2026-10-07

Code: https://github.com/QoroQuantum/divi

Terminology

• Fidelity — 10× in this paper · explained in 2 episodes
• Benchmark — 7× in this paper · explained in 2 episodes
• Calibration — 6× in this paper · explained in 7 episodes
• Benchmarking — 5× in this paper · explained in 3 episodes
• Decoupling — 4× in this paper · explained in 2 episodes
• Entanglement — 4× in this paper · explained in 4 episodes
• Fully-Corrective Frank-Wolfe — 4× in this paper
• Minimum Birkhoff Decomposition — 3× in this paper
• Pruning — 2× in this paper · explained in 4 episodes
• Accuracy — 1× in this paper · explained in 1 episode
• Entanglement Entropy — 1× in this paper · explained in 2 episodes
• Modular Architecture — 1× in this paper · explained in 4 episodes
• Objective Function — 1× in this paper · explained in 2 episodes
• Sparsity — 1× in this paper · explained in 4 episodes

Sources

• Boosting Sparsity in Graph Decompositions with QAOA Sampling
• Quantum Supremacy through the Quantum Approximate Optimization Algorithm
• A Multilevel Approach For Solving Large-Scale QUBO Problems With Noisy Hybrid Quantum Approximate Optimization
• Maestro: Intelligent Execution for Quantum Circuit Simulation
• Fast, accurate, high-resolution simulation of large-scale Fermi-Hubbard models on a digital quantum processor

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