Quantum counterdiabatic driving enhanced by two-stage local control

arXiv:2403.01854 · quant-ph, cond-mat.stat-mech, physics.app-ph, physics.atom-ph · Submitted 2024-03-04 · Read on arXiv

quant-ph, cond-mat.stat-mech, physics.app-ph, physics.atom-ph

Submitted: 2024-03-04

Updated: 2026-09-18

Terminology

• Fidelity — 68× in this paper · explained in 2 episodes
• Adiabatic Evolution — 9× in this paper · explained in 2 episodes
• Benchmark — 8× in this paper · explained in 2 episodes
• Core — 6× in this paper · explained in 2 episodes
• Effective Hamiltonian — 4× in this paper · explained in 2 episodes
• Antiferromagnetic Ordering — 3× in this paper · explained in 1 episode
• Quantum Approximate Optimization Algorithm — 3× in this paper
• Spin Squeezing — 3× in this paper · explained in 2 episodes
• Hilbert Space — 2× in this paper · explained in 2 episodes
• Robustness — 2× in this paper · explained in 5 episodes
• Spectral Gap — 2× in this paper · explained in 5 episodes
• Accuracy — 1× in this paper · explained in 1 episode
• Adiabatic Passage — 1× in this paper · explained in 1 episode
• All-to-All Connectivity — 1× in this paper · explained in 1 episode
• Benchmarking — 1× in this paper · explained in 3 episodes
• Berry Curvature — 1× in this paper · explained in 3 episodes
• Many-Body Effects — 1× in this paper · explained in 2 episodes
• Quantum Circuits — 1× in this paper · explained in 2 episodes
• Quantum Geometric Tensor (QGT) — 1× in this paper · explained in 2 episodes
• Quantum Physics — 1× in this paper · explained in 10 episodes

Sources

• Different Strategies for Optimization Using the Quantum Adiabatic Algorithm
• Challenges and Opportunities in Quantum Optimization
• Quantum algorithms: A survey of applications and end-to-end complexities
• Efficient Paths for Local Counterdiabatic Driving
• A Race Track Trapped-Ion Quantum Processor
• Efficient DCQO Algorithm within the Impulse Regime for Portfolio Optimization
• Single-Layer Digitized-Counterdiabatic Quantum Optimization for $p$-spin Models
• A Quantum Approximate Optimization Algorithm
• A Lanczos approach to the Adiabatic Gauge Potential

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