Large Language Model-Guided Discovery of Weight-Five Bivariate Bicycle Codes
quant-ph, cs.AI
Submitted: 2026-10-05
Updated: 2026-10-05
Code: https://github.com/QEC-pages/2BGA-codes
Sources
- High-threshold and low-overhead fault-tolerant quantum memory
- Evolutionary Discovery of Bivariate Bicycle Codes with LLM-Guided Search
- Discovering highly efficient low-weight quantum error-correcting codes with reinforcement learning
- Bayesian Optimization for Quantum Error-Correcting Code Discovery
- Large-Language-Model Discovery of Quantum LDPC Codes through Structured Concept Evolution
- OmniQEC: discovering practical quantum error-correcting codes by an AI scientist
- Multi-agent discovery of practical quantum LDPC codes
- On Quantum Weight Reduction
- Multivariate Bicycle Codes
- Mirror codes: High-threshold quantum LDPC codes beyond the CSS regime
- Degenerate Quantum LDPC Codes With Good Finite Length Performance
- Quantum two-block group algebra codes
- Coprime Bivariate Bicycle Codes and Their Layouts on Cold Atoms
- Generalized toric codes on twisted tori for quantum error correction
- Sequences of Bivariate Bicycle Codes from Covering Graphs
- A Variant of the Bravyi-Terhal Bound for Arbitrary Boundary Conditions
- Tradeoffs for reliable quantum information storage in 2D systems
- Fault-tolerant quantum computing with color codes
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