Quantum Error Correction Research Scientist Intern - Fall 2026
Core
Developing automated, high-performance quantum error correction research pipelines spanning code discovery and decoder design for realistic quantum systems.
Role type
Research Scientist Intern (Quantum Error Correction)
Builds
Automated pipelines for discovering and evaluating quantum error correcting codes and decoders
Domain
Quantum Computing / Machine Learning
Deliverable
production ML models
Required skills
Quantum error correction fundamentals, coding theory, stabilizer codes, Python programming, classical machine learning methods
Preferred skills
Tensor network simulation, neural network-based decoders, qubit loss/leakage modeling, magic state preparation, GPU-accelerated simulation (cuQuantum/CUDA-Q)
Responsibilities
Develop automated code discovery protocols, integrate ML methods for code construction, build ML-based decoders for topological/QLDPC codes, evaluate fault-tolerant circuits
Seniority
Intern
