From Paper to Program: Specification-Guided Implementation of Quantum Many-Body Algorithms with Large Language Model
physics.comp-ph, cond-mat.str-el, cs.AI, cs.HC
Submitted: 2026-04-05
Updated: 2026-09-26
Code: https://github.com/yizhou76-sudo/DMRG-LLM
Terminology
Sources
- Co-Authoring with AI: How I Wrote a Physics Paper About AI, Using AI
- Matrix Product State Representations
- TeMFpy: a Python library for converting fermionic mean-field states into tensor networks
- SciCode: A Research Coding Benchmark Curated by Scientists
- PaperBench: Evaluating AI's Ability to Replicate AI Research
- Paper2Code: Automating Code Generation from Scientific Papers in Machine Learning
- Quantum Many-Body Physics Calculations with Large Language Models
- Autonomous Quantum Simulation through Large Language Model Agents
- Infinite size density matrix renormalization group, revisited
- Renormalization algorithms for Quantum-Many Body Systems in two and higher dimensions
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