arXiv (All)
open access
Democratizing Atomistic Simulation Workflows for the AI Era with the Quantum Accelerator
We present the Quantum Accelerator (QuAcc), an open-source workflow library for atomistic simulations with an emphasis on quantum-mechanical calculations. QuAcc provides predefined workflow recipes spanning first-principles electronic-structure methods, semiempirical and tight-binding approaches, cl
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- DreamQAS: Learning a Decision-Useful World Model for VQE-Efficient Quantum Architecture Search#422252
- Machine Learning Interatomic Potentials with Keras API#792593
- Machine Learning Interatomic Potentials with Keras API#788593
- PyEncode: An Open-Source Library for Structured Quantum State Preparation#670538
- PyEncode: An Open-Source Library for Structured Quantum State Preparation#668473
Record · ID 1118896
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive