qvartools/CITATION.cff at main · QuantumNoLab/qvartools · GitHub

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cff-version: 1.2.0
message: "If you use this software, please cite it as below."
title: "qvartools: Quantum Variational Toolkit"
type: software
authors:
  - name: George Chang
version: 0.0.0
date-released: "2026-03-26"
license: MIT
repository-code: "https://github.com/QuantumNoLab/qvartools"
keywords:
  - quantum chemistry
  - variational methods
  - neural quantum states
  - normalizing flows
  - Krylov methods
  - quantum diagonalization
  - sample-based quantum diagonalization
abstract: >-
  A unified Python package for quantum variational methods applied to
  molecular ground-state energy estimation. Consolidates normalizing-flow
  guided neural quantum states (NF-NQS), sample-based quantum
  diagonalization (SQD), and sample-based Krylov quantum diagonalization
  (SKQD) into reusable, well-scoped modules.