cff-version: 1.2.0
message: >
  If you use QR-SPPS in your research, please cite both the arXiv preprint
  (algorithmic framework) and this repository (Fujitsu hardware implementation).

title: >
  QR-SPPS: Quantum-Native Retail Shock Propagation & Policy Stress Simulator
  — Fujitsu Quantum Simulator Challenge 2025-26

authors:
  - family-names: Chongder
    given-names: Sumit Tapas
    affiliation: >
      M.Tech, Quantum Technologies, Indian Institute of Technology Jodhpur,
      Rajasthan 342030, India
    email: sumitchongder960@gmail.com
    orcid: ""

version: "1.0.0"
date-released: "2026-03-21"
license: MIT
url: "https://github.com/sumitchongder/QR-SPPS"
repository-code: "https://github.com/sumitchongder/QR-SPPS"

abstract: >
  QR-SPPS (Quantum-Native Retail Shock Propagation and Policy Stress Simulator)
  is a five-notebook quantum pipeline implemented on the Fujitsu QSim A64FX
  cluster (QARP v0.4.4) that encodes a 40-node, 4-tier retail supply network
  as a 40-qubit Ising Hamiltonian and applies VQE, ADAPT-VQE, and DOS-QPE
  to detect cascade failures (39/40 nodes), rank counterfactual policy
  interventions in real time, and quantify Boltzmann-weighted tail risk.
  The Fujitsu A64FX achieves 2.8× more cascade detections than a standard
  workstation, with R²=0.9948 scaling confirmed across 6 MPI data points.

keywords:
  - quantum computing
  - supply chain risk
  - variational quantum eigensolver
  - ADAPT-VQE
  - DOS-QPE
  - Ising Hamiltonian
  - Fujitsu QARP
  - A64FX
  - cascade failure
  - quantum advantage

preferred-citation:
  type: article
  title: >
    QR-SPPS: Quantum-Native Retail Supply Chain Risk Simulation via VQE,
    ADAPT-VQE Counterfactual Policy Ranking, and DOS-QPE Boltzmann Tail Risk
    Quantification
  authors:
    - family-names: Chongder
      given-names: Sumit Tapas
  journal: "arXiv preprint"
  year: 2026
  url: "https://arxiv.org/abs/2604.00035"
  doi: "10.48550/arXiv.2604.00035"
  identifiers:
    - type: doi
      value: "10.48550/arXiv.2604.00035"
    - type: url
      value: "https://arxiv.org/abs/2604.00035"