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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"
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