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28 lines (28 loc) · 1.16 KB
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cff-version: 1.2.0
message: "If you use this software, please cite it as below."
title: "qperm: Quantum-Accelerated Sign-Flip Permutation Inference for Neuroimaging"
abstract: >-
An R package for one-sample and paired sign-flip permutation tests on group neuroimaging
data with family-wise-error corrected p-values, offering a proposed quantum
amplitude-estimation estimator alongside the classical permutation test. The quantum
estimator is emulated in pure R and can optionally run as real quantum circuits through
Qiskit. It is a query-complexity demonstration verified against exact ground truth, not a
runtime speedup on classical hardware. Extends the quantum statistical bootstrap of Chen,
Ma and Zhong (2026) to the max-over-voxels and cluster-extent statistics used for
family-wise error control in functional MRI.
type: software
authors:
- family-names: Lee
given-names: Kiju
email: kiju.lee22@gmail.com
affiliation: Yonsei University
version: 0.1.0
license: MIT
repository-code: "https://github.com/kikijuki/qperm"
keywords:
- permutation testing
- quantum amplitude estimation
- neuroimaging
- fMRI
- family-wise error rate
- R package