Skip to content
DraconiticResearch
Search Sources API
197,787 studies31 sourcesUpdated 20 min ago
PreprintCC BY 4.0arXiv

Cost of Delay for Post-Quantum Migration: Putting Classical and Harvest-Now-Decrypt-Later Risk on One Ordered List

Abstract

Organisations deciding which assets to migrate to post-quantum cryptography first, and how that work competes with a backlog of classical findings, lack a common unit: post-quantum scores are dimensionless and quantum-only, while classical risk is annualised loss. We express both threats as a cost of delay in currency per year on the same asset. The quantum term is the rate at which deferring migration commits irreversible harvest-now-decrypt-later loss, computed from required confidentiality duration, recordable traffic share and data turnover, using a quantum-arrival law fitted in closed form to published expert anchors. A competing-risks factor couples the two terms so the same loss is not counted twice. We prove that the construction is not a weighted sum of a classical and a quantum score, give a dominance threshold on the classical hazard that is independent of asset value, and show that the induced order is optimal for sequencing work under constant loss rates. We verify the implementation by simulation, adaptive quadrature and a second implementation. On four public systems with parameters assumed from public documentation, the quantum term reorders the asset list beyond input uncertainty for one system only (signal-to-noise 1.36 against 0.14-0.46), moves specific long-lived, quiet, recordable assets decisively, and otherwise changes magnitudes. Asset value and turnover explain 73-91% of the uncertainty in the quantum term; the arrival date explains 3-17%. The case studies are illustrative and are not validated against outcomes.

Related

  1. Putting a Temperature on Electron Correlation
    Paul G. Graf, Florian Matz, Markus Penz +1
    arXivPreprintCC BY 4.0Full textPhysical chemistryCondensed matterarXiv
  2. Simulation of quantum entangled states by classical probabilistic models
    Andrey Akhmeteli
    HALPreprintPublisher termsFull textGeneral physicsHAL
  3. Gap Sensitivity and Bottleneck Migration in Sparse Constraint-Preserving Quantum Annealing
    Aruna Gupta, S. R. Hassan
    arXivPreprintCC BY 4.0Full textQuantum physics & quantum informationarXiv
  4. Wasserstein-2 gradient flows and the geometry of entropy production in classical and quantum stochastic thermodynamics
    Olga Movilla Miangolarra, Ralph Sabbagh, Artemy Kolchinsky
    Physical Review ResearchPeer-reviewedPublisher termsStatistical & nonlinear physicsCrossref
  5. Pauli propagation enables fast classical simulation of strongly correlated quantum systems
    Chinmay Shrikhande, Arnab Bachhar, José Aarón Rodríguez-Jiménez +2
    PRX QuantumPeer-reviewedCC BY 4.0Quantum physics & quantum informationCrossrefAPS
BibTeX
@misc{shaw2026cost,
  title = {{Cost of Delay for Post-Quantum Migration: Putting Classical and Harvest-Now-Decrypt-Later Risk on One Ordered List}},
  author = {Animesh Shaw},
  howpublished = {arXiv},
  year = {2026},
  month = oct,
  doi = {10.48550/arxiv.2610.09029},
  eprint = {2610.09029},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2610.09029},
  note = {CC BY 4.0},
}
RIS
TY  - UNPB
TI  - Cost of Delay for Post-Quantum Migration: Putting Classical and Harvest-Now-Decrypt-Later Risk on One Ordered List
AU  - Animesh Shaw
PY  - 2026
DA  - 2026/10/06
PB  - arXiv
DO  - 10.48550/arxiv.2610.09029
UR  - https://arxiv.org/abs/2610.09029
AB  - Organisations deciding which assets to migrate to post-quantum cryptography first, and how that work competes with a backlog of classical findings, lack a common unit: post-quantum scores are dimensionless and quantum-only, while classical risk is annualised loss. We express both threats as a cost of delay in currency per year on the same asset. The quantum term is the rate at which deferring migration commits irreversible harvest-now-decrypt-later loss, computed from required confidentiality duration, recordable traffic share and data turnover, using a quantum-arrival law fitted in closed form to published expert anchors. A competing-risks factor couples the two terms so the same loss is not counted twice. We prove that the construction is not a weighted sum of a classical and a quantum score, give a dominance threshold on the classical hazard that is independent of asset value, and show that the induced order is optimal for sequencing work under constant loss rates. We verify the implementation by simulation, adaptive quadrature and a second implementation. On four public systems with parameters assumed from public documentation, the quantum term reorders the asset list beyond input uncertainty for one system only (signal-to-noise 1.36 against 0.14-0.46), moves specific long-lived, quiet, recordable assets decisively, and otherwise changes magnitudes. Asset value and turnover explain 73-91% of the uncertainty in the quantum term; the arrival date explains 3-17%. The case studies are illustrative and are not validated against outcomes.
ER  -