A Dual-Axis Quantum-Resilience Framework for Autonomous Shipping

Quantum technology affects autonomous shipping along two paths that are usually studied separately. First, a cryptographically relevant quantum computer can break the public-key algorithms that authenticate maritime communications and adversaries can then harvest encrypted traffic to decrypt it later. Second, quantum gravimeters, magnetometers, and atomic clocks can help supply position and time when satellite navigation is jammed or spoofed. An autonomous vessel faces both of these situations at once with little human fallback. Based on the structured, reproducible review reported here, we found no framework that treats these two quantum-related axes as a single posture and scales it to vessel autonomy. This paper proposes such a framework. It is conceptual, not an empirically validated model. It defines a cryptographic axis and a resilient positioning, navigation, and timing axis, each read through anticipate, withstand, and recover and mapped to the four International Maritime Organization degrees of autonomy. Its central, testable claim is that the two axes are functionally non-substitutable, which we distinguish from statistical independence. A proposed autonomy-scaling principle, mediated by effective human-intervention capability, sets a non-compensatory required posture. A worked illustration, a real-vessel desk assessment, a validation programme, and a comparison with IMO, NIST, and ISO/IEC instruments are provided.

Authors

Institutions

Publication Details

Journal
Journal of Marine Science and Engineering
Published
2026-07-25
DOI
https://doi.org/10.3390/jmse14151362
Primary Topic
Maritime Navigation and Safety
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Dual-Axis Quantum-Resilience Framework for Autonomous Shipping

Simon Baradziej
Journal of Marine Science and Engineering
Maritime Navigation and Safety
article

A Dual-Axis Quantum-Resilience Framework for Autonomous Shipping

Simon Baradziej
article en

Abstract

Quantum technology affects autonomous shipping along two paths that are usually studied separately. First, a cryptographically relevant quantum computer can break the public-key algorithms that authenticate maritime communications and adversaries can then harvest encrypted traffic to decrypt it later. Second, quantum gravimeters, magnetometers, and atomic clocks can help supply position and time when satellite navigation is jammed or spoofed. An autonomous vessel faces both of these situations at once with little human fallback. Based on the structured, reproducible review reported here, we found no framework that treats these two quantum-related axes as a single posture and scales it to vessel autonomy. This paper proposes such a framework. It is conceptual, not an empirically validated model. It defines a cryptographic axis and a resilient positioning, navigation, and timing axis, each read through anticipate, withstand, and recover and mapped to the four International Maritime Organization degrees of autonomy. Its central, testable claim is that the two axes are functionally non-substitutable, which we distinguish from statistical independence. A proposed autonomy-scaling principle, mediated by effective human-intervention capability, sets a non-compensatory required posture. A worked illustration, a real-vessel desk assessment, a validation programme, and a comparison with IMO, NIST, and ISO/IEC instruments are provided.

Journal of Marine Science and EngineeringVol. 14(15)
UiT The Arctic University of Norway (NO)
Openalex Percentile: Top 11%
Maritime Navigation and Safety
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.