QPDS Interstellar Reconstruction Vessel (QIRV): A Theoretical Engineering Architecture for Online Deep Space Exploration

This paper introduces the QPDS Interstellar Reconstruction Vessel (QIRV), a theoretical engineering architecture for future deep-space and interstellar exploration. Unlike conventional propulsion-based spacecraft designed for the physical transportation of astronauts and scientific infrastructure, the proposed QIRV framework is based on the concept of establishing a reconstructed scientific presence through non-local informational synchronization. The architecture integrates eight theoretical technological subsystems, including the QPDS Reconstruction Core, Online Crew Reconstruction System, Adaptive Bio-Informational Matrix, Environmental Reconstruction Chamber, Distributed Surface Computational Network, Interstellar Exploration Network, Quantum Defensive Synchronization System, and Instant Reconstruction Reconfiguration System. The proposed framework conceptually shifts deep-space exploration from a paradigm centered on mass transportation toward one based on informational engineering and reconstructed operational environments. This work is presented as a theoretical and conceptual engineering model intended to explore future possibilities for conducting scientific operations across interstellar distances without requiring direct physical deployment. This work presents a theoretical and conceptual framework and does not claim experimental validation at the present stage. This paper is part of the QPDS theoretical research series. Previous Papers in the QPDS Research Series Paper I:QPDS_Paper_I_Alireza_Akbarzadeh.pdf Paper II:QPDS_Paper_II_Alireza_Akbarzadeh.pdf

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-06-16
DOI
https://doi.org/10.5281/zenodo.20711311
Primary Topic
Spacecraft Dynamics and Control
Type
article
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article

QPDS Interstellar Reconstruction Vessel (QIRV): A Theoretical Engineering Architecture for Online Deep Space Exploration

Akbarzadeh Alireza
Zenodo (CERN European Organization for Nuclear Research)
Spacecraft Dynamics and Control
article

QPDS Interstellar Reconstruction Vessel (QIRV): A Theoretical Engineering Architecture for Online Deep Space Exploration

Akbarzadeh Alireza
article en

Abstract

This paper introduces the QPDS Interstellar Reconstruction Vessel (QIRV), a theoretical engineering architecture for future deep-space and interstellar exploration. Unlike conventional propulsion-based spacecraft designed for the physical transportation of astronauts and scientific infrastructure, the proposed QIRV framework is based on the concept of establishing a reconstructed scientific presence through non-local informational synchronization. The architecture integrates eight theoretical technological subsystems, including the QPDS Reconstruction Core, Online Crew Reconstruction System, Adaptive Bio-Informational Matrix, Environmental Reconstruction Chamber, Distributed Surface Computational Network, Interstellar Exploration Network, Quantum Defensive Synchronization System, and Instant Reconstruction Reconfiguration System. The proposed framework conceptually shifts deep-space exploration from a paradigm centered on mass transportation toward one based on informational engineering and reconstructed operational environments. This work is presented as a theoretical and conceptual engineering model intended to explore future possibilities for conducting scientific operations across interstellar distances without requiring direct physical deployment. This work presents a theoretical and conceptual framework and does not claim experimental validation at the present stage. This paper is part of the QPDS theoretical research series. Previous Papers in the QPDS Research Series Paper I:QPDS_Paper_I_Alireza_Akbarzadeh.pdf Paper II:QPDS_Paper_II_Alireza_Akbarzadeh.pdf

Zenodo (CERN European Organization for Nuclear Research)
Amol University of Special Modern Technologies (IR)
Industry, innovation and infrastructure
Openalex Percentile: Top 3%
Spacecraft Dynamics and Control
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