Florian Neukart

Chief Product Officer

Terra Quantum (Switzerland)

Switzerland

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About

Florian Neukart is the Chief Product Officer at Terra Quantum in Switzerland. His research primarily focuses on quantum memory and its applications in areas such as dark energy, quantum entanglement, and gravitational dynamics. Recent publications include explorations of the Quantum Memory Matrix, error correction in quantum computation, and the implications of dynamic dark energy in cosmology.

Articles (17)

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2025

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2025

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2025

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2025

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2025

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2025

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2024

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2024

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2024

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2024

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2024

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2024

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2024

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2024

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2023

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2023

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2022

Collaborators (2)

Michael Perelshtein

Aalto University

FINLAND

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Sergey Dolgov

University of Bath

UNITED KINGDOM

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Florian Neukart

Research Interests

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Articles (17)

Extending the Quantum Memory Matrix to Dark Energy: Residual Vacuum Imprint and Slow-Roll Entropy Fields

QMM‐Enhanced Error Correction: Demonstrating Reversible Imprinting and Retrieval for Robust Quantum Computation

Geometry-information duality: Quantum entanglement contributions to gravitational dynamics

Toward the stars: Technological, ethical, and sociopolitical dimensions of interstellar exploration

Extending the QMM Framework to the Strong and Weak Interactions

Quantum Entanglement Asymmetry and the Cosmic Matter–Antimatter Imbalance: A Theoretical and Observational Analysis

Fundamental Nature and Evolution of Dynamic Dark Energy

Interactions and Implications of Dynamic Dark Energy in Cosmology

Kinematrix Field Theory Unifying Fundamental Forces and Particles

Observational Constraints and Future of the Universe with Dynamic Dark Energy

Quantum Entanglement Asymmetry and the Cosmic Matter-Antimatter Imbalance: A Theoretical and Observational Analysis

Towards sustainable horizons: A comprehensive blueprint for Mars colonization

Towards sustainable horizons: A comprehensive blueprint for Mars colonization

The Quantum Memory Matrix: A Unified Framework for the Black Hole Information Paradox

Quantum state preparation using tensor networks

Quantum state preparation using tensor networks

Quantum-Enhanced Selection Operators for Evolutionary Algorithms

Collaborators (2)

Michael Perelshtein

Sergey Dolgov

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