Quantum Computer 2.0: Self-Organizing Thermal Engine Paradigm — Abandoning Isolation for Environment-Induced Optimization
Abstract
This paper proposes Quantum Computer 2.0, a new paradigm that abandons strict isolation of quantum systems and instead exploits controlled environment-induced dynamics as a computational resource. By encoding problems into an energy landscape and using engineered decoherence to drive autonomous relaxation, computation emerges as a self-organizing thermodynamic process, enabling scalable and robust optimization beyond gate-based quantum computing.
Fields of Study & Subjects
Quantum Computing Algorithms and Architecture
Neural Networks and Reservoir Computing
Quantum many-body systems
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 4 January 2026
- Document type
- Thesis