Zero-Operation Dynamics
Treating zero-like operations not merely as null values, but as structural operations that generate candidate reconfigurations in probability distributions.
Independent Researcher
Network Science
Complex Systems
Distributional Reconfiguration
I study how distributional structures can be reconfigured through zero-operation-like transformations, reachable candidate spaces, and selection function dynamics.
Image credit: NASA
Research Overview
Exploring candidate generation, selection dynamics, and structure formation in probability spaces.
My current research develops minimal mathematical and numerical models for understanding how probability distributions can be transformed, selected, stabilized, or frozen under different operation bases and evaluation functions.
The work is exploratory and currently focuses on four-state probability distributions, quantum correlation distributions, reachable geometry, selection-induced attractors, and cost-induced freezing.
Research Focus
Core Themes
Reachable Probability Geometry
Studying how operation bases span reachable regions, including convex-like candidate spaces and symmetry-constrained reachability.
Selection Function Dynamics
Investigating how selection functions induce attractor-like dynamics, basin structures, policy paths, and cost-induced freezing regimes.
Research Outputs
Publications & Preprints
Structural Loss in Multi-Temporal Networks: A Projection-Based Perspective on Observation-Dependent Variability
Accepted for Complex Adaptive Systems 2026. This paper proposes a projection-based perspective on structural loss in multi-temporal networks, focusing on how observation-dependent variability can emerge when higher-dimensional or multi-layered structures are mapped into observable representations.
Zero-Operation Framework for Distributional Reconfiguration
Working paper series covering quantum noise reconfiguration, mathematical zero-operations, target-based control, and reachable probability geometry.
Selection Function Dynamics
Ongoing work on candidate generation, selection-induced attractors, basin structures, action thresholds, and cost-induced freezing.
Current Projects
Research Roadmap
Phase A — Mathematical Models
Zero-operation dynamics, reachable sets, selection functions, attractors, and cost-induced freezing.
Phase B — Control Formulation
Target-reaching control, cost-aware policies, and action-threshold-aware control.
Phase C — Quantum Simulation
Mapping mathematical operations back to Qiskit noise models, backend-derived noise, and minimal hardware experiments.
Research Status
This research is exploratory and currently based on minimal mathematical models and numerical experiments. It does not yet claim physical implementation on quantum hardware, nor does it claim that noise is a computational resource.
Contact
Get in touch
For research discussion, collaboration, or inquiries, please contact me by email.
tatsuki@hirose-lab.org