Yoichi Tsujisawa

SRFM (Self-Regulating Field Model)
SRFM Quantum
Building SRFMQuantumAnalyzer
GitHub ↓

[Yoichi Tsujisawa @yoichi_wind]

購入させて頂きました！
擦り切れるまで熟読したいと思います。

@hottaqu

[Yoichi Tsujisawa @yoichi_wind]

@Tebasaki_lab 思考の言語化がお見事です👏

[Yoichi Tsujisawa @yoichi_wind]

@Tebasaki_lab 私も最近鍛え始めたんですが、ご存知かとは思いますが、トレ後にシャワーなどで冷水かけて冷やすと筋肉痛が緩和されますよ🤗
タンパク質しっかり摂って休んで下さいね。
散歩などは筋肉痛緩和に良いらしいです🫡

[Yoichi Tsujisawa @yoichi_wind]

@Tebasaki_lab 親目線でうるっとしたユーザーです🙋🏻
手羽先さんを抱きしめたくなりましたw

[Yoichi Tsujisawa @yoichi_wind]

One of the most interesting outcomes:

Direct erasure was not the dominant behavior.

The perturbation landscape was instead dominated by:

metastable redistribution
partial retention
gradual erosion

rather than binary survival/collapse transitions.

Phase16 is planned as IBM Quantum hardware-constrained validation.

[Yoichi Tsujisawa @yoichi_wind]

SRFM Quantum Phase15 released.

“Adaptive Structural Survival Metrics and Metastable Basin Dynamics”

Phase15 introduces:

Structural Survival Score (SSS)
Erosion Risk Index (ERI)
Basin Competition Index (BCI)
Redistribution Profiles (RP)

Main result:

Structural memory degradation appears dominated by metastable redistribution and gradual erosion rather than abrupt collapse.

Zenodo:
https://t.co/xLLvG3PK5x
GitHub:
https://t.co/w9fiVTnfPl

#SRFM #ComplexSystems #Metastability #NetworkDynamics #QuantumResearch

[Yoichi Tsujisawa @yoichi_wind]

Phase15 revealed a strong survival–erosion duality.

Structural Survival Score (SSS)
vs
Erosion Risk Index (ERI)
show a near-perfect negative relation across the perturbation grid.
Instead of sharp collapse boundaries, the system forms a broad metastable erosion manifold.

This extends:

Phase13:
topology-only memory

↓

Phase14:
adaptive basin geometry
↓

Phase15:
structural survival diagnostics

[Yoichi Tsujisawa @yoichi_wind]

Phase14 suggests that
persistent topology-memory behaves as:

���broad metastable basin geometry”

rather than sharply protected states.

Observed behavior includes:

- high basin entropy
- thick transition boundaries
- metastable redistribution
- relaxation hierarchy

transport relaxation
≠
topology relaxation

#QuantumComputing
#ComplexSystems
#NetworkScience
#NonEquilibrium
#Metastability
#SRFM

[Yoichi Tsujisawa @yoichi_wind]

SRFM Quantum Phase14 released.

“Persistent topology-only memory”
is now interpreted as
adaptive basin geometry.

Phase14 investigates:

- metastable topology-memory basins
- perturbation-driven erosion
- probabilistic memory redistribution
- broad transition-boundary regions

Key result:

memory degradation behaves more like
gradual basin erosion
than abrupt collapse.

Zenodo:
https://t.co/mgoBTLpq5J

GitHub:
https://t.co/XAb5qu2vJA

#QuantumComputing
#ComplexSystems
#NetworkScience
#NonEquilibrium
#Metastability
#SRFM

[Yoichi Tsujisawa @yoichi_wind]

One of the most important Phase14 results:

No collapse-boundary regime was detected.

Instead of binary collapse,
SRFM memory states show:

- gradual erosion
- partial retention
- probabilistic redistribution
- metastable degradation pathways

Topology-memory survival remains dominant
even under strong perturbation.

#QuantumComputing
#ComplexSystems
#NetworkScience
#NonEquilibrium
#Metastability
#SRFM

[Yoichi Tsujisawa @yoichi_wind]

Phase13 also introduces perturbation-supported adaptive memory analysis.

Observed memory states included:

topology_only_memory_survived
partial_topology_memory
mixed_or_weak_memory
memory_erased

suggesting a graded adaptive memory landscape rather than a binary memory/no-memory transition.

[Yoichi Tsujisawa @yoichi_wind]

SRFM Quantum Phase13 released.

Phase13 identifies persistent “topology-only memory” states in adaptive transport systems:

observable transport can converge while hidden coupling topology retains structural memory of prior transport history.

Key phenomena:

adaptive hysteresis
transport/topology memory separation
persistent topology retention
perturbation-supported memory basins

Zenodo:
https://t.co/bOhYTz0j7k
GitHub:
https://t.co/VZICbnJzbi

#SRFM #ComplexSystems #AdaptiveSystems #NetworkDynamics #Hysteresis

[Yoichi Tsujisawa @yoichi_wind]

One of the central findings of Phase13:

transport-memory and topology-memory can decouple.

In many simulations:

observable transport converged
but adaptive coupling topology remained history-dependent

This produced persistent “topology-only memory” states.

[Yoichi Tsujisawa @yoichi_wind]

Phase12 moves SRFM Quantum toward:

adaptive transport topology formation.

Transport is no longer treated as propagation on a fixed structure.

Instead:

the coupling topology itself evolves dynamically through synchronization and reinforcement.

This creates:

transport islands
concentration fronts
fracture precursors
adaptive phase selection

#AdaptiveNetworks #ComplexSystems #NonEquilibrium #TransportDynamics

[Yoichi Tsujisawa @yoichi_wind]

SRFM Quantum Phase12 released.

Adaptive Transport Networks and Self-Reinforcing Instability Dynamics

Phase12 extends SRFM Quantum from fixed coherent transport toward adaptive transport topology formation.

Main result:

weak fixed transport structures can transition into sustained coherent transport states under adaptive reinforcement.

Core adaptive law:

dC_ij/dt = alpha * M_i * M_j - gamma * C_ij

Zenodo:
https://t.co/5vCwLWQau6
GitHub:
https://t.co/vWfHIkxakV

#SRFM #QuantumComputing #ComplexSystems #NetworkScience #AdaptiveSystems

[Yoichi Tsujisawa @yoichi_wind]

Phase12 Figure 2:
Fixed vs Adaptive Transport Phase Map
Adaptive coupling does not behave as uniform amplification.

Instead, transport separates into:

self-reinforced transport

latent transport activation
adaptive suppression
Most importantly:

weak fixed transport structures can become sustained coherent transport states.

This suggests transport may reorganize the topology that carries it.

#ComplexSystems #NetworkDynamics #Synchronization #AdaptiveTransport

[Yoichi Tsujisawa @yoichi_wind]

Phase11 represents a shift from:

“Does instability exist?”

toward:

“Can instability survive and propagate?”

This phase focuses on:

synchronization persistence
coherent transport
suppression hierarchy
dynamic mode interaction

#SRFM #DynamicSystems #TransportTheory

[Yoichi Tsujisawa @yoichi_wind]

SRFM Quantum Phase11 released.

Phase11 introduces a transition from:

static instability classification

toward:

dynamic coherent transport theory.

Main idea:

instability may be better described as:

“transport-capable coherent propagation”

rather than static activation alone.

Zenodo:
https://t.co/6rYUP8W6lG
GitHub:
https://t.co/tj8MTNdv12

#SRFM #QuantumComputing #ComplexSystems #Synchronization

[Yoichi Tsujisawa @yoichi_wind]

Phase11 also introduces:

“hidden transport instability”

Structures that appear weak under static thresholds,
but maintain coherent propagation dynamically.
This became one of the key conceptual transitions toward:

dynamic instability field theory.

#SRFM #Synchronization #NetworkDynamics