QDT FLOW
Yanina Vallejos is a quantum hacker, and the methodology she founded to materialize her visions is,
Quantum Design Thinking (QDT).
Yanina Vallejos is a quantum hacker, and the methodology she founded to materialize her visions is,
Quantum Design Thinking (QDT).
STEP 01
Everything created by humans can be transformed into an observable object.
Companies, technologies, systems, products, infrastructures, operations, behaviors, and intelligence models.
QDT – Quantum Design Thinking begins by observing the object beyond its visible surface.
STEP 02
Once observed, the system becomes an operational object.
At this stage, its structure, dimensions, constraints, patterns, and hidden logic become visible.
The object can now be measured, manipulated, and redesigned.
STEP 03
QDT-Quantum Design Thinking explores the object across multiple possible states.
The goal is not optimization.
The goal is discovering what the system can become next.
STEP 04
To create a new operational reality, previous structures must collapse.
QDT-Quantum Design Thinking identifies:
This creates the conditions for transformation.
STEP 05
Using
new operational architectures are generated. These may include:
STEP 06
QDT – Quantum Design Thinking does not redesign only what exists.
It designs future operational versions before they emerge.
The result is a system prepared for intelligence, adaptation, and evolution.
| Dimension | QDT |
|---|---|
| Nature | A system for designing realities, not just solutions |
| Scope | Operates across models, systems, architectures, and matter |
| Starting Point | Begins with “why it exists” and “how it should exist” |
| Object Handling | Converts everything into a designable object |
| Design Layer | Works across multiple dimensions simultaneously |
| Time Logic | Designs from future states, not present constraints |
| Thinking Model | Non-linear, systemic, and multi-scalar |
| Intervention Level | Structural, not superficial |
| Output | New configurations of reality (models, systems, entities) |
| Adaptability | Built for continuous evolution |
| Scalability | Enabled through architecture, not effort |
| Intelligence Integration | Natively integrates AI / AGI as system layers |
| System Design | Designs complete systems, not isolated parts |
| Architecture Design | Creates structures that sustain growth and change |
| Model Design | Defines what the model is and what it becomes |
| Innovation Type | Structural and transformational |
| Problem Approach | Redefines the problem before solving it |
| Constraint Handling | Identifies and redesigns hidden limitations |
| Reality Interaction | Observes, deconstructs, and reconfigures systems |
| Execution | Moves from concept to deployable systems |
| Material Layer | Extends into matter (QMD) and physical systems |
| Human Layer | Integrates behavior, cognition, and social systems |
| Market Impact | Creates or reshapes markets |
| Risk Design | Anticipates and structurally mitigates risk |
| Evolution Logic | Designs systems that evolve autonomously |
| Perspective | Designer as architect of systems and realities |
| Comparison to DT | Moves from user-centered to system-centered design |
| Role of Designer | Not a problem solver, but a system creator |
| Final State | Living, adaptive, intelligent systems |