Waves of change by Quantum SIPOC

Peter Haenni

• 1 min read
Waves of change by Quantum SIPOC
SIPOC map auto generated by the ProcessHorizon web app

Quantum mechanics describes how probability amplitudes evolve, while Quantum reality describes how events emerge from those amplitudes.

In an event-driven SIPOC model framing

  • Reality is not a static object set
  • Reality is a process network
  • Events, not particles, are the primary output units
  • Causes propagate as probability amplitudes
  • Classical facts are stabilized outputs of quantum processes

Using the event-driven SIPOC cause–effect model

  • Suppliers: Quantum fields & initial conditions
  • Inputs: Wavefunctions & interaction parameters
  • Process: Deterministic evolution until event interaction
  • Event Trigger: Measurement or decohering interaction
  • Outputs: Discrete probabilistic outcomes
  • Customers: Classical observers and devices

The SIPOC transformation model shifts quantum research from “what is the wavefunction?”
to
“what event architecture produces observed reality?”

That change in framing can generate new experimental and theoretical directions.

Scenario Analysis framework for Simulations

Scenario analysis asks:

What changes if we alter the supplier, input, process, or trigger conditions ?

In quantum systems, small changes in interaction structure produce radically different outputs.

SIPOC modeling makes those leverage points explicit.

Caveat: I am not a physicist but interested in systems engineering and process modeling which triggered my interest in basic Quantum theory & computing.

My explorations of diverse SIPOC use cases uncovered the universal power of the event-driven SIPOC concept model to explain action-related phenomena like Quantum, AI (inference model) or economics (Supply & Demand feedback model). Credit to Openai’s ChatGPT for this SIPOC-based event-driven Quantum mechanics & reality explanations.

P.S.: Think about, who is the master of the original thought process yielding such new insights in understanding of complex systems ?  

Event-driven SIPOC: Sophisticated simplicity for complex systems

Explore further: https://processhorizon.com

Using the following link you can access this sandbox SIPOC model in the ProcessHorizon web app and adapt it to your needs (easy customizing) and export or print the automagically created visual AllinOne SIPOC map as a PDF document or share it with your peers: https://app.processhorizon.com/enterprises/PJotFWCPJTmF93ASZpmJHK7Z/frontend