Skip to content

Ashwath-Raj/SilverWing-QX-Aviation

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

7 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Distributed Quantum Cluster for Aviation Systems

Overview

This project demonstrates a distributed quantum computing simulation cluster designed to explore real-world aviation optimization problems. Instead of limiting quantum workloads to a single machine, this system distributes simulation execution across multiple laptops using MPI, enabling scalable experimentation with large quantum circuits, hybrid AI routing logic, and secure communication models.

The platform is built as an experimental infrastructure layer for validating quantum advantage claims in operational airspace scenarios such as routing congestion mitigation, decision latency reduction, and cryptographic resilience.


Vision

Modern aviation systems operate under extreme constraints: dense traffic, adversarial threats, unpredictable weather, and real-time decision requirements.

This project explores whether distributed quantum simulation combined with classical orchestration can:

  • Improve routing optimization efficiency
  • Enhance secure communication protocols
  • Enable faster probabilistic decision modeling
  • Provide scalable experimentation environments for quantum algorithms

The long-term goal is to transition from simulation clusters to hybrid execution pipelines integrating real quantum hardware APIs.


System Architecture

The platform follows a Master–Worker MPI architecture.

Master Node Responsibilities

  • Workload orchestration
  • Circuit partitioning and distribution
  • Aggregation of simulation outputs
  • Dashboard telemetry generation
  • IBM Quantum API workload dispatch (future phase)

Worker Node Responsibilities

  • Execution of assigned quantum circuit segments
  • Statevector / shot simulation using Aer MPI backend
  • Resource utilization reporting
  • Result serialization and return to master

Core Features

Distributed Quantum Simulation

  • MPI based parallel execution
  • Multi-laptop cluster scaling
  • Support for high qubit count statevector experiments
  • Performance benchmarking across nodes

Aviation Optimization Experiments

  • Quantum routing prototypes
  • Traffic congestion modeling circuits
  • Probabilistic conflict resolution simulations
  • Experimental flight path optimization logic

Quantum Security Layer

  • QKD protocol simulation
  • Adversarial interception modeling
  • Secure key exchange validation scenarios

Hybrid Quantum-Classical Intelligence

  • Integration with AI routing heuristics
  • Reinforcement driven circuit parameter tuning
  • Classical preprocessing and quantum evaluation loops

Visualization and Observability

The project includes a telemetry and analytics dashboard layer designed to showcase distributed advantage.

Planned visual outputs include:

  • Statevector magnitude heatmaps
  • Cluster load distribution graphs
  • Execution latency timelines
  • Node level memory and CPU utilization plots
  • Quantum vs classical performance comparison charts

Hardware Integration Roadmap

Future phases introduce real quantum hardware execution pathways.

  • IBM Quantum API workload submission
  • Hybrid execution fallback mechanisms
  • Queue latency modeling
  • Hardware noise profiling and mitigation experiments

Experimental Military Aviation Context

This system is intentionally structured around high-constraint operational environments resembling military airspace conditions.

Research directions include:

  • Dynamic threat avoidance routing
  • Secure airborne communication mesh simulation
  • Distributed decision intelligence modeling
  • Tactical congestion management prototypes

These experiments are exploratory and aim to evaluate feasibility rather than deliver production-grade defense systems.


Cluster Deployment Model

Designed for rapid laboratory deployment:

  • Master laptop initiates cluster
  • Worker nodes join via shared host configuration
  • Minimal dependency bootstrap
  • Cross-platform support via Linux and WSL

This enables academic teams to demonstrate distributed quantum workloads without dedicated HPC infrastructure.


Current Demonstration Scope

  • MPI connectivity validation
  • Distributed QuantumVolume circuit execution
  • Statevector simulation scaling tests
  • Performance envelope measurement

Future Directions

  • True circuit slicing and distributed tensor contraction
  • GPU accelerated hybrid nodes
  • Automated cluster discovery
  • Adaptive workload scheduling
  • Real-time cockpit decision simulation prototypes

Philosophy

This project rejects purely theoretical quantum experimentation. It focuses instead on observable system level advantage, measurable performance metrics, and deployable distributed architectures that bring quantum research closer to operational reality.


About

Distributed quantum computing cluster for aviation optimization, QKD security, and hybrid AI routing. MPI powered simulators, IBM Quantum API workloads, scalable statevector demos, real time dashboards, and performance graphs. Designed for multi laptop labs to prove quantum advantage in practical airspace systems. Built for scale.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

 
 
 

Contributors