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Quantum Optimization Case Study

How we engineered a 200x performance boost using WebAssembly and quantum-inspired algorithms.

Explore the Study

Project Overview

The Challenge

A global logistics company needed to optimize route calculations for a network of 10,000+ global trucks, planes, and ships. Traditional solutions couldn't process all permutations within time constraints.

The Solution

We developed a quantum-inspired optimization engine using parallel WebAssembly algorithms. The solution simulated particle behavior and used probabilistic search trees to find near-optimal routes in seconds.

Results

200×
Faster than legacy systems
$4.2M
Annual savings for clients
99.9%
Success rate
15ns
Cycle time

Technical Implementation

Architecture

  • WebAssembly Core
  • Quantum-Like Simulation
  • Real-Time Graph Processing

Performance Stack

  • WASM Execution Layer (200k LOC)
  • Particle Swarm Algorithm
  • Real-Time Constraint Solver
  • 64-threaded SIMD Optimization

Project Timeline

2024 Q3

Initial prototype of quantum-inspired optimization using WASM and parallel threading.

2024 q4

Client beta testing with 500+ fleet vehicles. Achieved 150x speed increase.

2025 q1

Full production deployment with 99.9% reliability across 100+ global nodes.

2025 q2

Optimized for quantum-hybrid architectures. Supports up to 2M+ nodes.