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sQUANTUM OPTIMISATION SERVICES
WHAT IT IS
At its core, QOS is a decision engine:
Input Data → Optimization Model → Solver (Quantum/Hybrid) → Best Decision Output
Instead of brute-force searching millions of possibilities, it:
- Encodes the problem mathematically (QUBO / Ising model)
- Uses quantum-inspired or quantum hardware solvers
- Returns optimal or near-optimal solutions
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WHY IT MATTERS
Traditional optimization breaks when:
- Combinations explode (NP-hard problems)
- Real-time decisions are needed
- Trade-offs are complex (cost vs speed vs sustainability)
QOS advantages:
- Faster exploration of solution space
- Better solutions under constraints
- Continuous re-optimization (real-time systems)
- Efficiency gains (fuel, cost, emissions)
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HOW IT WORKS (SYSTEM ARCHITECTURE)
- Data Layer
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Optimization Model Layer
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Solver Layer
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Decision Engine
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API + Dashboard Layer
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EXAMPLE (SIMPLIFIED)
Goal:
Minimize total cost while meeting deadlines.
Traditional approach:
- Greedy or linear programming
Quantum approach:
- Encode routes as binary variables
- Evaluate combinations simultaneously
