Quantum Computing Feasibility Analysis

Number of Qubits: Error Rate (%): Runtime (seconds):

The Quantum Computing Feasibility Analysis uses the following formula:

Feasibility Score = (Qubit Efficiency × Runtime Factor × Error Tolerance) × 100
Where:
- Qubit Efficiency = (Number of Qubits / 100) × (1 – Error Rate / 100)
- Runtime Factor = 1 / (Runtime / 1000) (normalized to milliseconds)
- Error Tolerance = 1 – (Error Rate / 50) (threshold at 50%)

Enter the number of qubits in the “Number of Qubits” field.
Enter the error rate (as a percentage) in the “Error Rate (%)” field.
Enter the runtime in seconds in the “Runtime (seconds)” field.
Optionally, use the parameter buttons to focus on specific quantum metrics (e.g., Gate Fidelity).
Click “Analyze Feasibility” to see your results.
Scroll to the “Results” section for detailed calculations.
Use the share buttons to share your analysis or embed the calculator.

Example 1: Qubits = 50, Error Rate = 1.0%, Runtime = 100
Qubit Efficiency = (50 / 100) × (1 – 0.01) = 0.495
Runtime Factor = 1 / (100 / 1000) = 0.01
Error Tolerance = 1 – (1.0 / 50) = 0.98
Feasibility Score = (0.495 × 0.01 × 0.98) × 100 = 0.4851%
Example 2: Qubits = 100, Error Rate = 0.5%, Runtime = 50
Qubit Efficiency = (100 / 100) × (1 – 0.005) = 0.995
Runtime Factor = 1 / (50 / 1000) = 0.02
Error Tolerance = 1 – (0.5 / 50) = 0.99
Feasibility Score = (0.995 × 0.02 × 0.99) × 100 = 1.968%
Example 3: Qubits = 20, Error Rate = 2.0%, Runtime = 200
Qubit Efficiency = (20 / 100) × (1 – 0.02) = 0.196
Runtime Factor = 1 / (200 / 1000) = 0.005
Error Tolerance = 1 – (2.0 / 50) = 0.96
Feasibility Score = (0.196 × 0.005 × 0.96) × 100 = 0.0941%