Quantum Computing Feasibility Analysis evaluates the viability of a quantum computing project based on complexity, number of qubits, error tolerance, and application type. Select or input the parameters and calculate the feasibility score.

How to Use Quantum Computing Feasibility Analysis:

1. Select the project complexity (Low, Medium, High).
2. Enter the number of qubits and error tolerance using the keypad or direct input; use “Next” to switch fields.
3. Select the application type (e.g., Cryptography, Optimization).
4. Click “Calculate” to see the feasibility score and details.
5. Use “Share Result” to get shareable text or “Copy Result” to copy to clipboard.

Feasibility Score Formula:

Score:

Where: C = Complexity (Low=1, Medium=2, High=3), Q = Qubits, E = Error Tolerance (%), A = Application Type (Cryptography=1, Optimization=2, Simulation=3, Machine Learning=2.5)

Feasibility: >80 (Highly Feasible), 50–80 (Moderately Feasible), <50 (Low Feasibility)

Important Notes:

• Inputs for qubits and error tolerance must be positive numbers (qubits ≥ 1, error tolerance ≥ 0).
• The feasibility score is a simplified metric and assumes current quantum technology constraints.
• Higher qubits and error rates reduce feasibility; simulation applications may increase feasibility due to specialized algorithms.
• Clipboard access requires a secure context (HTTPS). If copying fails, try accessing over HTTPS or copy manually.