Measure qubits across custom axes with precision. Review amplitudes, probabilities, purity, and projected eigenstates instantly. Plot collapse behavior, save reports, and verify normalization easily.
The page uses a single stacked layout, while the input grid shifts to three columns on large screens, two on medium screens, and one on mobile screens.
This example uses a balanced superposition in the Pauli-Z basis with full collapse strength.
| α | β | Basis | θ | φ | s | Trials | p+ | p- | Purity After |
|---|---|---|---|---|---|---|---|---|---|
| 0.707107 + 0.000000i | 0.707107 + 0.000000i | Pauli-Z | 0° | 0° | 1.0 | 1000 | 0.500000 | 0.500000 | 0.500000 |
It evaluates a two-level quantum state under projective measurement. It returns Born probabilities, collapsed outcome states, density matrices, purity, Bloch components, expected trial counts, and an observable expectation value based on your chosen eigenvalues.
Quantum state vectors must have total probability one. Automatic normalization keeps the physical interpretation valid and allows the calculator to compare states even when raw user inputs are scaled differently.
It interpolates between the original pure state and the fully decohered postmeasurement ensemble. A value of 0 leaves the density matrix unchanged, while 1 applies the full projective ensemble collapse model.
Not exactly. It offers a practical partial-collapse interpolation for analysis and visualization. That makes it useful for intuition, but it is not a full continuous weak-measurement or stochastic trajectory simulator.
They define the measurement axis on the Bloch sphere. θ controls the polar angle from the positive z direction, while φ sets the azimuthal phase around the equator.
If an outcome probability is exactly zero, that outcome never occurs for the chosen state and basis. Dividing by the square root of zero is not valid, so the corresponding collapsed state is undefined.
Purity shows how mixed the density matrix is. A pure state has purity 1. Smaller values indicate more decoherence or classical uncertainty in the postmeasurement ensemble.
They are probability-weighted estimates for repeated identical measurements. For example, if p+ is 0.30 and trials are 1000, the expected positive count is about 300.
Important Note: All the Calculators listed in this site are for educational purpose only and we do not guarentee the accuracy of results. Please do consult with other sources as well.