Qubit
State vectors, amplitudes, and computational-basis measurement
Build the single-qubit pure-state model and learn how complex amplitudes become measurement probabilities.
Establish the notation and probability model used by every later chapter.
Learning objectives
- Distinguish a classical bit value from a qubit state vector.
- Use Dirac notation for computational-basis states and pure qubit states.
- Compute computational-basis probabilities from complex amplitudes.

In this lesson
Learning objectives
- Distinguish a classical bit value from a qubit state vector.
- Use the computational basis states and Dirac notation without treating the basis as hidden classical reality.
- Compute measurement probabilities from complex amplitudes and the normalization condition.
- Explain why the slogan 'both 0 and 1' is incomplete.
A restrained scene
Alice enters a quiet observatory where a brass instrument has only two marks: 0 and 1. A classical device would already point to one mark before anyone reads it. This instrument is different, but the guide is careful: it is not indecisive, magical, or secretly storing two answers. It is described by a state vector, and the marks are outcomes of a particular measurement.
The point of the scene is limited. It gives us a reason to ask what is being represented. The formal answer is not a mood or a metaphor; it is a vector model.
Classical bit
- Has value 0 or 1 in the model.
- A read operation can reveal that value without changing the ideal bit.
- Probabilities describe ignorance about the value.
Pure qubit
- Is represented by a normalized state vector.
- Measurement returns one classical outcome in a chosen basis.
- Amplitudes and relative phase can affect later operations.
A qubit measurement produces a classical result, but the pre-measurement state is not itself a classical result.
Classical bit versus qubit
A classical bit is modeled as a variable whose value is either 0 or 1. If we are unsure which value it has, we can assign classical probabilities. That uncertainty is about our information.
A single pure qubit state is different. In the standard introductory model, it is a vector in a two-dimensional complex vector space. We often choose two reference vectors, written |0⟩ and |1⟩, and call them the computational basis. The measurement outcomes are labeled 0 and 1 because the computational basis is designed to interface with digital information, but the state before measurement is not merely an unknown classical bit.
Checkpoint
The two-dimensional complex state space
Dirac notation writes state vectors as kets. The computational basis states are
Any pure single-qubit state can be written as a linear combination:
The coefficients and are complex probability amplitudes. They are not probabilities themselves. A complex number has magnitude and phase, and both features matter in quantum mechanics. Probabilities appear only after applying the Born rule to a selected measurement basis.
Normalization
The total probability over a complete basis must be one.
Normalization is not an arbitrary convention. It ensures that a measurement in the computational basis returns either 0 or 1 with total probability one.
State form
|ψ⟩ = α|0⟩ + β|1⟩
The symbols |0⟩ and |1⟩ name basis vectors; α and β are complex coordinates of the state in that basis.
Qubit state explorer
State: cos(45°/2)|0⟩ + e^(i·0°) sin(45°/2)|1⟩
Computational-basis probabilities
Interference preview: after applying H
The computational-basis probabilities above never change with phase, but the outcome after applying H does — this is the interference the phase was hiding.
Measurement in the computational basis
When the state is measured in the computational basis, the Born rule gives
The outcome is a classical result. In the ideal projective model, the post-measurement state for that trial becomes the basis state corresponding to the observed outcome. If outcome 0 occurs, the post-measurement state is ; if outcome 1 occurs, it is .
A state with amplitudes sqrt(0.8) and i sqrt(0.2) gives 80% and 20% computational-basis probabilities. The phase i is invisible in this one measurement but can matter later.
Worked examples
Example 1: a basis state. For , we have and . Therefore
This is still a quantum state, but this particular measurement is deterministic.
Example 2: an equal superposition. For
both amplitudes have squared magnitude , so computational-basis measurement gives 0 and 1 with equal probability. This does not mean the qubit is a classical coin flip. The relative phase of the two amplitudes can affect future operations, as Chapter 2 will show.
Example 3: a complex amplitude. For
normalization holds because . The computational-basis probabilities are and . The factor has magnitude one, so it does not change . It is still part of the state and may influence later interference.
Common misconceptions
Check your understanding
Check your understanding
Summary
References and further study
- Michael A. Nielsen and Isaac L. Chuang, Quantum Computation and Quantum Information.
- John Preskill, Lecture Notes for Physics 229: Quantum Information and Computation.
- IBM Quantum Learning, “Quantum information”.
- IBM Quantum Learning, “Limitations on quantum information”.
Chapter exercises
Practice the ideas from this chapter with short interactive exercises.
Classical bit versus qubit
Distinguish classical bits from qubit state vectors.
A needle that will not settle
Your brass compass has only two marks: 0 and 1. On a classical instrument, the needle would already point to one mark before anyone reads it. This needle spins between them without settling.
The guide stops you from guessing a hidden value. "The compass does not know and forget," she says. "It reads a state vector — not a classical bit with a secret answer."
Classical bit versus qubit state
A classical bit is modeled as having value 0 or 1. If we are unsure which, we assign classical probabilities — that is ignorance about a definite value.
A pure qubit state is a normalized vector in a two-dimensional complex space. We write basis vectors as and :
The coefficients are probability amplitudes, not probabilities themselves. Measurement in the computational basis returns one classical outcome with probabilities and .
Valid basis-state notation
These are standard ways to name computational-basis states:
A valid pure state uses complex amplitudes that satisfy normalization. Writing without the factor is not normalized and therefore not a valid physical state as written.
Amplitude and normalization
Shape probability amplitudes and satisfy normalization.
Raw metal, unfinished states
The forge glows with half-formed vectors. Unnormalized combinations spark and sputter — the guide explains that only normalized states can be prepared as physical qubit states.
"Temper the amplitudes," she says, "until the total probability over a complete basis is exactly one."
Amplitudes and normalization
For , the Born rule gives computational-basis probabilities:
Normalization requires:
On the Bloch sphere, tilting away from increases . For example, when , we have — a state leaning toward but still retaining amplitude on .
Amplitude versus probability
Students often confuse amplitudes with probabilities. An amplitude can be complex; its squared magnitude is a probability. Two states can share the same and in one basis yet differ in relative phase — a distinction this forge ignores, but the forest ahead will not.
The forge accepts your work
When , the forge stamps the vector as normalized. You have prepared a legitimate single-qubit state ready for measurement statistics — not a classical 25% guess about a hidden bit.
Computational-basis measurement
Apply the Born rule in the computational basis.
Statistics from the tower
From the measurement tower you watch repeated Z-basis (computational-basis) trials. Each flash is one outcome: 0 or 1. Over many independent preparations, frequencies settle toward the Born-rule predictions.
The guide asks you to predict the split for the normalized state you forged — the one with .
Born rule and Bloch-sphere angles
For , computational-basis measurement gives:
On the Bloch sphere with polar angle measured from :
When , normalization forces . That corresponds to because .
Probability between 0 and 1.
Theory meets frequency
The tower's histogram approaches your prediction. Short runs fluctuate — ten trials might show two or four zeros — but the Born rule describes the limit of many independent preparations, not every finite sequence exactly.
Independent trials
Each dot of light in the tower is a fresh preparation followed by one measurement. The 25/75 split is a statement about the ensemble, not a guarantee for every block of four trials.
Chapter 1 review
Combine basis states, normalization, and Born-rule reasoning.
The guardian blocks the path
A stone guardian bars the exit from the Qubit Frontier. "Show me you understand the single-qubit model," it rumbles, "without the shortcuts that confuse beginners."
Two trials await — basis reasoning and Born-rule calculation.
Chapter 1 synthesis
Before you leave this region, confirm these pillars:
- State vector: with .
- Measurement: One classical outcome per trial in the chosen basis.
- Born rule: , for computational-basis measurement.
The path opens
The guardian steps aside. "You treat the basis as a coordinate system, not a hiding place. The superposition forest lies ahead — remember that amplitudes can coexist coherently there."
Chapter completion
Exercises completed: 0/4
Next: Chapter 2Take chapter assessment