Quantum computing is often introduced through circuits: Hadamard gates, CNOTs, measurements, and perhaps a few algorithms.
That is useful, but it hides the structure underneath.
A quantum state is not fundamentally a bit string. It is a vector in a complex Hilbert space. A measurement is not fundamentally a readout operation. It is tied to the spectral structure of a Hermitian operator. A quantum gate is not merely a box in a circuit diagram. It is a unitary transformation preserving the geometry of the state space.
And once global phase is removed, even the space of states itself becomes geometric.
1. Quantum states live in Hilbert space
Let H be a complex Hilbert space.
A pure quantum state is represented by a normalized vector
∣ψ⟩∈H,
satisfying
⟨ψ∣ψ⟩=1.
For a single qubit,
H=C2,
with computational basis
∣0⟩=(10),∣1⟩=(01).
A general qubit is therefore
∣ψ⟩=α∣0⟩+β∣1⟩,
where
∣α∣2+∣β∣2=1.
The coefficients are amplitudes, not probabilities.
Probabilities appear only after taking absolute squares.
2. Inner products determine the geometry
The inner product between two states is written
⟨ϕ∣ψ⟩.
It determines both lengths and angles.
The norm of a vector is
∥ψ∥=⟨ψ∣ψ⟩.
Two states are orthogonal when
⟨ϕ∣ψ⟩=0.
For example,
⟨0∣1⟩=0.
The computational basis therefore consists of two orthogonal directions in C2.
More generally, if {∣i⟩} is an orthonormal basis,
i∑∣i⟩⟨i∣=I.
Hence every state may be reconstructed as
∣ψ⟩=i∑∣i⟩⟨i∣ψ⟩.
The coefficient of ∣i⟩ is simply
⟨i∣ψ⟩.
3. Linear operators act on quantum states
A linear operator
A:H→H
satisfies
A(α∣ψ⟩+β∣ϕ⟩)=αA∣ψ⟩+βA∣ϕ⟩.
The adjoint of A is denoted by
A†.
For a finite-dimensional matrix,
A†=AT.
For example,
A=(12i3)
has adjoint
A†=(1−i23).
This operation separates two important classes of quantum operators.
4. Hermitian operators describe observables
An operator is Hermitian when
A=A†.
The significance of this condition is spectral.
Suppose
A∣ψ⟩=λ∣ψ⟩.
Then
⟨ψ∣A∣ψ⟩=λ⟨ψ∣ψ⟩.
Since A is Hermitian,
⟨ψ∣A∣ψ⟩=⟨Aψ∣ψ⟩.
Using
A∣ψ⟩=λ∣ψ⟩,
taking the adjoint gives
(This is because scalars are complex conjugated when moved to the bra)
⟨Aψ∣=λ∗⟨ψ∣
we obtain
⟨Aψ∣ψ⟩=λ∗⟨ψ∣ψ⟩.
Therefore,
λ⟨ψ∣ψ⟩=λ∗⟨ψ∣ψ⟩.
Since ∣ψ⟩=0,
λ=λ∗.
Hence
λ∈R
The eigenvalues of a Hermitian operator are real.
This is precisely what we need if eigenvalues are to represent possible measurement outcomes.
5. Distinct eigenvalues produce orthogonal states
Let
A∣ψ⟩=λ∣ψ⟩
and
A∣ϕ⟩=μ∣ϕ⟩,
where
λ=μ.
Then
⟨ϕ∣A∣ψ⟩=λ⟨ϕ∣ψ⟩.
Hermiticity also gives
⟨ϕ∣A∣ψ⟩=⟨Aϕ∣ψ⟩=μ⟨ϕ∣ψ⟩.
Thus
(λ−μ)⟨ϕ∣ψ⟩=0.
Because λ=μ,
⟨ϕ∣ψ⟩=0
Eigenstates corresponding to distinct eigenvalues are orthogonal.
This is more than a convenient algebraic fact. It means that different measurement outcomes correspond to geometrically distinguishable directions in Hilbert space.
6. Measurement and the Born rule
Suppose
A∣an⟩=an∣an⟩
for an observable A.
If the system is in state ∣ψ⟩, the probability of obtaining the measurement outcome an is
P(an)=∣⟨an∣ψ⟩∣2.
For a qubit
∣ψ⟩=α∣0⟩+β∣1⟩,
measurement in the computational basis gives
P(0)=∣α∣2
and
P(1)=∣β∣2.
The condition
∣α∣2+∣β∣2=1
is therefore exactly the normalization of total probability.
7. Unitary operators preserve quantum states
A unitary operator satisfies
U†U=UU†=I.
Equivalently,
U−1=U†.
Let
∣ψ′⟩=U∣ψ⟩.
Then
⟨ψ′∣ψ′⟩=⟨ψ∣U†U∣ψ⟩.
Since
U†U=I,
we have
⟨ψ′∣ψ′⟩=⟨ψ∣ψ⟩.
Thus
∥Uψ∥=∥ψ∥.
Unitary transformations preserve the normalization of quantum states.
Geometrically, they preserve inner products, lengths, and angles.
8. Commutators and compatible structure
For two operators A and B, define the commutator
[A,B]=AB−BA.
If
[A,B]=0,
then the operators commute.
For commuting Hermitian operators, one may choose a common eigenbasis.
To see the basic idea, suppose
A∣a⟩=a∣a⟩.
Then
A(B∣a⟩)=AB∣a⟩.
If AB=BA,
A(B∣a⟩)=BA∣a⟩=aB∣a⟩.
So B∣a⟩ remains inside the eigenspace of A associated with eigenvalue a.
This is the algebraic reason simultaneous diagonalization becomes possible.
9. Composite quantum systems require tensor products
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