Hilbert Space
The mathematical space where quantum states live: a complete complex vector space with an inner product.
A Hilbert space is the mathematical arena for quantum mechanics. Every quantum state is a vector in a Hilbert space, and quantum operations are linear transformations on this space.
The Basics
For quantum computing purposes, think of a Hilbert space as:
- A complex vector space (vectors have complex number components)
- Equipped with an inner product
- Complete (no “holes” or missing points)
Dimension
The dimension of the Hilbert space determines how many basis states exist:
| System | Dimension | Basis States |
|---|---|---|
| 1 qubit | 2 | |
| 2 qubits | 4 | |
| n qubits | All -bit strings | |
| Harmonic oscillator |
The exponential growth () is both the power and the challenge of quantum computing.
Key Properties
Inner Product
For any two states and :
Properties:
- (and equals zero only if )
- (conjugate symmetry)
Orthonormality
Basis states are orthonormal:
Normalization
Physical quantum states have unit norm:
Tensor Products
When combining quantum systems, Hilbert spaces combine via tensor products:
Dimension multiplies: if has dimension and has dimension , then has dimension .
For Working Quantum Scientists
In practice, you usually don’t need to think deeply about Hilbert space theory. Just know:
- States are vectors:
- Operators are matrices:
- Inner products give probabilities:
- Dimension grows exponentially with qubit count
Infinite-Dimensional Hilbert Spaces
Continuous-variable quantum computing and quantum field theory use infinite-dimensional Hilbert spaces. These require more mathematical care but the basic ideas remain similar.
See also: Quantum State, Bra-Ket Notation, Qubit