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:

SystemDimensionBasis States
1 qubit2
2 qubits4
n qubitsAll -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:

  1. States are vectors:
  2. Operators are matrices:
  3. Inner products give probabilities:
  4. 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