Tensor Products and the Composition Postulate
A tensor product combines the state spaces of two distinguishable subsystems. It contains independent preparations and their superpositions, including entangled states. Here we introduce the notation needed for the composition postulate; tensor products of Hilbert spaces develops the full construction and its infinite-dimensional extension.
Helpful background. State vectors explains superposition; composite systems identifies the physical subsystem split.
Combining Two State Spaces
Section titled “Combining Two State Spaces”For specified subsystems and ,
A product vector is written , or simply . The operation is linear in each factor:
For finite dimensions , the joint dimension is : each basis label of can be paired with every basis label of . A qubit and a three-level system therefore have six joint basis vectors, .
Reading Product Coordinates
Section titled “Reading Product Coordinates”With two qubits ordered as ,
For example, has coordinates . Every vector in the joint space is a sum of product-basis vectors, but not every vector is one product. That distinction leads to entangled states.
Fix the factor and basis ordering before forming matrices. Reordering the factors is a coordinate identification using a swap map; physically applying a SWAP operation is a separate action on the state.
Quick Check
Section titled “Quick Check”Write in the same ordering. Is it the same state as ?
Solution
Its coordinates are . The states differ: the first has certainly in , while the second has certainly in . The tensor-factor labels specify which subsystem has which preparation.
References
Section titled “References”- M. A. Nielsen and I. L. Chuang, Quantum Computation and Quantum Information, 10th anniversary ed., Cambridge University Press, 2010, ch. 2.
- J. Watrous, The Theory of Quantum Information, Cambridge University Press, 2018, chs. 1–2. Author’s manuscript.