Concept record · edition 0.1.0

Bond dimension (D)

The rank retained on each virtual index of a tensor network, bounding the entanglement the state can carry across a cut at log(D).

Why it matters

It is the single parameter trading accuracy against cost, and the number that must accompany any tensor-network result for it to be interpretable.

What this does not establish

A larger D is not a general fix. The D required to hold a fixed accuracy can grow exponentially with the entanglement of the target state.

Claims using this concept

Sources

review article · identifier verified

The density-matrix renormalization group in the age of matrix product states

Ulrich Schollwöck · 2010

arXiv:1008.3477

Standard reference for MPS canonical forms, SVD truncation, and the reformulation of DMRG in tensor-network language.

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primary paper · identifier verified

Efficient classical simulation of slightly entangled quantum computations

Guifré Vidal · 2003

arXiv:quant-ph/0301063

Ties classical simulation cost to the entanglement carried across a cut, which is the quantity a bond dimension budgets.

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review article · identifier verified

A Practical Introduction to Tensor Networks: Matrix Product States and Projected Entangled Pair States

Román Orús · 2013

arXiv:1306.2164

Review covering tensor-network structure, entanglement scaling, and contraction strategy; the general reference for this atlas.

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