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Quantum Max-Cut is NP hard to approximate

Stephen Piddock

TL;DR

The paper proves unconditional NP-hardness of approximating Quantum Max-Cut within a constant factor on unweighted graphs of bounded degree, by connecting Product-QMC to Quantum Max-Cut and embedding a classical Max-Cut instance via a two-stage reduction. It introduces a PTAS reduction framework and uses SU(2) representation theory and Lieb's inequality to relate product-state optima to full quantum optima. A rank-constrained Max-Cut construction with triangle gadgets and bipartite expanders yields APX-completeness for all constant k, including a direct hardness for Product-QMC with XY interactions. Overall, the work establishes strong hardness of approximation for a broad quantum local Hamiltonian family without relying on conjectures, and clarifies the computational landscape of quantum max-cut type problems.

Abstract

We unconditionally prove that it is NP-hard to compute a constant multiplicative approximation to the QUANTUM MAX-CUT problem on an unweighted graph of constant bounded degree. The proof works in two stages: first we demonstrate a generic reduction to computing the optimal value of a quantum problem, from the optimal value over product states. Then we prove an approximation preserving reduction from MAX-CUT to PRODUCT-QMC the product state version of QUANTUM MAX-CUT. More precisely, in the second part, we construct a PTAS reduction from MAX-CUT$_k$ (the rank-k constrained version of MAX-CUT) to MAX-CUT$_{k+1}$, where MAX-CUT and PRODUCT-QMC coincide with MAX-CUT$_1$ and MAX-CUT$_3$ respectively. We thus prove that Max-Cut$_k$ is APX-complete for all constant $k$.

Quantum Max-Cut is NP hard to approximate

TL;DR

The paper proves unconditional NP-hardness of approximating Quantum Max-Cut within a constant factor on unweighted graphs of bounded degree, by connecting Product-QMC to Quantum Max-Cut and embedding a classical Max-Cut instance via a two-stage reduction. It introduces a PTAS reduction framework and uses SU(2) representation theory and Lieb's inequality to relate product-state optima to full quantum optima. A rank-constrained Max-Cut construction with triangle gadgets and bipartite expanders yields APX-completeness for all constant k, including a direct hardness for Product-QMC with XY interactions. Overall, the work establishes strong hardness of approximation for a broad quantum local Hamiltonian family without relying on conjectures, and clarifies the computational landscape of quantum max-cut type problems.

Abstract

We unconditionally prove that it is NP-hard to compute a constant multiplicative approximation to the QUANTUM MAX-CUT problem on an unweighted graph of constant bounded degree. The proof works in two stages: first we demonstrate a generic reduction to computing the optimal value of a quantum problem, from the optimal value over product states. Then we prove an approximation preserving reduction from MAX-CUT to PRODUCT-QMC the product state version of QUANTUM MAX-CUT. More precisely, in the second part, we construct a PTAS reduction from MAX-CUT (the rank-k constrained version of MAX-CUT) to MAX-CUT, where MAX-CUT and PRODUCT-QMC coincide with MAX-CUT and MAX-CUT respectively. We thus prove that Max-Cut is APX-complete for all constant .

Paper Structure

This paper contains 11 sections, 7 theorems, 68 equations, 2 figures.

Key Result

Theorem 1

There is a constant $\alpha<1$ such that it is NP-hard to compute a value that approximates the optimal Quantum Max-Cut value within approximation ratio $\alpha$. This holds even when the graph $G$ is unweighted ($w_{ij}=1$ for all $ij\in E$) and each vertex has bounded (constant) degree.

Figures (2)

  • Figure 1: Example interaction graph of $H'$. At the top of the figure is a simple interaction graph of a 2-local Hamiltonian $H$ on $n=3$ qubits labelled $1,2,3$. Beneath is the interaction graph of the new Hamiltonian $H'$. Each qubit of $H$ has been replaced by a collection of $T=3$ qubits in $H'$.
  • Figure 2: Example of the construction of $G'$ described in Section \ref{['sec:construction']}. Here, the original graph $G$ is a path graph on three vertices $\{1,2,3\}$ and the parameter $\eta=2$. The original edges and vertices of $G$ are coloured black; the edges in the triangle gadgets are colooured blue, and the edges in the $d$-regular bipartite graph are coloured red.

Theorems & Definitions (12)

  • Theorem 1
  • Theorem 2
  • Corollary 1
  • Theorem 3
  • proof
  • Lemma 1
  • proof
  • Lemma 2
  • proof
  • Lemma 3
  • ...and 2 more