Table of Contents
Fetching ...

Complexity Bounds for Hamiltonian Simulation in Unitary Representations

Naihuan Jing, Molena Nguyen

Abstract

For any unitary representation $ρ$ on a finite-dimensional Hilbert space \(V\) with differential \(dρ: \mathfrak{g} \to \mathfrak{u}(V)\) for the Lie algebra $\mathfrak g$, we consider the Hamiltonian evolution \[ U_X(t) \coloneqq ρ(\exp(tX)) = e^{t\,dρ(X)}, \qquad t\in\mathbb{R}. \] For any complexification $ X_\mathbb{C} = X_0 + \sum\limits_{α\inΔ} x_αE_α$ associated with the root system $Δ$, we introduce the numerical invariants %\emph{root activity} and \emph{root curvature} functionals \begin{align*} \mathcal{A}_p(X) &\coloneqq \Bigl(\sum_{α\inΔ} |x_α|^p \,\|dρ(E_α)\|_{\mathrm{op}}^p\Bigr)^{1/p}, \quad 1\le p<\infty\\ \mathcal{C}(X) &\coloneqq \Bigl(\sum_{α\inΔ} |α(X_0)|^2\,|x_α|^2 \,\|dρ(E_α)\|_{\mathrm{op}}^2\Bigr)^{1/2}, \end{align*} where \(\|\cdot\|_{\mathrm{op}}\) is the operator norm on \(\mathrm{End}(V)\). We first describe how the Hamiltonian \(dρ(X)\) is distributed along the directions of root spaces $\mathfrak{g}_α$. Our main result shows that for each fixed \(X\in\mathfrak{g}\) there exists a constant \(C_X>0\) such that \[ \bigl\| e^{t(dρ(X_0)+dρ(X_{\mathrm{root}}))} - e^{\frac{t}{2}dρ(X_0)} e^{t dρ(X_{\mathrm{root}})} e^{\frac{t}{2}dρ(X_0)} \bigr\|_{\mathrm{op}} \le C_X\,t^{3}\,\bigl(\mathcal{C}(X)+\mathcal{A}_1(X_{\mathrm{root}})\bigr) \] for all sufficiently small \(|t|\). We also introduce a root-gate circuit model and test this on spin$-$chain Hamiltonians on \((\mathbb{C}^2)^{\otimes n}\subset\mathfrak{su}(2^n)\), where root spaces are spanned by matrix units, \(\mathcal{A}_p\), and \(\mathcal{C}\), which gives sharper complexity bounds and dimension$-$free representation$-$theoretic invariants.

Complexity Bounds for Hamiltonian Simulation in Unitary Representations

Abstract

For any unitary representation on a finite-dimensional Hilbert space with differential \(dρ: \mathfrak{g} \to \mathfrak{u}(V)\) for the Lie algebra , we consider the Hamiltonian evolution For any complexification associated with the root system , we introduce the numerical invariants %\emph{root activity} and \emph{root curvature} functionals \begin{align*} \mathcal{A}_p(X) &\coloneqq \Bigl(\sum_{α\inΔ} |x_α|^p \,\|dρ(E_α)\|_{\mathrm{op}}^p\Bigr)^{1/p}, \quad 1\le p<\infty\\ \mathcal{C}(X) &\coloneqq \Bigl(\sum_{α\inΔ} |α(X_0)|^2\,|x_α|^2 \,\|dρ(E_α)\|_{\mathrm{op}}^2\Bigr)^{1/2}, \end{align*} where is the operator norm on \(\mathrm{End}(V)\). We first describe how the Hamiltonian \(dρ(X)\) is distributed along the directions of root spaces . Our main result shows that for each fixed there exists a constant such that for all sufficiently small . We also introduce a root-gate circuit model and test this on spinchain Hamiltonians on \((\mathbb{C}^2)^{\otimes n}\subset\mathfrak{su}(2^n)\), where root spaces are spanned by matrix units, , and , which gives sharper complexity bounds and dimensionfree representationtheoretic invariants.
Paper Structure (36 sections, 13 theorems, 170 equations)

This paper contains 36 sections, 13 theorems, 170 equations.

Key Result

Theorem 1

Let $X \in \mathfrak{g}$ and decompose $X = X_0 + X_{\mathrm{root}}$ as above. Then there exist constants $t_0(X) > 0$ and $C(X) > 0$, depending on $\mathfrak{g}$, $\rho$, and $X$, such that for all real $t$ with $|t| \le t_0(X)$,

Theorems & Definitions (58)

  • Definition 1.1: Hamiltonian simulation problem
  • Theorem : cf. Theorem \ref{['thm:curvature-error']}
  • Example 1.2: Curvature-free toral Hamiltonians
  • Example 2.1: $\mathfrak{su}(n)$ as a compact semisimple algebra
  • Definition 2.2: Roots
  • Example 2.3: Roots of $\mathfrak{su}(3)$
  • Definition 2.4: Weights and weight spaces
  • Example 2.5: Weights of the standard representation of $\mathrm{SU}(3)$
  • Definition 2.6: Gate set associated with a representation
  • Example 2.7: Single-spin Hamiltonian evolution in $\mathrm{SU}(2)$
  • ...and 48 more