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Shallow quantum circuit for generating extremely low-entangled approximate state designs

Wonjun Lee, Minki Hhan, Gil Young Cho, Hyukjoon Kwon

TL;DR

A new ensemble of quantum states are discovered that serve as an $\epsilon$-approximate state $t$-design while possessing extremely low entanglement, magic, and coherence, implying that for fixed $t$ and $\epsilon, entanglement, magic, and coherence do not scale with the system size.

Abstract

Random quantum states have various applications in quantum information science. We discover a new ensemble of quantum states that serve as an $ε$-approximate state $t$-design while possessing extremely low entanglement, magic, and coherence. These resources can reach their theoretical lower bounds, $Ω(\log (t/ε))$, which are also proven in this work. This implies that for fixed $t$ and $ε$, entanglement, magic, and coherence do not scale with the system size, i.e., $O(1)$ with respect to the total number of qubits $n$. Moreover, we explicitly construct an ancilla-free shallow quantum circuit for generating such states by transforming $k$-qubit approximate state designs into $n$-qubit ones without increasing the support size. The depth of such a quantum circuit, $O(t [\log t]^3 \log n \log(1/ε))$, is the most efficient among existing algorithms without ancilla qubits. A class of quantum circuits proposed in our work offers reduced cost for classical simulation of random quantum states, leading to potential applications in quantum information processing. As a concrete example, we propose classical shadow tomography using an estimator with superpositions between only two states, from which almost all quantum states can be efficiently certified by requiring only $O(1)$ measurements and classical post-processing time.

Shallow quantum circuit for generating extremely low-entangled approximate state designs

TL;DR

A new ensemble of quantum states are discovered that serve as an -approximate state -design while possessing extremely low entanglement, magic, and coherence, implying that for fixed and $\epsilon, entanglement, magic, and coherence do not scale with the system size.

Abstract

Random quantum states have various applications in quantum information science. We discover a new ensemble of quantum states that serve as an -approximate state -design while possessing extremely low entanglement, magic, and coherence. These resources can reach their theoretical lower bounds, , which are also proven in this work. This implies that for fixed and , entanglement, magic, and coherence do not scale with the system size, i.e., with respect to the total number of qubits . Moreover, we explicitly construct an ancilla-free shallow quantum circuit for generating such states by transforming -qubit approximate state designs into -qubit ones without increasing the support size. The depth of such a quantum circuit, , is the most efficient among existing algorithms without ancilla qubits. A class of quantum circuits proposed in our work offers reduced cost for classical simulation of random quantum states, leading to potential applications in quantum information processing. As a concrete example, we propose classical shadow tomography using an estimator with superpositions between only two states, from which almost all quantum states can be efficiently certified by requiring only measurements and classical post-processing time.

Paper Structure

This paper contains 6 theorems, 8 equations, 4 figures, 1 table, 2 algorithms.

Key Result

Lemma 1

For a $k$-qubit $\epsilon$-approximate state $t$-design ${\cal E}_{\rm sub} =\{ \ket{\psi^{(k)}} \}$, the ensemble $\{ U_p \ket{\psi^{(k)}} \otimes \ket{0^{n-k}} \}_{\psi^{(k)} \sim {\cal E}_{\rm sub}, p \sim \mathcal{P}}$ with a $t$-wise independent random injective map $p \sim \mathcal{P}$ from $

Figures (4)

  • Figure 1: Overview of the generation of approximate state designs. (a) States in an ensemble $\mathcal{E}_\mathrm{sub}$ forming an approximated state $t$-design in the subspace $\mathcal{H}_\mathrm{sub}$ are mapped to states in an ensemble forming an approximate state $t$-design in the full space $\mathcal{H}$ by random injective maps $\{U_p\}$. $S_A(\ket{\phi})$ is the half-system entanglement entropy of $\ket{\phi}$. (b,c) Generating an approximate state $t$-design using (b) subsystem unitary design with random injective map, and (c) a random circuit. Generated states have (b) $O(k)$ with the subsystem size $k$ and (c) $O(d)$ entanglements with $d=\Omega(\log n)$ and the system size $n$.
  • Figure 2: Circuit for generating $O(1)$-entangled state designs. '$\otimes$' in each conditional gate represents its target bit. $U_\mathrm{sub}$ represents a circuit generating state designs in a subsystem. The circuit $U_p$ for a random injective map can be implemented by (a) a random MCX gate circuit and (b) a parallel CNOT gate circuit.
  • Figure : Shallow Depth Bits Randomizer
  • Figure : Random Multi-Control Condition (RMCC)

Theorems & Definitions (7)

  • Lemma 1: Dimension expansion of state design
  • Theorem 1
  • proof
  • Theorem 2
  • Theorem 3
  • Theorem 4
  • Theorem 5