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Status: Unchecked ×Keyword: multiqubit entanglement ×Clear all

2 claims from 1 paper

1. Computer Science › Quantum Computing Algorithms and Architecture

   Reconstructing Complex States of a 20 -Qubit Quantum Simulator

   Kurmapu, Tiunova, Tiunov et al. · PRX Quantum · 2023

   The authors reconstruct entangled states of a 20-qubit trapped-ion simulator with a variational matrix product state method, reporting better quality and faster convergence than neural-network approaches.

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   1. UncheckedA variational matrix product state method reconstructed states of a 20-qubit trapped-ion simulator, in the pure-state approximation, from just 27 measurement bases.“Using a variational version of the matrix product state ansatz, we perform the tomography (in the pure-state approximation) of quantum states produced in a 20-qubit trapped-ion Ising-type quantum simulator, using the data acquired in only 27 bases with 1000 measurements in each basis.”
   2. UncheckedA matrix-product-state method reconstructed 20-qubit states with better quality and faster convergence than two neural-network-based methods.“We observe superior state reconstruction quality and faster convergence compared to the methods based on neural network quantum state representations: restricted Boltzmann machines and feedforward neural networks with autoregressive architecture.”