BibTex format

author = {Liu, J and Li, Z and Zheng, H and Yuan, X and Sun, J},
doi = {2632-2153/aca06b},
journal = {Machine Learning: Science and Technology},
pages = {045030--045030},
title = {Towards a variational Jordan–Lee–Preskill quantum algorithm},
url = {},
volume = {3},
year = {2022}

RIS format (EndNote, RefMan)

AB - <jats:title>Abstract</jats:title> <jats:p>Rapid developments of quantum information technology show promising opportunities for simulating quantum field theory in near-term quantum devices. In this work, we formulate the theory of (time-dependent) variational quantum simulation of the <jats:inline-formula> <jats:tex-math><?CDATA $1+1$?></jats:tex-math> <mml:math xmlns:mml="" overflow="scroll"> <mml:mn>1</mml:mn> <mml:mo>+</mml:mo> <mml:mn>1</mml:mn> </mml:math> <jats:inline-graphic xmlns:xlink="" xlink:href="mlstaca06bieqn1.gif" xlink:type="simple" /> </jats:inline-formula> dimensional <jats:inline-formula> <jats:tex-math><?CDATA $\lambda \phi^4$?></jats:tex-math> <mml:math xmlns:mml="" overflow="scroll"> <mml:mi>λ</mml:mi> <mml:msup> <mml:mi></mml:mi> <mml:mn>4</mml:mn> </mml:msup> </mml:math> <jats:inline-graphic xmlns:xlink="" xlink:href="mlstaca06bieqn2.gif" xlink:type="simple" /> </jats:inline-formula> quantum field theory including encoding, state preparation, and time evolution, with several numerical simulation results. These algorithms could be understood as near-term variational quantum circuit (quantum neural network) analogs of the Jordan&nda
AU - Liu,J
AU - Li,Z
AU - Zheng,H
AU - Yuan,X
AU - Sun,J
DO - 2632-2153/aca06b
EP - 045030
PY - 2022///
SP - 045030
TI - Towards a variational Jordan–Lee–Preskill quantum algorithm
T2 - Machine Learning: Science and Technology
UR -
VL - 3
ER -