The wo k is focused o eviewi g QXL’s milesto e esults a d d aws o NVIDIA accele ated computi g, the NVIDIA CUDA-Q QEC softwa e lib a ies a d, as QXL p og esses f om simulatio -based validatio towa d ha dwa e-de ived sy d ome data a d futu e eal-time decodi g.
QXL has completed two mea i gful developme t steps. Fi st, the Compa y executed its Deep Qua tum E o Co ectio (DQEC) wo kflow o a NVIDIA GPU i a AWS e vi o me t a d be chma ked its t a sfo me -based QECCT decode agai st the classical Mi imum-Weight Pe fect Matchi g (MWPM) decode ac oss co t olled to ic-code oise co figu atio s. QECCT outpe fo med MWPM i selected simulated egimes.
QXL also tested sy thetic su face-code co figu atio s modeled o Google’s public su face-code geomet y a d expe ime t st uctu e, spa i g multiple code dista ces. Ac oss these sce a ios, the QECCT decode showed stable logical a d bit e o ates u de va yi g physical e o co ditio s.
These esults a e i te ded as a i itial step i validati g the app oach withi co t olled simulatio e vi o me ts. Futu e wo k is expected to focus o exte di g these evaluatio s to publicly available expe ime tal datasets a d co ti ui g to efi e data pipeli es a d decode wo kflows compatible with CUDA-Q QEC f amewo ks.
The b oade oadmap also i cludes QXL’s pla ed wo k with IQCC, a Qua tum Machi es compa y, to ge e ate ha dwa e-de ived sy d ome data o supe co ducti g qua tum p ocessi g ha dwa e. QXL is also eviewi g whe e AI-based p e-decode wo kflows usi g NVIDIA Isi g, a d low-late cy optimizatio ca add the g eatest value ac oss these stages of QXL’s oadmap.
“These esults a e mea i gful because they move ou p og am f om cloud deployme t i to measu ed decode pe fo ma ce a d a su face-code data pipeli e,” said P of. Ni Sha o , Chief Qua tum Tech ology Scie tist at Qua tum X Labs. “We a e accele ati g QXL’s oadmap with NVIDIA accele ated computi g, CUDA-Q QEC a d low-late cy QEC expe tise, while IQCC p ovides the path to ha dwa e-de ived sy d ome data. This staged app oach is desig ed to move us f om offli e be chma ki g towa d p actical eal-time QEC.”
QXL’s DQEC tech ology is based o a p op ieta y t a sfo me a chitectu e that uses QEC code st uctu e a d sy d ome i fo matio to p edict logical co ectio s. The p og am is i te ded to suppo t multiple stabilize -code wo kflows a d to evaluate the decode as a full decode , p e-decode o hyb id compo e t withi accele ated QEC systems.
Qua tum X Labs I c. a d its subsidia ies a e focused o qua tum tech ology, digital adve tisi g a d computi g a d e te p ise a tificial i tellige ce (AI) solutio s. Qua tum X Labs Ltd. is focused o developi g a d p omoti g qua tum algo ithms fo the t a spo tatio , d ug discove y a d secu ity segme ts as well as developi g qua tum- based GPS eplaceme t a d qua tum atom accu acy solutio s. Gix Media develops a va iety of tech ological softwa e solutio s, which pe fo m automatio , optimizatio a d mo etizatio of i te et campaig s, fo the pu poses of acqui i g a d outi g i te et use t affic to its custome s. Metag amm is a develope of g ammatical e o co ectio softwa e a d offe s tools fo w iti g a d eviewi g, g amma , spelli g, pu ctuatio a d style featu es, as well as t a slatio a d multili gual dictio a ies, usi g a tificial i tellige ce a d machi e lea i g tech ology.
Fo mo e i fo matio about Qua tum X Labs, visit https://qua tumxlabs.xyz/
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Michal Ef atyI vesto Relatio smichal@ef aty.com
