QXL’s decode leve ages CUDA-Q QEC to ma age to cutt logical e o s by 12–13% o Google Qua tum Ha dwa e Data, i both sta da d a d eal-time st eami g tests
TEL AVIV, Is ael, Oct. 21, 2026 (GLOBE NEWSWIRE) — Qua tum X Labs I c. (NASDAQ: QXL) (“Qua tum X Labs”, “QXL” o the “Compa y”), a qua tum tech ology compa y developi g adva ced solutio s ac oss qua tum computi g, qua tum e o co ectio , qua tum softwa e, cybe secu ity a d qua tum se si g, today a ou ced a key milesto e: its qua tum e o -co ectio (QEC) decode is ow deployed a d u i g o NVIDIA CUDA-Q, the ope platfo m fo hyb id qua tum-classical supe computi g. Leve agi g the CUDA-Q QEC lib a y, the decode made 12–13% fewe logical e o s tha the platfo m’s sta da d matchi g decode (PyMatchi g) o Google’s publicly eleased qua tum ha dwa e data.
Qua tum compute s a e i he e tly p o e to e o s, a d a decode is the classical softwa e that i te p ets e o -co ectio measu eme ts a d dete mi es how those e o s should be co ected as the machi e ope ates. Imp oved decodi g may e able mo e eliable, logical ope atio f om the same physical ha dwa e.
Because the QXL decode i teg ates with CUDA-Q QEC, QXL expects that qua tum ha dwa e teams buildi g o the NVIDIA qua tum platfo m will be able to select it alo gside existi g CUDA-Q decode s without equi i g a sepa ate wo kflow. QXL believe the i teg atio ep ese ts a impo ta t step i its t a sitio f om decode esea ch a d offli e be chma ki g towa d accele ated a d eal time qua tum e o co ectio .
QXL tested the decode o Google’s public su face-code dataset, eco ded o Google’s supe co ducti g qua tum p ocesso . The test used 10,000 held-out u s of five e o -co ectio ou ds at two code sizes (dista ce 3 a d dista ce 5). Eve y decode was u th ough the same CUDA-Q QEC i te face o the same data, so the compa iso is like-fo -like.
The QXL decode made 12.7% fewe logical e o s tha PyMatchi g at dista ce 3 a d 12.1% fewe at dista ce 5. It was o pa with BP+OSD, with about 2% fewe e o s at dista ce 3 a d 1.5% fewe at dista ce 5. I simulatio , the decode beat sta da d matchi g i all 108 code-size a d oise-level setti gs tested.
“This milesto e demo st ates that QXL’s decode tech ology ca ope ate withi a leadi g qua tum computi g softwa e e vi o me t a d delive e cou agi g esults o eal expe ime tal data,” said P of. Ni Sha o , Chief Scie tist of Qua tum X Labs. “It is a impo ta t step towa d accele ated a d adaptable decodi g that ca ultimately ope ate alo gside qua tum co t ol systems.”
QXL has also tu ed the decode i to a st eami g ve sio that follows the eal-time decodi g i te face i CUDA-Q QEC: it eceives e o data ou d by ou d as the qua tum compute u s a d etu s co ectio s co ti uously.
I a sepa ate 25- ou d st eami g evaluatio o held-out shots f om the same Google public ha dwa e dataset, the QXL st eami g decode achieved lowe obse ved logical e o ates tha the CUDA-Q QEC slidi g-wi dow baseli e a d full-expe ime t PyMatchi g a d pe fo med compa ably to BP+OSD. Compa ed with PyMatchi g, its obse ved logical e o ate was app oximately 6% lowe at dista ce 3 a d 9% lowe at dista ce 5.
QXL pla s, as a ext step, to u the decode i a eal-time QEC pipeli e o a system utilizi g a NVIDIA NVQLi k co ectio , with the goal of movi g it close to live ope atio alo gside qua tum ha dwa e. QXL is also wo ki g with qua tum co t ol-system p ovide s ega di g pote tial i teg atio of the decode di ectly i to thei platfo ms.
The decode tested with CUDA-Q QEC is o e impleme tatio withi QXL’s b oade adaptive qua tum e o co ectio platfo m. The Compa y’s oadmap is desig ed to suppo t multiple decode a chitectu es, e o co ecti g codes a d qua tum ha dwa e tech ologies, allowi g decodi g solutio s to be adapted to the equi eme ts of diffe e t qua tum systems.
About Qua tum X Labs I c.
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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I vesto Relatio s Co tacts:
Michal Ef atyI vesto Relatio smichal@ef aty.com




 