Publications
Application note: SUPERCONDUCTING QPU CHARACTERIZATION USING QUANTUM EDGE SOFTWARE
Use case: Characterization of Soprano-D QPU by QuantWare
Machine learning as an enabler of qubit scalability.
N Ares
Nature Reviews Materials (2021)
Deep reinforcement learning for efficient measurement of quantum devices.
V Nguyen, SB Orbell, DT Lennon, H Moon, F Vigneau, LC Camenzind, …
npj Quantum Information 7, 100 (2021)
Quantum device fine-tuning using unsupervised embedding learning.
NM van Esbroeck, DT Lennon, H Moon, V Nguyen, F Vigneau, …
New Journal of Physics 22, 095003 (2020)
Machine learning enables completely automatic tuning of a quantum device faster than human experts.
H Moon, DT Lennon, J Kirkpatrick, NM van Esbroeck, LC Camenzind, …
Nature Communications 11, 4161 (2020)
Efficiently measuring a quantum device using machine learning.
DT Lennon, H Moon, LC Camenzind, L Yu, DM Zumbühl, GAD Briggs, …
npj Quantum Information 5, 79 (2019)
Cross-architecture Tuning of Silicon and SiGe-based Quantum Devices Using Machine Learning.
B Severin, DT Lennon, LC Camenzind, F Vigneau, F Fedele, D Jirovec, …
arXiv:2107.12975
Videos
VSF Long Range Colloquium: Natalia Ares (Oxford University)
Virtual Science Forum
03 From chips to qubits faster than human experts
MPI for the Science of Light
News
Press Release:
QuantrolOx Raises €12 Million Series A2 to Industrialise Quantum Hardware and Expand Globally
October 26th, 2026
Press Release:
Oxford’s QuantrolOx Delivers India’s Most Advanced Quantum Centre
October 22nd, 2026
Press Release:
QuantrolOx Opens Berkeley Office, Deepens US Presence Through Five-Year MOU with UC Berkeley
September 8th, 2026
Press Release:
QuantrolOx and QURECA Launch Quantum EDGE Academy to Help Close the Quantum’s Workforce Bottleneck
August 26th, 2026
Press Release:
UC Berkeley, on behalf of its Department of Physics and the Roger Herst Quantum Nexus, and QuantrolOx Sign Agreement to Advance the Industrialisation of Quantum Computing
July 27th, 2026
Press Release:
AQSolotl and QuantrolOx Partner to Automate Quantum Control, Targeting Scalable, Production-Ready Systems
June 24th, 2026
Press Release:
RAQS Quantum to Bring QuantrolOx’s Quantum EDGE Academy and the Automated Quantum Control Solutions to Asia Pacific
April 10th, 2026
Press Release:
QuantrolOx’s Quantum EDGE Powers the First University in Canada to Own and Operate a Vendor-Supported, Full-Stack, Open-Architecture Quantum Computer
March 31st, 2026
Press Release:
QuantrolOx powers Quantum-Hub@MAHE to Advance the Indo-European Open-Architecture Quantum Ecosystem
March 5th, 2026
Press Release:
QuantrolOx Unveils VIDYAQAR — the World’s First True Open-Architecture Quantum Platform
December 10th, 2025
Press Release:
QuantrolOx & C-DAC India Announce Partnership for The World’s First Full Stack Quantum Training Program
December 9th, 2025
Press Release:
QuantrolOx Installs Quantum EDGE at NQCC to Accelerate Quantum Research Initiatives
September 24th, 2025
Press Release:
QuantrolOx and CDAC Announce LoI to Explore Co-Development of Quantum Computing Technologies
September 3rd, 2025
Rahoituskierros 27.8.2025 – 18.9.2025
(This document is for the audience in Finland
in relation to an ongoing funding round)
August 27th, 2025
Press Release:
TreQ Unveils Compass SG25B: The Open-Architecture Quantum Innovation Station – Powered by QuantrolOx”
April 14th, 2025
Press Release:
QuantrolOx and QuantWare introduce Quantum EDGE Development Kit for Contralto – A
March 18th, 2025
Press Release:
Automated 2-qubit gate tuning in under 25 minutes with QuantrolOx and Qblox using QuantWare QPUs
January 22nd, 2025
Press Release:
QuantrolOx Announces Strategic Collaboration with Anyon Technologies
October 9th, 2024
Press Release:
QuantrolOx Joins ARCTIC Consortium
August 9th, 2024
Press Release:
QuantrolOx joins EU Pathfinder project FERROMON
July 30th, 2024
Press Release:
QuantrolOx and Zurich Instruments
team up
March 6th, 2024
Press Release:
QuantrolOx’s Quantum EDGE delivers over 100x speed
February 29th, 2024
Press Release:
QuantrolOx automates tune-ups of Quantware QPUs
August 30th, 2023
Press Release:
QuantrolOx launches automation software
August 10th, 2023
Sifted:
QuantrolOx raise €10.5m from EIC
October 14th, 2022
Press Release:
QuantrolOx partners with QuantWare
May 20th, 2022
Business Wire:
QpiAI and QuantrolOx sign a MoU
April 13th, 2022
Press Release:
QuantrolOx raise £1.4m in funding
February 24th, 2022
Blog
Adapt Quantum EDGE to your needs with our SDK
Author: Alex Lidiak, Dominic Lennon
August 2025
A Case for Open Architectures
Author: Vishal Chatrath
February 2023
Accelerating Quantum Futures
Author: Andrew Briggs
April 2022
Device Variability in Silicon
Author: Brandon Severin
March 2022
VSF Long Range Colloquium: Natalia Ares (Oxford University)
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BQIT 2020: Natalia Ares (University of Oxford) – Machine learning to characterise quantum devices
This video is hosted by YouTube, which receives data when the player loads. YouTube privacy policy.
03 From chips to qubits faster than human experts
This video is hosted by YouTube, which receives data when the player loads. YouTube privacy policy.
Machine Learning Based Control of Quantum Devices I Quantum Technology User Meeting 2022
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