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QuantrolOx New Automation Software Now Integrated With Qblox Control Stack to Accelerate Quantum Tech

QBlox QuantrolOx

Insider Brief

  • QuantrolOx’s launches Quantum Edge, which automates the tuning and optimization of superconducting quantum computers.
  • Qubit control stack provider Qblox will also partner with QuantrolOx to combine the solutions for faster research.
  • QuantrolOx and Qblox products have successfully tested their products together in the Bluefors lab at QuTech, TU Delft.
  • Image: Dr Niels Bultink (CEO Qblox) and Vishal Chatrath (CEO QuantrolOx) secure the partnership.

PRESS RELEASE — QuantrolOx, a pioneer in the automation of quantum computers, is excited to announce the launch of its first product, Quantum Edge, which automates the tuning and optimization of superconducting quantum computers. 

Qblox, a leading provider of scalable and modular qubit control stacks, announces its partnership with QuantrolOx. By combining the solutions of the two companies customers will be enabled to speed up their research. 

Quantum Edge reduces the time for fundamental experiments such as resonator and qubit spectroscopy to mere seconds. Complex operations like randomized benchmarking become a breeze. 

QuantrolOx and Qblox products have been tested thoroughly and shown to work together seamlessly in the Bluefors lab at QuTech, TU Delft (the Netherlands), since 2022. This joint solution is ready to support quantum computing scientists globally, with live demonstrations at SQA (Munich, Germany) in August, and the IEEE Quantum Week (Seattle, Washington) in September, followed by other locations.

Online demos will be available on request. 

A win for the quantum industry, saving users valuable time in tuning and optimization. 

Currently, quantum scientists spend years learning how to manually tune and calibrate qubits, leaving little time to push the development of quantum technology to the next level. However, Quantum Edge provides powerful and intuitive qubit control automation that allows scientists to quickly complete tasks that currently take hours or even days. 

Qblox quantum control stack, based on the Cluster, provides the first fully-integrated control solution. Due to its modular and distributed architecture, it scales effectively with the customer’s experimental needs. 

The integration of QuantrolOx’s software package and the Qblox stack results in automated tuning of more powerful QPUs. The combined solution is a win for scientists, enabling them to spend less time tuning qubits and more time advancing quantum computing. 

QuantrolOx and Qblox share a common goal: to accelerate quantum computing and equip quantum computing scientists with state-of-the-art technology that is aligned with their needs. Laboratories and institutions can request a demo to see how QuantrolOx software integrated with Qblox control electronics can revolutionize their work.

About QuantrolOx 

QuantrolOx develops software to automate quantum computers. We envision a world where every quantum computer will be fully automated, enabling quantum scientists to spend less time tuning qubits and more time advancing quantum computing, thereby accelerating the path to practical quantum computers. 

QuantrolOx Quantum Edge integrates with major quantum hardware providers by building on open-architecture principles, allowing organizations to select the best components for their quantum systems. Find out more at www.quantrolox.com 

About Qblox 

Qblox partners with leading global academic and industrial laboratories to drive the quantum future. The Qblox product portfolio is made up of modular quantum control stack electronics that are suitable for a variety of qubit applications, and a software package. Qblox’s control stack includes proprietary protocols and distributed architecture for manipulating and measuring qubits at record speeds, accuracy, low levels of drift, and noise. 

The Qblox team is 80+ members strong and continues to innovate hardware and software that is device-agnostic and scalable to support operations on hundreds and, in the future, thousands of qubits. Find out more at www.qblox.com

The Future of Materials Discovery: Reducing R&D Costs significantly with GenMat’s AI and Machine Learning Tools

When: July 13, 2023 at 11:30am

What: GenMat Webinar

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Jake Vikoren

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Deep Prasad

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Matt Swayne

With a several-decades long background in journalism and communications, Matt Swayne has worked as a science communicator for an R1 university for more than 12 years, specializing in translating high tech and deep tech for the general audience. He has served as a writer, editor and analyst at The Quantum Insider since its inception. In addition to his service as a science communicator, Matt also develops courses to improve the media and communications skills of scientists and has taught courses. [email protected]

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The Future of Materials Discovery: Reducing R&D Costs significantly with GenMat’s AI and Machine Learning Tools

When: July 13, 2023 at 11:30am

What: GenMat Webinar

Picture of Jake Vikoren

Jake Vikoren

Company Speaker

Picture of Deep Prasad

Deep Prasad

Company Speaker

Picture of Araceli Venegas

Araceli Venegas

Company Speaker

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