Q-CTRL achieves a 9000x improvement with advanced error correction techniques

Share this on social media:

Credit: Bartlomiej K Wroblewski/Shutterstock

Q-CTRL has announced the results of hardware benchmarking experiments demonstrating its autonomous error-correction techniques increased the likelihood of quantum computing algorithm success over 1000x on real hardware, surpassing a 25x improvement reported last November.

Q-CTRL measured how its software tools could improve important industry metrics when executed on real hardware, including algorithmic benchmarks as pursued by the US Quantum Economic Development Consortium (QED-C). 

The team showed that they could achieve up to 9000x improvements in the success of these benchmarks and deliver real utility gains in customer algorithms, such as those from the researchers at European quantum startup BEIT who were early users of Q-CTRL’s technology.

‘BEIT has been pushing the limits on quantum algorithms but has faced the same barriers as everyone else in hardware performance,’ said Paulina Mazurek, CEO of BEIT. ‘We were impressed by how Q-CTRL has opened totally new frontiers in our research and is bringing quantum advantage closer, enabling results better than classically possible for one of the cornerstone quantum algorithms. In some cases, this software fundamentally transformed hardware, allowing results deemed impossible by previous benchmarks.’

Q-CTRL will unveil the technology behind these demonstrations at this year’s APS March Meeting, the world’s largest physics conference, in Chicago, March 14-18. The underlying software tools for hardware stabilisation, error reduction, and automation are available to quantum computing researchers and developers through Q-CTRL’s technology including its flagship product, Boulder Opal.

Currently, most quantum computers are so error-prone that only the shortest and simplest algorithms can be run; this challenge has inhibited the delivery of useful quantum computations to end-users.

Through its research activities, Q-CTRL identified pathways to use AI and automation to dramatically improve not only the errors plaguing isolated quantum logic elements (the building blocks of quantum application), but also those appearing only in the execution of complete algorithms.

Q-CTRL’s results were achieved entirely through conventional cloud access to commercial quantum computers, with no special access to hardware required. This proves these capabilities can be delivered to any user with an internet connection and a desire to achieve more from today’s quantum computers.

‘Our benchmarking experiments demonstrate that there’s hidden performance inside today’s quantum computers that can become available with the right error-correcting software tools - no changes to hardware are needed,’ said Q-CTRL founder and CEO Professor Michael Biercuk. ‘We’re excited to offer this technology to researchers, end users, and manufacturers worldwide to accelerate the path to quantum advantage and bring real-world applications closer to fruition.’

Q-CTRL will host a workshop at APS, which will teach attendees how to use its software tools, including Boulder Opal, to improve and automate their own quantum hardware, save time, and increase their research outcomes.

Attendees interested in learning more about how they can get access to the automated software behind these algorithmic benchmarking results on cloud quantum computers can find the team at Booth 404 of the exhibition.

In addition, the company will be presenting six technical talks at the conference across a range of topics - from the use of machine learning to autonomously improve quantum logic and algorithms to accelerating vehicle routing problems on quantum computers, and more.

The computational power of quantum computing is expected to deliver transformational capabilities in applications ranging from drug discovery and enterprise logistics to finance. However, the underlying hardware is extremely unstable and fragile, hampering these machines from reaching their full potential. Q-CTRL is uniquely focused on delivering hardware-agnostic, error-correcting enterprise software that will enable useful quantum computing for organisations around the world.

An ion trap device
Credit: Samuel Hile from the University of Sussex

02 September 2021

Credit: Bartlomiej_K_ Wroblewski/Shutterstock

12 May 2022

Credit: Bartlomiej K Wroblewski/Shutterstock

18 November 2021