Articles on Quantum Computing

AI-based tools developed to allow Quantum Computers to ‘self-tune’

February 26, 2021

At Q-CTRL, scientists were able to develop a new toolset based on AI. This toolset allows quantum computers to optimise their own performance without the help of humans. With the help of this toolset, error-free quantum computing might be closer than we think.

Unfortunately, quantum algorithms today are prone to errors, and these errors hold back progress in quantum computing. Q-CTRL decided to tackle this problem with its new toolset. The toolset can allow for fewer errors and better performance in future quantum computing and related ventures.

Q-CTRL believes that this new feature can help quantum computing advance

The toolset is available as a new feature on Q-CTRL’s BOULDER OPAL software. Its name is the Automated Closed-Loop Hardware Optimisation tool. Using AI technology, the toolset was able to achieve astounding results without users even understanding the hardware thoroughly. According to Michael J. Bierchuk, founder and CEO of Q-CTRL, this feature is a step closer to fully abstracted quantum computer hardware.

‘Just like software abstraction on conventional computers enables programmers to write algorithms without a need to understand how a transistor works, this tool makes it much easier for researchers to explore the potential of quantum computers,” Biercuk said. “We believe it will accelerate the development of quantum computer hardware and applications, pushing the industry closer toward delivering real-world business value.’

Michael J. Biercuk, founder and CEO of Q-CTRL

Previously, the Q-CTRL scientists showed how the company could create novel quantum gates for individual qubits on IBM quantum computers that perform ten times faster than standard logic gates. The new AI feature was also found to autonomously discover new multiqubit gates that are twice error-free than the original gates and without user intervention.

‘Watching a quantum computer tune itself up with this tool and deliver quantum logic with lower errors than that achieved by the best hardware development teams in the world is quite amazing.’

Michael J. Biercuk, founder and CEO of Q-CTRL

BOULDER OPAL is an advanced Python-based toolkit which is used by many quantum computing scientists. These scientists perform research in academic institutions, federal laboratories, and private companies. BOULDER OPAL can be used to provide cutting-edge quantum control into these projects and even in engineering products.

‘This new feature is both an exciting technical and strategic innovation. It’s the first step we’ve seen in the industry towards truly removing the need for expert human intervention at the hardware level. This powerful new feature validates our view that building hardware abstractions is key to the development of the quantum computing sector, as well as our belief in Q-CTRL’s continuing industry leadership in this area.’

Ben Yu, managing partner of Sierra Ventures

About Q-CTRL

Q-CTRL is a quantum control infrastructure company, providing its flagship product BOULDER OPAL to quantum computing professionals. It also provides solutions to other quantum computing teams around the world. SquarePeg Capital, Sierra Ventures, and In-Q-Tel are among many investors the company works with. The company has international headquarters in Sydney and Los Angeles.

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