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.
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.
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.
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.
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.