Q-CTRL’s new AI toolset allows quantum computers to self-optimize

The toolset runs on Q-CTRL’s flagship BOULDER OPAL software

Quantum computer being displayed at CES 2020

Q-CTRL has announced a new AI-based toolset to facilitate the unassisted performance optimization of quantum computers.

By and large, quantum algorithms are susceptible to errors, creating a substantial barrier to progress and advancement in quantum computing. Q-CTRL’s new automated closed-loop hardware optimization tool uses custom AI agents to run quantum algorithms, resulting in fewer errors and better overall performance for end-users.

Integrated with Q-CTRL’s flagship BOULDER OPAL software for developers and R&D teams, automated closed-loop hardware optimization is also trained to obtain new experimental data/results from quantum computers while simultaneously running optimizations for algorithms. It can be used as a standalone tool or in tandem with a machine-learner online optimization package (M-LOOP) that manages quantum experiments autonomously.

Users can also use the Q-CTRL Python package to manually send batch requests to experimental apparatus for running multiple tests in quick succession.

Q-CTRL had previously demonstrated its novel quantum technology on an IBM quantum computer, resulting in quantum logic gates for individual qubits (or quantum bits) with up to 10 times better performance than standard logic gates. Q-CTRL’s custom AI agent could also detect new multi-qubit gates autonomously with up to two times lower error-rate.

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

"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. We believe it will accelerate the development of quantum computer hardware and applications, pushing the industry closer toward delivering real-world business value,” Biercuk added.

Featured Resources

Shining light on new 'cool' cloud technologies and their drawbacks

IONOS Cloud Up! Summit, Cloud Technology Session with Russell Barley

Watch now

Build mobile and web apps faster

Three proven tips to accelerate modern app development

Free download

Reduce the carbon footprint of IT operations up to 88%

A carbon reduction opportunity

Free Download

Comparing serverless and server-based technologies

Determining the total cost of ownership

Free download

Recommended

Sydney government-funded innovation hub launches quantum arm
Policy & legislation

Sydney government-funded innovation hub launches quantum arm

29 Nov 2021
Australia bets $111 million on quantum technology as part of national strategy
Policy & legislation

Australia bets $111 million on quantum technology as part of national strategy

17 Nov 2021
DDN launches AI Innovation Lab in Singapore
artificial intelligence (AI)

DDN launches AI Innovation Lab in Singapore

11 Nov 2021
IBM launches Environmental Intelligence Suite
artificial intelligence (AI)

IBM launches Environmental Intelligence Suite

13 Oct 2021

Most Popular

How to move Microsoft's Windows 11 from a hard drive to an SSD
Microsoft Windows

How to move Microsoft's Windows 11 from a hard drive to an SSD

24 Nov 2021
What should you really be asking about your remote access software?
Sponsored

What should you really be asking about your remote access software?

17 Nov 2021
Nike to take customers into the metaverse with 'NIKELAND'
virtualisation

Nike to take customers into the metaverse with 'NIKELAND'

19 Nov 2021