News and updates

Head of Marketing Kelly Gurr and Head of Finance Donna Hacker bring 51 years of collective experience to quantum growth-stage company.

Initial customers include a major quantum hardware vendor, Big Four consultancies, a Fortune 500 company and international government agencies.

Building a quantum ready workforce is a critical challenge for enterprises seeking to get ahead of this rapidly emerging industry. Discover how we’re helping organizations to gain a strategic advantage with new enterprise features!

The Technology Council of Australia and AWS invited leaders from the Australian tech community to discuss our shared ambition of creating 1.2 million jobs in the technology sector by 2030.

Alex Shih brings product expertise from Slack, Airbnb, Twitter, Google and Planet Labs to quantum growth-stage company

Team to first publicly showcase capabilities at Australian Army Quantum Technology Challenge; Awarded over $60M in contracts over last 18 months.

Ushering in an era of large-scale quantum computers with quantum error correction made possible by the error suppression technologies within Fire Opal.

QURECA has teamed with Q-CTRL to set an ambitious target to build a robust talent pipeline with a targeted focus on youth education through to making every C-Suite executive quantum ready through a new collaboration.

Complete educational journey for quantum computing newcomers available as twofor one annual subscriptions from April 14-20. Black Opal Pro adds new modules and features to the basic version announced in November 2021, which already has 3,000 registered users.

Quantum technology startup joins forces with Switzerland’s largest research institute for natural and engineering sciences to advance research, secure joint funding applications

Accelerating Path to Quantum Advantage, Q-CTRL to Present Results of Benchmarking Experiments on Commercial Quantum Computers at APS March Meeting.

We will be presenting six talks at APS March Meeting 2022 across a range of topics - spanning the use of machine learning to autonomously improve quantum logic and algorithms through to accelerating vehicle routing problems on quantum computers, and more.