News and updates

The Q-CTRL office was buzzing when I sat down with some of the team to discuss the successful alpha launch of Black Opal, the company's first product.

When will quantum computers be ready for business? Will they be useful? How can we benefit from them? And how can we build a quantum economy?

Congratulations to our founder & CEO, Professor Michael J Biercuk on being announced as a Finalist in the 2019 Australian Museum Eureka Prize for ‘Promoting Understanding of Science’.

At Q-CTRL we are obviously deadly serious about our science. We want to help you extract maximum performance from your quantum hardware. But scientific excellence and technical advantage are just the beginning.

Computational innovation has moved far beyond developing the next killer app. The new frontiers of information technology are in artificial intelligence, blockchain and quantum computation.

Australia's first quantum technology start-up completes initial seed round. Three global technology funding giants have invested in Q-CTRL, Australia’s first venture-capital-backed quantum technology company, established by the University of Sydney’s Professor Michael Biercuk.

The journey to realizing functional quantum computers will be long and it's a path that Q-CTRL is committed to making as easy as possible for you.

We know that quantum bits - the heart of quantum technology - are tricky beasts. They are sensitive, easily knocked out of their quantum state due to interference from the environment. 'Noise', as this is called, is something they do not deal well with. Things get even more sensitive when we consider maintaining 'entanglement' between qubits as well.

The Black Opal suite is coming to the public soon and we wanted to share a bit of insight about the architectural approach we've taken in designing our products.

This blog has looked at some of the great technical work being done by our quantum control engineers led by Dr Michael Hush. We've seen how their team has taken experimental insights developed over the past decade and built them into powerful computational tools for the efficient characterization and suppression of noise and errors in quantum hardware.

How are we going to scale-up quantum computing so that it can do something useful? Right now this question is driving research and engineering teams across the world. Their focus is overwhelmingly on hardware: designing qubits with lower error rates.

Two-qubit gates are really the top pain point for most teams working in quantum computing. Right now they dominate error rates in quantum hardware but there has been little progress in understanding pathways to improve performance.