RT @ryanlmann: I'm pleased our paper on a graph-theoretic framework for free-parafermion solvability has been published in RSPA. We prove t….

New paper dance with @quantumbeef_. Come and see the poster at #QIP2025 !.

RT @ryanlmann: I'm pleased that our work on the optimal scheduling of graph states via path decompositions has been published in Physical R….

RT @AipCongress: What you shouldn’t know about quantum physics Free public lecture by author of Quantum Physics for Babies, Prof @csferrie….

And in case anyone is wondering what the workflows were, who didn't want to actually open the paper, here are the "quantum benchmarking graphs" for each application to help visualize them.

Also, this paper has by far the coolest figures of any paper I've ever worked on!

Also thanks to @QuElmanS @MKieferova and everyone else in our team who contributed to this paper whose twitter handles I don't know!.

I personally believe that there is a lot of opportunity to bring down the cost of such computations through improved workflows, algorithms, and analysis. This is a great challenge problem that we hope will motivate to improvements in quantum algorithms and software!.

Not surprisingly, we find that the costs are high! We intentionally focussed on improvements to existing workflows and techniques so that we could get an understanding of the costs of heuristic methods without dependency of new breakthroughs in quantum algorithms in this space.

We look at two different types of corrosion, potential materials, and corresponding workflows and estimate the cost of using QPE as a key subroutine in these workflows using a new package - pyLIQTR and a host of other tools to set up the instances.

This has been a really fun project where we've been able to learn a lot from subject matter experts in materials design and modelling to understand how they are currently attacking this difficult, but highly valuable, problem.

In "Quantum computing for corrosion-resistant materials and anti-corrosive coatings design" we worked with our collaborators at HRL, Boeing, Wisconsin, and MIT LL to investigate how quantum computers could be used in existing workflows to discover new anti-corrosives.

It's an active day on the arXiv for the QSI team! Two papers emerging from the DARPA Quantum Benchmarking program (and and another ( by @Ithilia_V a fellow at Macquarie and long-term visitor to our Centre.

Applications close next week! Note that it's a pretty simple application. If anyone is interested and wants more information feel free to reach out and ask!.

RT @UTS_QSI: Come work with us! We are hiring a Professor/Associate Professor in theoretical quantum computing, quantum information, and/or….

He also only plugs the @QuokkaComputing once. .

However, as @csferrie is pointing out, if this is to pay off in the long term we will need a broader ecosystem with a more diverse pool of talent literate in utilising and developing quantum algorithms and software.

Nice piece by @csferrie contextualising the Australian @PsiQuantum investment. It's a huge investment in one of the most promising quantum startups with a ton of talented scientists and engineers doing amazing things.

This is a fantastic project that @ryanlmann and Gabe have been working on for the last few months. So useful!.

RT @PRX_Quantum: A general framework that uses the cluster expansion to establish efficient classical approximation algorithms for quantum….