Reading the quantum

The best-known use of AI in 2026 is in execution of well-scoped tasks in the domains of software engineering, general productivity, and mathematics.

The bull case for peer review is that, when done right, it is an extremely powerful tool for vetting and improving scientific results.

The joke is that every time that a new AI model comes out, someone throws it at the Collatz conjecture just in case.

By now, we have all seen how AI software engineers, AI chatbots, and AI copywriters change the game.

Writing this blog over the last 2.5 years has been a highly rewarding experience.

One of the main metrics used to describe a quantum computer is qubit coherence time, typically denoted as $T_2$.

When I left academia in 2021 to join Oxford Ionics, not much changed day-to-day to start with.

Late in 2024, the team at Google Quantum AI released a free online course on quantum error correction taught by Austin Fowler.

My favourite application of new technologies is when they reduce the BS and let us spend more time doing what we love.

The fundamental proposition of physics is that there are some fundamental laws from which all else can be derived.