Jonathon Riddell

Things I think should be simpler and have a lower barrier to entry:

- scientific computing
- high performance computing
- domain specific methods and solutions in numerical computing & modelling
- quantum computing
- expressing ideas in code while taking advantage of any of the above
#quantum

YouTube video by Jonathon Riddell Scientists shouldn't need to be software developers.

I haven't been posting YouTube videos for a while. And there is a good reason for this. I got frustrated enough doing scientific / high performance computing day to day for quantum many body research, I decided to do something about it:

youtu.be/kn4CgpDj_Gk

#quantum #science

#quantum #AI

YouTube video by Jonathon Riddell AI slop in science is on the rise

Nothing like a good rant after a referee report

youtu.be/yTDqVgaEN0U

@dulwichquantum.bsky.social

My recent preprint: arxiv.org/abs/2503.05698

#quantum

Ouch!

"These findings substantially shift the quantum advantage frontier and underscore that classical variational techniques, which are not fundamentally constrained by entanglement growth, remain competitive at larger system sizes than previously anticipated."

If you want to learn more I will be at APS March meeting talking about this work!

#quantum #physics #quantumcomputing

@bbrunetto.bsky.social

This behavior also appears to be stable: shifting the model away from the DU point, we still observe faster state design preparation, but the story is more complicated than being characterized only by entangling power.

The rate of approaching Haar statistics is governed by the entangling power of the static 2-local gates. Even modest entangling power is enough to be faster than circuits made up of 2-local Haar random gates.

We do this with two strategies: random driving only on the boundary, or random driving each qubit for each layer of the curcuit. Remarkably, at the dual unitary point this prepares state designs significantly faster than circuits built entirely from random unitaries.

In the past, studies have focused on the case where circuits are made up entirely of local random unitaries. Instead we approach the problem with fixed two-local gates, and restrict ourselves to inserting driving with one qubit random gates.

Quantum State Designs from Minimally Random Quantum Circuits Random many-body states are both a useful tool to model certain physical systems and an important asset for quantum computation. Realising them, however, generally requires an exponential (in system s...

New preprint!

Here we demonstrate an optimal strategy to prepare approximate Haar random statistics with a quantum circuit.

arxiv.org/abs/2503.05698

YouTube video by Genesis of Tomorrow Statistical Mechanics, Quantum Dynamics, Entropy, Path of Science, More | Dr. Jonathon Riddell |Ep30

#quantum #physics #science

I've always been passionate about this, and I recently had the opportunity to do another podcast: youtu.be/xtnFRWCvo9E?...

YouTube video by Genesis of Tomorrow Statistical Mechanics, Quantum Dynamics, Entropy, Path of Science, More | Dr. Jonathon Riddell |Ep30

Scientific communication is a key task for scientists. It can come in all shapes and sizes. From attending undergraduate recruitment events, to writing clear and concise research articles and of course engaging with a wider audience. This is an ongoing task that should be prioritized.

AND of course signatures of more generic dynamics than traditional integrable models. The answer is yes! But with lots of open questions to push this truly to a spatially extended locally interacting Hamiltonian. #quantum #physics

With dual unitary models, and random circuit models showing us that it is possible to write down minimal models for quantum chaos and generic dynamics we asked the question: is it possible to construct a model for continuous (energy preserving) dynamics, which has analytically tractable properties?

Energy dynamics in a class of local random matrix Hamiltonians Random matrix theory yields valuable insights into the universal features of quantum many-body chaotic systems. Although all-to-all interactions are traditionally studied, many interesting dynamical q...

New preprint: arxiv.org/abs/2502.05045!

🚀 Exciting insights from @unibirmingham! Quantum research is pushing boundaries and proving to be classically hard. Dive into the latest advancements and challenges in the field. #QuantumComputing #Research #Innovation @jonathon-riddell.bsky.social blog.bham.ac.uk/bear/2025/02... ^AKG

What color is a qubit? #quantum #physics

The best indicator of how close we are to quantum utility is that researchers who should be first or second wave adopters of the technology typically can't tell you what they'd do with it. #quantum

Agreed I feel like we are saying the same thing. I'm advocating / wishing more scientists would pick up c/c++.

Agreed! The problem is numpy and other libraries fairly often don't fit the workload you want or need for a given problem.

I agree python is a lovely front end when the tool you need exists.

Of course this is more nuanced than "python slow, c++ fast". In a lot of cases folks are building complex solutions in python with tools that aren't designed for their workload or problem, this is the edge case I care about. If a compiled library in python meets what you need, I'm all for it!

Am I wrong in thinking if c/c++ or other compiled languages just had good build and dependency tools, more people would adopt them in science as their default tool? Or is this wishful thinking? I like python a lot. I wouldn’t put python on the compute cluster I have access to.
#quantum #physics

Oo I'm tempted! How do you get involved?