We have a number of algorithms researcher positions open at Xanadu xanadu.applytojob.com/apply/DOsqHo... This includes the QML team, so please apply if you are interested! (remote work is a possibility in exceptional circumstances)
QTML talk on scalable generative QML is finally available! youtu.be/P4SCA_oS4og?...
QTML 2025: Scalable quantum machine learning models in Fourier space
YouTube video by Centre for Quantum Technologies
youtu.be
5️⃣/🔟 In Scientific Reports, 5 of the top 10 most cited articles have an article number of 1. 5️⃣/🔟 In Nature Communications the same: 5 of the top 10 are article 1s. Coincidence? 👇 scirate.com/arxiv/2511.0... I think not.
Very excited to release our latest paper on generative QML. Much to our own surprise, we show that it is feasible to train quantum models with up to a thousand qubits and hundreds of thousands of parameters, all on classical hardware. scirate.com/arxiv/2503.0...
Train on classical, deploy on quantum: scaling generative quantum machine learning to a thousand qubits
We propose an approach to generative quantum machine learning that overcomes the fundamental scaling issues of variational quantum circuits. The core idea is to use a class of generative models based ...
scirate.com
We recently released a software package to optimize IQP circuits that scales to millions of qubits and gates. Our main motivation was quantum machine learning (paper on the way!), but we believe there could be many other applications. arxiv.org/abs/2501.04776 github.com/XanaduAI/iqp...
IQPopt: Fast optimization of instantaneous quantum polynomial circuits in JAX
IQPopt is a software package designed to optimize large-scale instantaneous quantum polynomial circuits on classical hardware. By exploiting an efficient classical simulation algorithm for expectation...
arxiv.org