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Quantum Fighter

Javier Mancilla

"Quantum Fighter" is your insightful guide into the world of quantum machine learning. It's not just about the latest news; here, you'll find book reviews, practical guides for aspiring quantum data scientists, and code, among other contents.

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Substack
PricingOnly free issuesPublishesTwice weekly
Issues24Founded3 years agoLast Issue18 days ago
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Latest Issues

Four datasets built so a quantum model can demonstrate a potential win

There is a pattern in quantum machine learning that everyone in the field has run into and almost nobody says out loud in these terms.

You take a public tabular dataset. You build a variational quantum model. You tune it, you try three enc...

18 days ago
5

The Fourier Wall is now on arXiv. Here is what it means for you

Today our paper went live on arXiv: “The Fourier Wall: Why Public Tabular Datasets Refuse Quantum Advantage and a Certified Recipe for Where It Lives” (arXiv:2607.15815), co-authored with Tomás Tagliani at Falcondale. This is the long versi...

23 days ago
5

The Fourier Wall: why a decade of quantum ML benchmarks was unwinnable by construction

Every few months another benchmark study lands with the same conclusion: on public tabular datasets, quantum machine learning models lose to a well-tuned gradient-boosted tree. The field’s usual response has been more datasets, more encodin...

a month ago
2

A Glimpse into “QML Unlocked”

Available in the whole Amazon network here.

If you already have a grasp of Quantum Machine Learning (QML) and you’re looking to broaden your practical skill set—or simply want fresh insights into cutting-edge, code-based approaches—then QM...

a year ago
11

Accelerating Quantum Kernel Computation with Joblib

One of the areas where quantum computers could offer an advantage in the future is in computing specialized kernel functions that underlie Support Vector Machines (SVMs). However, simulating these quantum kernels on classical hardware can b...

2 years ago
8

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  • Javier Mancilla

    Quantum Computing and Machine Learning specialist with over 15+ years of experience. Ph.D. in Quantum Computing and Master in Data Management. Certified in quantum technologies by BIMTECH, MIT xPro, KAIST, IBM, and Saint Petersburg University.

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