Your intuition
is probably wrong.
A misconceptions where you form the wrong idea first — then watch it collapse into something real. Built by a quantum lover, learning in public.
The method
Built around one idea:
collapse the wrong intuition
Encounter the myth
Each case opens with a claim that feels completely true. You are supposed to believe it — at first.
Test it yourself
An interactive demo lets you poke the idea until it breaks. The simulator is one click away.
Watch it collapse
The correction lands harder because you already believed the wrong thing. That is the whole point.
Dilution Refrigerator Architecture
QPU operating at ~15 mK · colder than outer space
Misconceptions
Featured cases
Quantum Convolutional Autoencoders for Reconstruction-Based Anomaly Detection
Slabbert, D., Petruccione et al.
arXiv
Main idea
Adapts a quantum convolutional neural network into a quantum autoencoder for reconstruction-based anomaly detection, trained semi-supervised on normal samples with reconstruction error as the anomaly score. It compares two designs — a hierarchical architecture that keeps information distributed across the circuit, and a bottleneck architecture that explicitly compresses information into a smaller latent space — benchmarked against a variational quantum circuit and a classical baseline on real exoplanet data.
★ A quantum convolutional autoencoder for anomaly detection, tested on real exoplanet data. The finding is architectural — an explicit quantum bottleneck compresses the latent space and improves detection over spreading information across the circuit, by learning more generalisable features.
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