Interactive misconceptions · Quantum misconceptions

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.

30+
Misconceptions
3
Explanation levels
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Simulator
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A quantum computer tries all answers at once.More qubits always means better performance.Entanglement automatically gives a speedup.Quantum ML always beats classical ML.Noise only slightly affects results.A bigger circuit is always more expressive.A quantum computer tries all answers at once.More qubits always means better performance.Entanglement automatically gives a speedup.Quantum ML always beats classical ML.Noise only slightly affects results.A bigger circuit is always more expressive.

The method

Built around one idea:
collapse the wrong intuition

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01

Encounter the myth

Each case opens with a claim that feels completely true. You are supposed to believe it — at first.

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Test it yourself

An interactive demo lets you poke the idea until it breaks. The simulator is one click away.

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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

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Most interesting paper today
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★ FeaturedQuantum MLIntermediateJul 2, 2026

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.

Read paper ↗
30+
Misconceptions
3
Depth levels
1
Live simulator
Wrong intuitions

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