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The Quantum Compressor: A New Way to Find Brain Tumors ⚡ экспресс

Original: "Compression-Driven Anomaly Detection in Brain MRI Using an Interpretable Quantum Autoencoder"
The Quantum Compressor learns to compress MRI scans and spots anomalies where compression fails.
Abstract

A quantum autoencoder (QAE) for anomaly detection in brain MRI based on compression is investigated. Image patches are converted into quantum states via angle encoding, after which a variational encoder-decoder architecture learns to discard information using auxiliary trash qubits. The degree of compression resistance serves as an anomaly score: the worse the compression, the higher the pathology probability. On publicly available data, the method achieved an AUC ROC of approximately 0.95 at the slice level and around 0.813 at the patch level, surpassing classical autoencoders and PCA. Parameter analysis revealed an asymmetry between encoder and decoder: effective detection stems from structured compression in the encoder, not from decoder complexity. This provides a controlled trade-off between compression and reconstruction with a clear operational regime, simplifying threshold selection. Qualitatively, anomaly heatmaps localize tumor regions. The results show that this approach offers an interpretable and controllable tool for anomaly detection, promising for medical diagnostics.

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A cook spends years honing the skill of reducing a recipe to three or four essentials and recreating the dish from them. If the ingredients are familiar, the expected meal lands on the plate. A foreign ingredient disrupts compression, and you get something unrecognizable. The Quantum Compressor does the same with medical scans. It slices the image into tiny patches, encodes them into an abstract code, and trains on healthy samples, lowering entropy — information junk. The scans rely on faint signals from hydrogen atoms.

After training, the algorithm easily packs and unpacks normal tissue. A tumor acts like an uninvited ingredient: compression throws a high error that can be measured. On full slices, accuracy reached 95% — better than classical compressors and simple statistical analysis.

The most surprising part: the method doesn't just diagnose; it draws a map of suspicious areas — the doctor doesn't have to guess where to look.

🎯 The program needed just 4 qubits to work — like cooking a dinner party on a toy stove.

🎬 The medical scanners on Star Trek found diseases instantly — the first steps toward that future are being born in quantum labs.

Scientists
Jacob BekensteinStephen HawkingCharles-Augustin de CoulombJames Clerk MaxwellLudwig BoltzmannJohannes Rydberg
Tags
entropy hydrogen
Laws
second law of thermodynamicsBekenstein-Hawking entropyCoulomb's lawBoltzmann distributionRydberg formulafirst law of thermodynamics
Original: arXiv:2606.27411 · CC BY 4.0 · bridge42worlds