Compression ratio under the classical INR baseline.
Simulation studio
quINR Compression Rate Explorer
A full-resolution image or signal is compressed with both a classical INR and a quINR so the learner can compare compression ratio and PSNR.
Quantum parameter count changes the quality-compression frontier while a residual viewer reveals which spectral components are captured more efficiently.
SIM-04AIntermediateLive lab
Module context
Module 4: Representation, compression, and explainability
Module 4 simulations make representational tradeoffs visible, especially where quantum structure is used for compression or explanation acceleration.
- 2 labs in this module.
- Difficulty: Intermediate.
- Dedicated route: /simulations/quinr-compression-rate-explorer.
Live lab
Interactive simulation workspace
This studio route isolates a single simulation so the learner can focus on one model, one control surface, and one explanatory framing at a time.
Browser-playable lab
quINR Compression Rate Explorer
Compare classical INR and quINR compression ratios, PSNR, and residual behavior under different quantum parameter budgets.
Controls
Outputs
Compression ratio under the quINR variant.
Peak signal-to-noise ratio under the quINR variant.
quINR retains higher-frequency edges and textures more efficiently at the same parameter count.
Why this lab matters
Curriculum fit
quINR Compression Rate Explorer sits inside Module 4to reinforce the module's core teaching objective through direct manipulation rather than summary-only reading.
Module 4 simulations make representational tradeoffs visible, especially where quantum structure is used for compression or explanation acceleration.
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