A new quantum uploading procedure accelerates the processing of data from physical experiments. Ishaan Kannan and colleagues at Harvard University demonstrate exponential speedups in both classical shadow tomography and the estimation of cubic observables, surpassing the performance of non-encoded adaptive strategies. The advance is key because it overcomes the challenge of noise when coupling a quantum processor to an experimental sample, maintaining learning efficiency even with imperfect hardware. The team validated their findings with a simulation of astronomical imaging, showing sharp reductions in the number of measurements needed to detect exoplanets, and establishing the potential of fault-tolerant quantum computation for scientific discovery. Embedding quantum states within error-correcting codes for noise durability Quantum uploading swiftly embeds an unknown quantum system into a protective quantum code; this is a method of protecting quantum information from errors, similar to how redundant data is used in traditional computing to ensure data integrity. This process immediately shields the quantum information, compressing any initial exposure to noise into a single, manageable step before fault-tolerant processing begins. The technique begins with a transduction stage, mapping the physical state from the experiment onto the quantum processor’s memory, followed by injecting that state into an error-correcting code, effectively creating a strong logical state Efficiency gains are substantial when performing learning tasks on this encoded state, circumventing the typical slowdowns caused by accumulating noise during analysis. Embedding a quantum system into an error-correcting code protects information from noise during processing. First, the physical state is transduced onto the quantum processor’s memory, then injected into the code, creating a strong logical state. The chosen approach compresses initial noise exposure into a single step, allowing for fault-tolerant processing and circumventing typical slowdowns; the code distance can be arbitrarily high with constant error overhead. Quantum uploading enhances exoplanet detection and quantum state characterisation