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quant-ph2026
Local tensor-train surrogates for quantum learning models
Sreeraj Rajindran Nair, Christopher Ferrie
A key bottleneck in quantum machine learning is the computational cost of repeated quantum circuit evaluations during the inference phase. To address this, we present a framework f…
quant-ph2025
Local surrogates for quantum machine learning
Sreeraj Rajindran Nair, Christopher Ferrie
Surrogates have been proposed as classical simulations of the pretrained quantum learning models, which are capable of mimicking the input-output relation inherent in the quantum m…
quant-ph2025
Short-time quantum Fourier transform processing
Sreeraj Rajindran Nair, Benjamin Southwell, Christopher Ferrie
Algorithms for processing data in short-time batches are critical for both online and offline processing of streamed and large data respectively due to the quadratic relation betwe…