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Preprint Sep 2026

Quantum Circuit Pruning: From NISQ Architectures to Fault-Tolerant Operations

We present a routing-aware pruning strategy for quantum circuits that selectively removes parametric two-qubit gates whose computational contribution is outweighed by the fidelity cost of their execution, and assess it across both Noisy Intermediate-Scale Quantum (NISQ) and fault-tolerant quantum computing (FTQC) archi...

Pau Escofet, C. G. Almudéver, S. Abadal et al. · 0 citations
#machine learning Preprint Sep 2026

Weighted Quantum Signal Processing: Low-Depth Polynomial Approximation with Applications to Kolmogorov-Arnold Networks

Quantum Signal Processing is a powerful quantum framework for generating and approximating univariate polynomials. However, QSP is often limited by circuit-depth bottlenecks and parity constraints on the class of realizable polynomials. In this work, we introduce Weighted Quantum Signal Processing, an extension of QSP...

Rohit Sarma Sarkar, Rupayan Bhattacharjee, E. F. Combarro et al. · 0 citations

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