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quant-ph2026
Algebraic Operator Decomposition: A Partitioned Architecture for Noise-Resilient Quantum Computing
Wladimir Silva
We present an operator-decomposition architecture that mathematically maps a global operator into independently executable local operators, reducing the maximum quantum circuit dep…
quant-ph2026
Quantifying the Hadamard Resilience Effect and the Coherence Gap in NISQ-Era Classifiers
Wladimir Silva
We report on a fundamental disparity between stochastic noise models and algorithmic performance in NISQ-era classifiers. Utilizing the ibm_kingston processor, we characterize the…
quant-ph2026
AQ-Stacker: An Adaptive Quantum Matrix Multiplication Algorithm with Scaling via Parallel Hadamard Stacking
Wladimir Silva
Matrix multiplication (MatMul) is the computational backbone of modern machine learning, yet its classical complexity remains a bottleneck for large scale data processing. We propo…