13 citations · 13 across the 7 of their papers we have counts for
4 papers · 1 filter
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…
Green-ELM: Efficient Analytic Learning via High-Dimensional Random Projections
Wladimir Silva
We present Green-ELM, a non-iterative neural architecture that replaces gradient-based optimization of the output layer with a closed-form analytic solution over a fixed, high-dime…
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…
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…