Efficient quantum modular arithmetics for the isq era
P Atchade-Adelomou, S Gonzalez - arXiv preprint arXiv:2311.08555, 2023 - arxiv.org
As we venture into the Intermediate-Scale Quantum (ISQ) era, the proficiency of modular
arithmetic operations becomes pivotal for advancing quantum cryptographic algorithms. This …
arithmetic operations becomes pivotal for advancing quantum cryptographic algorithms. This …
Quantum Machine Learning hyperparameter search
S Consul-Pacareu, R Montaño… - arXiv preprint arXiv …, 2023 - arxiv.org
This paper presents a quantum-based Fourier-regression approach for machine learning
hyperparameter optimization applied to a benchmark of models trained on a dataset related …
hyperparameter optimization applied to a benchmark of models trained on a dataset related …
Barren plateaus are swamped with traps
Two main challenges preventing efficient training of variational quantum algorithms and
quantum machine learning models are local minima and barren plateaus. Typically, barren …
quantum machine learning models are local minima and barren plateaus. Typically, barren …
Quantum improvement in Spatial Discretization
S Gonzalez, P Atchade-Adelomou - arXiv preprint arXiv:2312.09036, 2023 - arxiv.org
Quantum algorithms have begun to surpass classical ones in several computation fields, yet
practical application remains challenging due to hardware and software limitations. Here …
practical application remains challenging due to hardware and software limitations. Here …
arXiv: Efficient Quantum Modular Arithmetics for the ISQ Era
P Atchade-Adelomou, S Gonzalez - 2023 - cds.cern.ch
As we venture into the Intermediate-Scale Quantum (ISQ) era, the proficiency of modular
arithmetic operations becomes pivotal for advancing quantum cryptographic algorithms. This …
arithmetic operations becomes pivotal for advancing quantum cryptographic algorithms. This …