Quantum Algorithm Exploration using Application-Oriented Performance Benchmarks
T Lubinski, JJ Goings, K Mayer, S Johri… - arXiv preprint arXiv …, 2024 - arxiv.org
The QED-C suite of Application-Oriented Benchmarks provides the ability to gauge
performance characteristics of quantum computers as applied to real-world applications. Its …
performance characteristics of quantum computers as applied to real-world applications. Its …
Quantum approximated cloning-assisted density matrix exponentiation
P Rodriguez-Grasa, R Ibarrondo… - arXiv preprint arXiv …, 2023 - arxiv.org
Classical information loading is an essential task for many processing quantum algorithms,
constituting a cornerstone in the field of quantum machine learning. In particular, the …
constituting a cornerstone in the field of quantum machine learning. In particular, the …
Digital-analog counterdiabatic quantum optimization with trapped ions
We introduce a hardware-specific, problem-dependent digital-analog quantum algorithm of
a counterdiabatic quantum dynamics tailored for optimization problems. Specifically, we …
a counterdiabatic quantum dynamics tailored for optimization problems. Specifically, we …
Digital-analog quantum computing and algorithms
A Martin - arXiv preprint arXiv:2401.10622, 2024 - arxiv.org
This Thesis delves into the development and implementation of quantum algorithms using
the digital-analog quantum computing (DAQC) paradigm. It provides a comparative analysis …
the digital-analog quantum computing (DAQC) paradigm. It provides a comparative analysis …
Digital-Analog Quantum Machine Learning
L Lamata - arXiv preprint arXiv:2411.10744, 2024 - arxiv.org
Machine Learning algorithms are extensively used in an increasing number of systems,
applications, technologies, and products, both in industry and in society as a whole. They …
applications, technologies, and products, both in industry and in society as a whole. They …
Angles and devices for quantum approximate optimization
DK Headley - 2023 - publikationen.sulb.uni-saarland.de
A potential application of emerging Noisy Intermediate-Scale Quantum (NISQ) devices is
that of approximately solving combinatorial optimization problems. This thesis investigates a …
that of approximately solving combinatorial optimization problems. This thesis investigates a …