[HTML][HTML] A systematic review on power systems planning and operations management with grid integration of transportation electrification at scale
Transportation electrification plays a crucial role in mitigating greenhouse gas (GHG)
emissions and enabling the decarbonization of power systems. However, current research …
emissions and enabling the decarbonization of power systems. However, current research …
Challenges and opportunities of FACTS devices interacting with electric vehicles in distribution networks: A technological review
A Mousaei, M Gheisarnejad, MH Khooban - Journal of Energy Storage, 2023 - Elsevier
Electric vehicles have many opportunities to participate in auxiliary operations as research
interest in renewables and green energy sources grows. This paper discusses novel energy …
interest in renewables and green energy sources grows. This paper discusses novel energy …
Quantum feature maps for graph machine learning on a neutral atom quantum processor
Using a quantum processor to embed and process classical data enables the generation of
correlations between variables that are inefficient to represent through classical …
correlations between variables that are inefficient to represent through classical …
Quantum computing at the quantum advantage threshold: a down-to-business review
AK Fedorov, N Gisin, SM Beloussov… - arXiv preprint arXiv …, 2022 - arxiv.org
It is expected that quantum computers would enable solving various problems that are
beyond the capabilities of the most powerful current supercomputers, which are based on …
beyond the capabilities of the most powerful current supercomputers, which are based on …
[PDF][PDF] Hyperparameter optimization of hybrid quantum neural networks for car classification
A Sagingalieva, A Kurkin, A Melnikov… - arXiv preprint arXiv …, 2022 - academia.edu
Image recognition is one of the primary applications of machine learning algorithms.
Nevertheless, machine learning models used in modern image recognition systems consist …
Nevertheless, machine learning models used in modern image recognition systems consist …
Benchmarking quantum coprocessors in an application-centric, hardware-agnostic, and scalable way
Existing protocols for benchmarking current quantum coprocessors fail to meet the usual
standards for assessing the performance of high-performance-computing platforms. After a …
standards for assessing the performance of high-performance-computing platforms. After a …
Quantum approximate optimization algorithm for qudit systems
A frequent starting point of quantum computation platforms is the two-state quantum system,
ie, the qubit. However, in the context of integer optimization problems, relevant to scheduling …
ie, the qubit. However, in the context of integer optimization problems, relevant to scheduling …
Implementation of quantum annealing: A systematic review
LP Yulianti, K Surendro - IEEE Access, 2022 - ieeexplore.ieee.org
Quantum annealing is a quantum computing approach widely used for optimization and
probabilistic sampling problems. It is an alternative approach designed due to the limitations …
probabilistic sampling problems. It is an alternative approach designed due to the limitations …
Quantum technologies for climate change: Preliminary assessment
Climate change presents an existential threat to human societies and the Earth's
ecosystems more generally. Mitigation strategies naturally require solving a wide range of …
ecosystems more generally. Mitigation strategies naturally require solving a wide range of …
Solving correlation clustering with QAOA and a Rydberg qudit system: a full-stack approach
JR Weggemans, A Urech, A Rausch, R Spreeuw… - Quantum, 2022 - quantum-journal.org
We study the correlation clustering problem using the quantum approximate optimization
algorithm (QAOA) and qudits, which constitute a natural platform for such non-binary …
algorithm (QAOA) and qudits, which constitute a natural platform for such non-binary …