Cargando…

An optimizing method for performance and resource utilization in quantum machine learning circuits

Quantum computing is a new and advanced topic that refers to calculations based on the principles of quantum mechanics. It makes certain kinds of problems be solved easier compared to classical computers. This advantage of quantum computing can be used to implement many existing problems in differen...

Descripción completa

Detalles Bibliográficos
Autores principales:	Salehi, Tahereh, Zomorodi, Mariam, Plawiak, Pawel, Abbaszade, Mina, Salari, Vahid
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Nature Publishing Group UK 2022
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9551098/ https://www.ncbi.nlm.nih.gov/pubmed/36216853 http://dx.doi.org/10.1038/s41598-022-20375-5

Ejemplares similares

A hierarchical approach for building distributed quantum systems
por: Davarzani, Zohreh, et al.
Publicado: (2022)

Automated Detection of Autism Spectrum Disorder Using a Convolutional Neural Network
por: Sherkatghanad, Zeinab, et al.
Publicado: (2020)

Dendrites and Efficiency: Optimizing Performance and Resource Utilization
por: Makarov, Roman, et al.
Publicado: (2023)

Quantum circuit optimization using quantum Karnaugh map
por: Bae, J.-H., et al.
Publicado: (2020)

Quantum Circuit Optimization for Scientific Applications
por: Terashi, Koji
Publicado: (2021)

Reversible and quantum circuits: optimization and complexity analysis
por: Abdessaied, Nabila, et al.
Publicado: (2016)

Improving Resource Utilization for Arthroplasty Care by Leveraging Machine Learning and Optimization: A Systematic Review
por: Entezari, Bahar, et al.
Publicado: (2023)

Hyperspectral Classification of Blood-Like Substances Using Machine Learning Methods Combined with Genetic Algorithms in Transductive and Inductive Scenarios
por: Pałka, Filip, et al.
Publicado: (2021)

Applications of Quantum Computing: Quantum Machine Learning, Optimization and CERN use-cases
por: Rieger, Carla Sophie
Publicado: (2023)

Optimizing High-Efficiency Quantum Memory with Quantum Machine Learning for Near-Term Quantum Devices
por: Gyongyosi, Laszlo, et al.
Publicado: (2020)

Quantum Gate Pattern Recognition and Circuit Optimization for Scientific Applications
por: Terashi, Koji
Publicado: (2021)

Quantum Interference and Selectivity through Biological Ion Channels
por: Salari, Vahid, et al.
Publicado: (2017)

Quantum generative adversarial learning in a superconducting quantum circuit
por: Hu, Ling, et al.
Publicado: (2019)

Validity Examination of the Dissipative Quantum Model of Olfaction
por: Tirandaz, Arash, et al.
Publicado: (2017)

Machine learning for optimal test admission in the presence of resource constraints
por: Elitzur, Ramy, et al.
Publicado: (2023)

Optimal metrology with variational quantum circuits on trapped ions: theory and experiment
por: Kaubruegger, Raphael, et al.
Publicado: (2021)

Optimization of shadow evaporation and oxidation for reproducible quantum Josephson junction circuits
por: Moskalev, Dmitry O., et al.
Publicado: (2023)

Quantum Circuit Simulation
por: Viamontes, George F
Publicado: (2009)

Simulatability of quantum circuits
por: Rieger, Carla Sophie
Publicado: (2023)

Quantum-circuit refrigerator
por: Tan, Kuan Yen, et al.
Publicado: (2017)

Optimizing Hospital Resource Utilization in Bariatric Readmission
por: Lyn-Sue, Jerome R., et al.
Publicado: (2018)

An effective correlation-based data modeling framework for automatic diabetes prediction using machine and deep learning techniques
por: Patro, Kiran Kumar, et al.
Publicado: (2023)

Quantum Machine Learning on Quantum Data
por: Monaco, Saverio
Publicado: (2022)

A multi-commodity network model for optimal quantum reversible circuit synthesis
por: Jung, Jihye, et al.
Publicado: (2021)

Superconducting quantum circuit of NOR in quantum annealing
por: Saida, Daisuke, et al.
Publicado: (2022)

Superadditivity of two quantum information resources
por: Nawareg, Mohamed, et al.
Publicado: (2017)

Quantum machine learning
por: Allcock, Jonathan, et al.
Publicado: (2019)

Wafer-scale functional circuits based on two dimensional semiconductors with fabrication optimized by machine learning
por: Chen, Xinyu, et al.
Publicado: (2021)

Basic protocols in quantum reinforcement learning with superconducting circuits
por: Lamata, Lucas
Publicado: (2017)

Quantum Memristors with Superconducting Circuits
por: Salmilehto, J., et al.
Publicado: (2017)

ECG-COVID: An end-to-end deep model based on electrocardiogram for COVID-19 detection
por: Sakr, Ahmed S., et al.
Publicado: (2023)

Optimizing quantum cloning circuit parameters based on adaptive guided differential evolution algorithm
por: Houssein, Essam H., et al.
Publicado: (2020)

A Method Based on Timing Weight Priority and Distance Optimization for Quantum Circuit Transformation
por: Qian, Yang, et al.
Publicado: (2023)

Training of quantum circuits on a hybrid quantum computer
por: Zhu, D., et al.
Publicado: (2019)

Machine Learning-Driven Enterprise Human Resource Management Optimization and Its Application
por: Sun, Jingtong
Publicado: (2022)

Synthesis of quantum circuits vs. synthesis of classical reversible circuits
por: De Vos, Alexis, et al.
Publicado: (2018)

Nonlinear dynamics based machine learning: Utilizing dynamics-based flexibility of nonlinear circuits to implement different functions
por: Kia, Behnam, et al.
Publicado: (2020)

Quantum Machine Learning at LHCb
por: Nicotra, Davide
Publicado: (2021)

Quantum simulation and machine learning
por: Spannowsky, Michael
Publicado: (2022)

Federated Quantum Machine Learning
por: Chen, Samuel Yen-Chi, et al.
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_19rm3b3aetqg2s4s34tjhr6iv2