About
In a world where big data is ubiquitous, fast and efficient data processing is indispensable. To this end, vast global investment in emerging quantum computing technology has revived hopes to build a full-scale quantum computer in the foreseeable future. It can foster our computing power. In the meantime, intensive research is being carried out to develop efficient algorithms for running on the so-called Noisy Intermediate Scale Quantum (NISQ) computers. Our focus in the QuOne Lab is to catch up with and contribute to cutting-edge research in these areas.
Members
Research Themes
- Quantum software
- Quantum Machine Learning
- Quantum Optimization
Research Outputs
- A report of research plan that addresses a road-map for performing the project to business impact
- Publications on Quantum machine learning
- Publications on Quantum optimization
- Public events, widespread job announcements, invited talks and etc. for spreading the knowledge
Publication
Paper
●2021
Separation of quantum, spatial quantum, and approximate quantum correlations
Salman Beigi
Paper
●2022
Limits of Short-Time Evolution of Local Hamiltonians
Ali Hamed Moosavian, Sajad Kahani, Salman Beigi
Paper
●2022
Quantum Lazy Training
Erfan Abedi, Leila Taghavi, Salman Beigi
Paper
●2022
Simplified quantum algorithm for the oracle identification problem
Leila Taghavi
Report
●2020
Report on Companies
Artin Tajdini, Ali Hamed Moosavian, Leila Taghavi, Sajad Kahani, Salman Beigi
Paper
●2022
Quantum Kernel Method in the Presence of Noise
Salman Beigi
Paper
●2022
Time and Query-Optimal Quantum Algorithms Based on Decision Trees
Artin Tajdini, Leila Taghavi, Salman Beigi
Paper
●2023
Classical Algorithm for the Mean Value problem over Short-Time Hamiltonian Evolutions
Reyhaneh Aghaei Saem, Ali Hamed Moosavian