Boosting practical applications of #quantumcomputing in the NISQ era | We receive funding from the @EU_H2020 Research & Innovation Programme | @QuantumFlagship
NEASQC ends on 30/11/24, but we leave behind a wealth of results for the #QuantumComputing community
15 open source packages on GitHub
21 replayable webinars
40 scientific publications
Check our 9 use cases and leverage our findings!
https://t.co/mBsvdSKFjy
NEASQC ends soon: our researchers share many results, such as this paper prepared by @UDC_gal
"Quantum Factory Method: A Software Engineering Approach to Deal with Incompatibilities in Quantum Libraries" (#QuantumComputing Thematic Track of #ICCS)
https://t.co/zuBWXOmlBM
NEASQC ends soon: our researchers share many results, such as this workshop paper prepared by @UniLeiden
"Quantum graph-state Synthesis with SAT" presented at the 14th Pragmatics of SAT
https://t.co/dpotHGGTBD
NEASQC ends soon: our researchers share many results such as this journal article prepared by @AstraZeneca in our use case on Drug Discovery:
Nonadiabatic nuclear-electron dynamics: a quantum computing approach
in The Journal of Physical Chemistry Letters
https://t.co/Xlh3AFlB5V
NEASQC ends soon: our researchers share many results, such as this journal article prepared by @UniLeiden & @TotalEnergies in our use case on Inventory Management
"High Dimensional Quantum Machine Learning With Small Quantum Computers" in @quantumjournal
https://t.co/di6UUVhVlR
NEASQC ends soon: our researchers share many results, such as this journal article prepared by @Evidenlive@Eviden_Compute
"Quantum computing with and for many-body physics" published in The European Physical Journal A
https://t.co/j3uFgGQbYt
Still time to register for the NEASQC webinar TOMORROW: Managing uncertainty in AI with #QuantumComputing
Our use case on Quantum rule-based systems (QRBS) for breast cancer detection shares its findings!
@citicresearch@UDC_gal
https://t.co/LhpqNXwyvp
NEASQC ends soon: our use cases share many results, such as this conference paper prepared by NEASQC partners @UniLeiden and @TotalEnergies : "Application of quantum-inspired generative models to small molecular datasets"
https://t.co/0KZNBnnd7j
Next NEASQC webinar: Managing uncertainty in AI with Quantum Computing
ποΈ2 October 11am CEST
Our use case on Quantum rule-based systems (QRBS) for breast cancer detection shares its findings with the #QuantumComputing community!
@citicresearch@UDC_gal
https://t.co/LhpqNXwyvp
NEASQC ends soon: our use cases share many results, such as this conference paper from our use case on smart charging, investigated by @EDFofficiel
"Quantum Distance Calculation for Ξ΅ -Graph Construction"
https://t.co/R8PlHhpt2I
Next NEASQC webinar: Managing uncertainty in AI with Quantum Computing
ποΈ2 October 11am CEST
Our use case on Quantum rule-based systems (QRBS) for breast cancer detection shares its findings with the #QuantumComputing community!
@citicresearch@UDC_gal
https://t.co/LhpqNXwyvp
NEASQC ends soon: our use cases share many results, such as this paper from our #MachineLearning use cases / @UniLeiden: Shadows of quantum machine learning
It introduces a class of quantum models where quantum resources are only required during training.
https://t.co/8OEh9KuaEF
Next NEASQC webinar: Managing uncertainty in AI with Quantum Computing
ποΈ2 October 11am CEST
Our use case on Quantum rule-based systems (QRBS) for breast cancer detection shares its findings with the #QuantumComputing community!
@citicresearch@UDC_gal
https://t.co/LhpqNXw0FR
Did you miss our last webinar on "Hard optimisation problems for smart-charging of electric vehicles"? No problem! You can catch up on all our webinars on our YouTube channel. Just search for the topic you're interested in.
https://t.co/YnKvsesdCQ
NEASQC webinar TOMORROW 11am CEST: Hard optimisation problems for smart-charging of EVs.
Solving a Smart-Charging Special Case as a graph Coloring Problem with a Hybrid Quantum-Classical Decomposition Scheme - PhD work by @EDFofficiel & @Univ_Lorraine
https://t.co/bBFxz2XMmv
Next NEASQC webinar: Hard optimisation problems for smart-charging of EVs
π03/09 11am CEST
Solving a Smart-Charging Special Case as a graph Coloring Problem with a Hybrid Quantum-Classical Decomposition Scheme - PhD work by @EDFofficiel & @Univ_Lorraine
https://t.co/bBFxz2XMmv
NEASQC ends soon: our use cases share many results, such as this article from use case Reinforcement Learning for Inventory Management investigated by @TotalEnergies & @UniLeiden
Reinforcement Learning Assisted Recursive QAOA - in EPJ Quantum Technologies
https://t.co/tYTcpxAOsS
The NEASQC webinars will resume after the Summer break with "Hard optimisation problems for smart-charging of electric vehicles"
π 3 September 11am CEST
We will present PhD work done as part of a collaboration between @EDFofficiel R&D and @Univ_Lorraine
https://t.co/bBFxz2Ykc3
NEASQC ends soon: our use cases share many results, such as this article from use case HPC mesh segmentation (@TotalEnergies & @UniLeiden)
Solving various NP-Hard problems using exponentially fewer qubits on a Quantum Computer - in APS Physical Review A
https://t.co/RQ43zlnbeC
The NEASQC webinars will resume after the Summer break with "Hard optimisation problems for smart-charging of electric vehicles"
π 3 September 11am CEST
We will present PhD work done as part of a collaboration between @EDFofficiel R&D and @Univ_Lorraine
https://t.co/bBFxz2Ykc3