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Ganna (Anya) Gryn’ova 🇺🇦
Ganna (Anya) Gryn’ova 🇺🇦 @grynova_CCC ·
Preprint alert! We show that representations based on one-electron integrals, eg the kinetic energy matrix, can effectively predict materials properties. Preprint chemrxiv.org/doi/full/10.26… Code github.com/grynova-ccc/qu… #AIforMaterials #QuantumMachineLearning #ChemicalAI
GitHub - grynova-ccc/quantum_periodic_representations: This GitHub repository contains the codes...

This GitHub repository contains the codes supporting the research presented in the article “Representing periodic systems with one-electron integral matrices”. - grynova-ccc/quantum_periodic_repres...

From github.com
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AIQuantumAndScienceNews
AIQuantumAndScienceNews @AIQuantumLifeEx ·
Beyond Barren Plateaus: A Scalable Quantum Convolutional Architecture for High-Fidelity Image Classification Preprint: This work proposes a new QCNN architecture to overco… arxiv.org/abs/2603.11131 #QuantumMachineLearning #AI #MachineLearning #Preprint #Arxiv #ScienceNews
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Beyond Barren Plateaus: A Scalable Quantum Convolutional...

While Quantum Convolutional Neural Networks (QCNNs) offer a theoretical paradigm for quantum machine learning, their practical implementation is severely bottlenecked by barren plateaus -- the...

From arxiv.org
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Informaq - Quantum Insight Bites
Informaq - Quantum Insight Bites @informaq_en ·
Bosonic interference on the Prakash-1 integrated photonic processor achieves information-theoretically optimal quantum state overlap estimation, enabling >90% classification accuracy ... #QuantumMachineLearning #PhotonicQuantumComputing #QuantumAdvantage iq.fp2.dev/DyTSa
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Machine learning of quantum data using optimal similarity measurements

Quantum machine learning seeks a computational advantage in data processing by evaluating functions of quantum states, such as their similarity, that can be classically intractable to compute. For...

From arxiv.org
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STMU
STMU @STMU_Official ·
Congrats to Ms. Sumaira Tariq on defending her Master's thesis! "A Hybrid Quantum Framework for Classifying Software Defects" introduces a quantum-classical pipeline using Grover's Search & VQC, enhancing software reliability & diagnostic accuracy. #QuantumMachineLearning #Shifa
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