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đź“°News:
- REDEFINING ARTIFICIAL GLOBAL INTELLIGENCE (AGI)
- Deep reinforcement learning will transform manufacturing as we know it
- Quantum computers are already detangling nature’s mysteries
- Could a quantum leap someday aid ethical AI?
- DRIVING THE NEXT GENERATION OF ARTIFICIAL INTELLIGENCE (AI)
đź“˝Videos:
- How To Go From No Math to Quantum Machine Learning
- Quantum Machine Learning and Quantum Biomimetics with Dr. Lucas Lamata
- Quantum Computing in Machine Learning a talk by Zapata
- Research: Machine learning & the quantum mechanics of materials and molecules
- Xiaoliang Qi, “Entanglement island, miracle operators and the firewall”
- Reinforcement Learning in Quantum Control
👨‍💻Developers:
- qiskit release: Qiskit 0.27.0
đź“—Papers:
- Variational Quantum Eigensolver with Reduced Circuit Complexity
- Classical and Quantum Algorithms for Orthogonal Neural Networks
- Transferability of optimal QAOA parameters between random graphs
- Quantum Architecture Search with Meta-learning
- Quantum Generative Training Using RĂ©nyi Divergences
- A Comparison of Various Classical Optimizers for a Variational Quantum Linear Solver
- Quantum and Classical Bayesian Agents
- EVA: a quantum Exponential Value Approximation algorithm
- A variational quantum algorithm based on the minimum potential energy for solving the Poisson equation
- Self-Guided Quantum State Learning for Mixed States
- Exponential Error Convergence in Data Classification with Optimized Random Features: Acceleration by Quantum Machine Learning
- Molecular excited state VQE simulations with iteratively constructed qubit-excitation-based ansätze
- Trainable Discrete Feature Embeddings for Variational Quantum Classifier
- Quantum Cluster Algorithm for Data classification
- Sample-efficient adaptive calibration of quantum networks using Bayesian optimization
- Unconstrained Binary Models of the Travelling Salesman Problem Variants for Quantum Optimization
- Application of the Quantum Potential Neural Network to multi-electronic atoms
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