🎫Events:
📰News:
- AI and quantum computing to be the most impactful next-generation technologies in defence: Poll
- How a 1981 conference kickstarted today’s quantum computing era
📽Videos:
- QML Meetup: Dr Maria Schuld, Taking stock of quantum machine learning – a critical perspective
- Quantum Machine Learning Algorithms for Financial Analysis
- Google and NASA’s Quantum Artificial intelligence
👨💻Developers:
- Qiskit 0.25.4
- PennyLane: Release 0.15.1
- PyQuill: v2.28.1
- AWS Braket: v1.5.16
- OpenQASM 3: A broader and deeper quantum assembly language
- Pulser: An open-source package for the design of pulse sequences in programmable neutral-atom arrays
📗Papers:
- Universal compiling and (No-)Free-Lunch theorems for continuous variable quantum learning
- Experimental Deep Reinforcement Learning for Error-Robust Gateset Design on a Superconducting Quantum Computer
- Towards favorable landscapes in quantum combinatorial optimization
- Entangling Quantum Generative Adversarial Networks
- Practical Verification of Quantum Properties in Quantum Approximate Optimization Runs
- Hot-Start Optimization for Variational Quantum Eigensolver
- Tangent Vector Variational Quantum Eigensolver: A Robust Variational Quantum Eigensolver against the inaccuracy of derivative
- Deep Learning of Quantum Many-Body Dynamics via Random Driving
- Exploring Quantum Perceptron and Quantum Neural Network structures with a teacher-student scheme
- A variational quantum eigensolver for dynamic correlation functions
- Role of stochastic noise and generalization error in the time propagation of neural-network quantum states
- Quantum Machine Learning with SQUID
- Quantum neural networks with multi-qubit potentials
- Machine Learning Framework for Quantum Sampling of Highly-Constrained, Continuous Optimization Problems
- Self-replication of a quantum artificial organism driven by single-photon pulses
- A QUBO Formulation for Eigencentrality
- Revisiting the double-well problem by deep learning with a hybrid network
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