Quantum Embedding Problems: Fitting Systems Together
Quantum embedding methods treat a small, important part of a system on a quantum computer and the rest classically. How they work and scale.
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Quantum Machine Learning
Quantum neural networks, kernels, clustering and variational classifiers — where quantum computing meets AI, and what is still hype.
62 articles
Quantum Sparse Coding and Dictionary Learning
Quantum approaches to sparse coding and dictionary learning: how data might be encoded in quantum states and how they compare with classical ones.
How Hard Are Quantum Neural Networks to Train?
Why quantum neural networks can be hard to train: barren plateaus, circuit depth, qubit connectivity, noise and the complexity trade-offs.
Quantum Boltzmann Machines and Their Training
Quantum Boltzmann machines extend Boltzmann machines with quantum terms. How they are trained, possible uses and current challenges.
Quantum Neural Networks: Architectures and Training
Quantum neural network architectures and how they are trained: parameterized circuits, gradients, data encoding and barren plateaus.
Quantum Linguistics: Meaning as Vector Composition
Quantum natural language processing represents word meanings as vectors and composes them with tensor rules. The ideas and their limits.
Quantum Cognitive Models: Probability, Reconsidered
Quantum cognitive models apply quantum probability to memory, judgment and decision-making. What they explain and how they are tested.
Quantum Machine Learning: The Field, Surveyed
A survey of quantum machine learning: data encoding, feature maps, quantum neural networks, claimed speedups and open challenges.
Quantum Artificial Intelligence: The Honest Picture
An honest picture of quantum artificial intelligence: what quantum machine learning can do today, the hardware limits and open problems.
Quantum Reinforcement Learning and Its Speedups
Quantum reinforcement learning combines quantum computing with reward-driven learning. Claimed speedups, uses and current limitations.
Quantum Adaptive Learning Systems
How ideas from quantum computing are being proposed for adaptive learning systems in education, and what remains speculative.
Quantum Computational Neuroscience: The Claims
What quantum computational neuroscience proposes: quantum models of brain activity, quantum sensors and simulations, and the scientific criticism.
