Pages that link to "Item:Q1793976"
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The following pages link to Supervised learning with quantum computers (Q1793976):
Displaying 37 items.
- Quantum algorithm design: techniques and applications (Q1730317) (← links)
- Double sparse quantum state preparation (Q2107999) (← links)
- Quantum approximate optimization algorithm for Bayesian network structure learning (Q2111010) (← links)
- Role of collective information in networks of quantum operating agents (Q2139978) (← links)
- Quantum-hybrid neural vector quantization -- a mathematical approach (Q2148712) (← links)
- The theory of the quantum kernel-based binary classifier (Q2213171) (← links)
- Quantum optimal transport with quantum channels (Q2231908) (← links)
- Quantum classifier with entangled subgraph states (Q2239767) (← links)
- Quantum circuit for the fast Fourier transform (Q2681638) (← links)
- Quantum algorithm for help-training semi-supervised support vector machine (Q2681639) (← links)
- Quantum locally linear embedding for nonlinear dimensionality reduction (Q2681681) (← links)
- Quantum Bayesian inference for parameter estimation using quantum generative model (Q2686205) (← links)
- Quantum algorithm for the advection-diffusion equation simulated with the lattice Boltzmann method (Q2687094) (← links)
- A hybrid classical-quantum approach for multi-class classification (Q2687223) (← links)
- Configurable sublinear circuits for quantum state preparation (Q2687360) (← links)
- QBoost for regression problems: solving partial differential equations (Q2687371) (← links)
- Quantum greedy algorithms for multi-armed bandits (Q2693852) (← links)
- Quantum classifiers for domain adaptation (Q2693860) (← links)
- Quantum machine learning: a classical perspective (Q4556858) (← links)
- Approximate supervised learning of quantum gates via ancillary qubits (Q4620290) (← links)
- Quantum Markovianity as a supervised learning task (Q4620305) (← links)
- Quantum Hardness of Learning Shallow Classical Circuits (Q4994987) (← links)
- Quantum algorithm for the Navier–Stokes equations by using the streamfunction-vorticity formulation and the lattice Boltzmann method (Q5074434) (← links)
- Continuous variable quantum perceptron (Q5219353) (← links)
- Quantum speedup of Bayes’ classifiers (Q5870332) (← links)
- An Introduction to Quantum Machine Learning for Engineers (Q5870786) (← links)
- Quantum algorithm for estimating largest eigenvalues (Q6068124) (← links)
- QSurfNet: a hybrid quantum convolutional neural network for surface defect recognition (Q6101560) (← links)
- Variational quantum computation integer factorization algorithm (Q6145369) (← links)
- A multi-classification classifier based on variational quantum computation (Q6149140) (← links)
- Quantum clustering with \(k\)-means: a hybrid approach (Q6190010) (← links)
- A quantum-inspired approach to pattern recognition and machine learning. I (Q6538463) (← links)
- Quantum deep neural networks for time series analysis (Q6550843) (← links)
- Quantum algorithm for computing distances between subspaces (Q6576502) (← links)
- Constant-time quantum algorithm for homology detection in closed curves (Q6596407) (← links)
- An introduction to quantum computing for statisticians and data scientists (Q6620130) (← links)
- Recognizing concepts and recognizing musical themes. A quantum semantic analysis (Q6623942) (← links)
