Search Results for author:
Found 17 papers, 10 papers with code
Better than classical? The subtle art of benchmarking quantum machine learning models
Benchmarking models via classical simulations is one of the main ways to judge ideas in quantum machine learning before noise-free hardware is available.
Supervised quantum machine learning models are kernel methods
With near-term quantum devices available and the race for fault-tolerant quantum computers in full swing, researchers became interested in the question of what happens if we replace a supervised machine learning model with a quantum circuit.
The effect of data encoding on the expressive power of variational quantum machine learning models
Quantum computers can be used for supervised learning by treating parametrised quantum circuits as models that map data inputs to predictions.
Quantum embeddings for machine learning
Quantum classifiers are trainable quantum circuits used as machine learning models.
Quantum Physics
Transfer learning in hybrid classical-quantum neural networks
We extend the concept of transfer learning, widely applied in modern machine learning algorithms, to the emerging context of hybrid neural networks composed of classical and quantum elements.
Applications of Near-Term Photonic Quantum Computers: Software and Algorithms
Gaussian Boson Sampling (GBS) is a near-term platform for photonic quantum computing.
Quantum Physics Computational Physics
Stochastic gradient descent for hybrid quantum-classical optimization
We formalize this notion, which allows us to show that in many relevant cases, including VQE, QAOA and certain quantum classifiers, estimating expectation values with $k$ measurement outcomes results in optimization algorithms whose convergence properties can be rigorously well understood, for any value of $k$.
Machine learning and the physical sciences
Machine learning encompasses a broad range of algorithms and modeling tools used for a vast array of data processing tasks, which has entered most scientific disciplines in recent years.
Computational Physics Cosmology and Nongalactic Astrophysics Disordered Systems and Neural Networks High Energy Physics - Theory Quantum Physics
Evaluating analytic gradients on quantum hardware
An important application for near-term quantum computing lies in optimization tasks, with applications ranging from quantum chemistry and drug discovery to machine learning.
Quantum Physics
PennyLane: Automatic differentiation of hybrid quantum-classical computations
PennyLane's core feature is the ability to compute gradients of variational quantum circuits in a way that is compatible with classical techniques such as backpropagation.
Continuous-variable quantum neural networks
The quantum neural network is a variational quantum circuit built in the continuous-variable (CV) architecture, which encodes quantum information in continuous degrees of freedom such as the amplitudes of the electromagnetic field.
Circuit-centric quantum classifiers
In this paper, we propose a low-depth variational quantum algorithm for supervised learning.
Quantum Physics
Quantum machine learning in feature Hilbert spaces
We interpret the process of encoding inputs in a quantum state as a nonlinear feature map that maps data to quantum Hilbert space.
Quantum Physics
Quantum ensembles of quantum classifiers
Following the success of collective decision making with ensembles in classical machine learning, this paper introduces the concept of quantum ensembles of quantum classifiers.
Implementing a distance-based classifier with a quantum interference circuit
Lately, much attention has been given to quantum algorithms that solve pattern recognition tasks in machine learning.
Quantum Physics
Simulating a perceptron on a quantum computer
Perceptrons are the basic computational unit of artificial neural networks, as they model the activation mechanism of an output neuron due to incoming signals from its neighbours.
Quantum computing for pattern classification
It is well known that for certain tasks, quantum computing outperforms classical computing.
Quantum Physics
