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06/28/2023
Exponential separations between classical and quantum learners
Despite significant effort, the quantum machine learning community has o...
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06/19/2023
Enhancing variational quantum state diagonalization using reinforcement learning techniques
The development of variational quantum algorithms is crucial for the app...
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05/31/2023
Shadows of quantum machine learning
Quantum machine learning is often highlighted as one of the most promisi...
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12/19/2022
Quantum policy gradient algorithms
Understanding the power and limitations of quantum access to data in mac...
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08/12/2022
On establishing learning separations between classical and quantum machine learning with classical data
Despite years of effort, the quantum machine learning community has only...
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07/13/2022
Reinforcement Learning Assisted Recursive QAOA
Variational quantum algorithms such as the Quantum Approximation Optimiz...
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06/20/2022
Hyperparameter Importance of Quantum Neural Networks Across Small Datasets
As restricted quantum computers are slowly becoming a reality, the searc...
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05/12/2022
Equivariant quantum circuits for learning on weighted graphs
Variational quantum algorithms are the leading candidate for near-term a...
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03/25/2022
High Dimensional Quantum Learning With Small Quantum Computers
Quantum computers hold great promise to enhance machine learning, but th...
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10/25/2021
Quantum machine learning beyond kernel methods
With noisy intermediate-scale quantum computers showing great promise fo...
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08/02/2021
LIMDD A Decision Diagram for Simulation of Quantum Computing Including Stabilizer States
Efficient methods for the representation of relevant quantum states and ...
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05/12/2021
Structural risk minimization for quantum linear classifiers
Quantum machine learning (QML) stands out as one of the typically highli...
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03/30/2021
Reinforcement learning for optimization of variational quantum circuit architectures
The study of Variational Quantum Eigensolvers (VQEs) has been in the spo...
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03/09/2021
Variational quantum policies for reinforcement learning
Variational quantum circuits have recently gained popularity as quantum ...
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07/14/2020
Hybrid divide-and-conquer approach for tree search algorithms
As we are entering the era of real-world small quantum computers, findin...
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05/06/2020
Towards quantum advantage for topological data analysis
A particularly promising line of quantum machine leaning (QML) algorithm...
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10/28/2019
A framework for deep energy-based reinforcement learning with quantum speed-up
In the past decade, deep learning methods have seen tremendous success i...
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10/25/2019
On the convergence of projective-simulation-based reinforcement learning in Markov decision processes
In recent years, the interest in leveraging quantum effects for enhancin...
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07/02/2019
A hybrid algorithm framework for small quantum computers with application to finding Hamiltonian cycles
Recent works have shown that quantum computers can polynomially speed up...
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12/20/2018
Optimizing Quantum Error Correction Codes with Reinforcement Learning
Quantum error correction is widely thought to be the key to fault-tolera...
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07/24/2018
Computational speedups using small quantum devices
Suppose we have a small quantum computer with only M qubits. Can such a ...
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04/01/2018
A note on state preparation for quantum machine learning
The intersection between the fields of machine learning and quantum info...
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10/30/2017
Super-polynomial and exponential improvements for quantum-enhanced reinforcement learning
Recent work on quantum machine learning has demonstrated that quantum co...
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09/08/2017
Machine learning & artificial intelligence in the quantum domain
Quantum information technologies, and intelligent learning systems, are ...
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09/05/2017
Speeding-up the decision making of a learning agent using an ion trap quantum processor
We report a proof-of-principle experimental demonstration of the quantum...
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06/02/2017
Active learning machine learns to create new quantum experiments
How useful can machine learning be in a quantum laboratory? Here we rais...
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10/26/2016
Quantum-enhanced machine learning
The emerging field of quantum machine learning has the potential to subs...
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02/25/2016
Meta-learning within Projective Simulation
Learning models of artificial intelligence can nowadays perform very wel...
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07/30/2015
Framework for learning agents in quantum environments
In this paper we provide a broad framework for describing learning agent...
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04/09/2015
Projective simulation with generalization
The ability to generalize is an important feature of any intelligent age...
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03/04/2015
