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Found 5 papers, 3 papers with code
A Quantum Approach to Synthetic Minority Oversampling Technique (SMOTE)
The paper proposes the Quantum-SMOTE method, a novel solution that uses quantum computing techniques to solve the prevalent problem of class imbalance in machine learning datasets.
Quantum Geometric Machine Learning for Quantum Circuits and Control
Our results demonstrate how geometric control techniques can be used to both (a) verify the extent to which geometrically synthesised quantum circuits lie along geodesic, and thus time-optimal, routes and (b) synthesise those circuits.
Beyond Quantum Noise Spectroscopy: modelling and mitigating noise with quantum feature engineering
The ability to use quantum technology to achieve useful tasks, be they scientific or industry related, boils down to precise quantum control.
Quantum Physics
Modeling and Control of a Reconfigurable Photonic Circuit using Deep Learning
We use this neural network to solve a classical and a quantum control problem.
Quantum Physics
Accelerated Randomized Benchmarking
Here, we bound the resources required for benchmarking and show that, with prior information, we can achieve several orders of magnitude better accuracy than in traditional approaches to benchmarking.
Quantum Physics
