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Found 4 papers, 1 papers with code
SLIQ: Quantum Image Similarity Networks on Noisy Quantum Computers
Exploration into quantum machine learning has grown tremendously in recent years due to the ability of quantum computers to speed up classical programs.
QUILT: Effective Multi-Class Classification on Quantum Computers Using an Ensemble of Diverse Quantum Classifiers
Quantum computers can theoretically have significant acceleration over classical computers; but, the near-future era of quantum computing is limited due to small number of qubits that are also error prone.
MosaiQ: Quantum Generative Adversarial Networks for Image Generation on NISQ Computers
Quantum machine learning and vision have come to the fore recently, with hardware advances enabling rapid advancement in the capabilities of quantum machines.
RIBBON: Cost-Effective and QoS-Aware Deep Learning Model Inference using a Diverse Pool of Cloud Computing Instances
Deep learning model inference is a key service in many businesses and scientific discovery processes.
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