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Showing 1 to 3 of 3 for “"Quantum Kernels"”.

  1. Approximating a wavelet kernel using a quantum computer

    Machine learning and quantum computing are both fields which have gained a significant amount of popularity and attention in recent years. The intersection of these two fields, quantum machine learning, looks at whether quantum computers can aid or improve classical machine learning methods, or …

    cape-town Repository record for Approximating a wavelet kernel using a quantum computer (opens in a new tab)

  2. Evaluating Hybrid Quantum-Classical Models for Image Classification in the NISQ Era

    … presents a systematic empirical evaluation of quantum machine learning performance under noisy intermediate-scale quantum (NISQ) era constraints. Through 670 controlled experiments, it evaluated quantum kernel support vector machines and variational quantum classifiers against classical …

    columbus-state Repository record for Evaluating Hybrid Quantum-Classical Models for Image Classification in the NISQ Era (opens in a new tab)

  3. Investigating Topological Quantum Matter: Machine Learning Topological Phases, Topological Quantum Codes, Interplay of Disorder and Topology via Transport Phenomena and Phase Transitions

    Future quantum technologies must meet three inter-locking demands: (i) faithful yet compact representations of strongly–entangled quantum matter, (ii) scalable error-mitigation protocols that tame spatially correlated noise, and (iii) near-term algorithms that coax useful optimisation and learning …

    cambridge Repository record for Investigating Topological Quantum Matter: Machine Learning Topological Phases, Topological Quantum Codes, Interplay of Disorder and Topology via Transport Phenomena and Phase Transitions (opens in a new tab)