56 citations · 136 across the 8 of their papers we have counts for
3 papers · 1 filter
Generalization despite overfitting in quantum machine learning models
Evan Peters, Maria Schuld
The widespread success of deep neural networks has revealed a surprise in classical machine learning: very complex models often generalize well while simultaneously overfitting tra…
Bandwidth Enables Generalization in Quantum Kernel Models
Abdulkadir Canatar, Evan Peters, Cengiz Pehlevan +2
Quantum computers are known to provide speedups over classical state-of-the-art machine learning methods in some specialized settings. For example, quantum kernel methods have been…
Qubit assignment using time reversal
Evan Peters, Prasanth Shyamsundar, Andy C. Y. Li +1
As the number of qubits available on noisy quantum computers grows, it will become necessary to efficiently select a subset of physical qubits to use in a quantum computation. For…