Search Results for author:
Found 6 papers, 0 papers with code
DeepQMLP: A Scalable Quantum-Classical Hybrid DeepNeural Network Architecture for Classification
In DeepQMLP, stacked shallow Quantum Neural Network (QNN) models mimic the hidden layers of a classical feed-forward multi-layer perceptron network.
Quantum-Classical Hybrid Machine Learning for Image Classification (ICCAD Special Session Paper)
We review two proposals on quantum-classical hybrid ML models for image classification namely, Quanvolutional Neural Network and dimension reduction using a classical algorithm followed by QNN.
Drug Discovery Approaches using Quantum Machine Learning
Traditional drug discovery pipeline takes several years and cost billions of dollars.
An Efficient Circuit Compilation Flow for Quantum Approximate Optimization Algorithm
This re-ordering leads to execution of more gates in parallel and a smaller number of additional gates to compile the QAOA circuit resulting in lower circuit depth and gate-count which is beneficial for circuit run-time and noise.
Accelerating Quantum Approximate Optimization Algorithm using Machine Learning
As a result, the optimization loop converges in a fewer number of iterations.
Analysis of Quantum Approximate Optimization Algorithm under Realistic Noise in Superconducting Qubits
In QAOA, the objective is a function of the quantum state, which itself is a function of the gate parameters of a multi-level parameterized quantum circuit (PQC).
Quantum Physics Emerging Technologies
