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Found 5 papers, 1 papers with code
Quantum Embedding with Transformer for High-dimensional Data
Quantum embedding with transformers is a novel and promising architecture for quantum machine learning to deliver exceptional capability on near-term devices or simulators.
Hybrid Quantum Neural Network in High-dimensional Data Classification
The research explores the potential of quantum deep learning models to address challenging machine learning problems that classical deep learning models find difficult to tackle.
Deep-Q Learning with Hybrid Quantum Neural Network on Solving Maze Problems
This study uses a trainable variational quantum circuit (VQC) on a gate-based quantum computing model to investigate the potential for quantum benefit in a model-free reinforcement learning problem.
Phase Analysis on the Error Scaling of Entangled Qubits in a 53-Qubit System
The phase trajectory of an entangled evolution, and the impact of the sudden death of GHZ-like states and the revival of newly excited states are analyzed in details.
Quantum Physics
Mermin's Inequalities of Multiple qubits with Orthogonal Measurements on IBM Q 53-qubit system
Entanglement properties of IBM Q 53 qubit quantum computer are carefully examined with the noisy intermediate-scale quantum (NISQ) technology.
Quantum Physics Data Analysis, Statistics and Probability
