research
∙
09/18/2023
Des-q: a quantum algorithm to construct and efficiently retrain decision trees for regression and binary classification
Decision trees are widely used in machine learning due to their simplici...
share
research
∙
09/09/2023
Fast Simulation of High-Depth QAOA Circuits
Until high-fidelity quantum computers with a large number of qubits beco...
research
∙
03/29/2023
Quantum Deep Hedging
Quantum machine learning has the potential for a transformative impact a...
research
∙
11/29/2022
Numerical evidence against advantage with quantum fidelity kernels on classical data
Quantum machine learning techniques are commonly considered one of the m...
research
∙
10/18/2022
MaSS: Multi-attribute Selective Suppression
The recent rapid advances in machine learning technologies largely depen...
research
∙
02/15/2022
Paving the Way towards 800 Gbps Quantum-Secured Optical Channel Deployment in Mission-Critical Environments
This article describes experimental research studies conducted towards u...
research
∙
09/09/2021
Quantum Machine Learning for Finance
Quantum computers are expected to surpass the computational capabilities...
research
∙
08/06/2021
On the Exponential Sample Complexity of the Quantum State Sign Estimation Problem
We demonstrate that the ability to estimate the relative sign of an arbi...
research
∙
12/02/2019
More Is Less: Learning Efficient Video Representations by Big-Little Network and Depthwise Temporal Aggregation
Current state-of-the-art models for video action recognition are mostly ...
research
∙
10/21/2019
A Domain-agnostic, Noise-resistant, Hardware-efficient Evolutionary Variational Quantum Eigensolver
Variational quantum algorithms have shown promise in numerous fields due...
research
∙
10/21/2019
A Domain-agnostic, Noise-resistant Evolutionary Variational Quantum Eigensolver for Hardware-efficient Optimization in the Hilbert Space
Variational quantum algorithms have shown promise in numerous fields due...
research
∙
08/07/2018
