3 citations · 6 across the 4 of their papers we have counts for
5 papers
A General Framework for Gradient-Based Optimization of Superconducting Quantum Circuits using Qubit Discovery as a Case Study
Taha Rajabzadeh, Alex Boulton-McKeehan, Sam Bonkowsky +2
Engineering the Hamiltonian of a quantum system is fundamental to the design of quantum systems. Automating Hamiltonian design through gradient-based optimization can dramatically…
Controlling the Latent Space of GANs through Reinforcement Learning: A Case Study on Task-based Image-to-Image Translation
Mahyar Abbasian, Taha Rajabzadeh, Ahmadreza Moradipari +3
Generative Adversarial Networks (GAN) have emerged as a formidable AI tool to generate realistic outputs based on training datasets. However, the challenge of exerting control over…
Multi-Environment Meta-Learning in Stochastic Linear Bandits
Ahmadreza Moradipari, Mohammad Ghavamzadeh, Taha Rajabzadeh +2
In this work we investigate meta-learning (or learning-to-learn) approaches in multi-task linear stochastic bandit problems that can originate from multiple environments. Inspired…
Automated discovery of autonomous quantum error correction schemes
Zhaoyou Wang, Taha Rajabzadeh, Nathan Lee +1
We can encode a qubit in the energy levels of a quantum system. Relaxation and other dissipation processes lead to decay of the fidelity of this stored information. Is it possible…
Femtosecond CDMA Using Dielectric Metasurfaces: Design Procedure and Challenges
Taha Rajabzadeh, Mohammad Hosein Mousavi, Sajjad Abdollahramezani +2
Inspired by the ever-increasing demand for higher data transmission rates and the tremendous attention toward all-optical signal processing based on miniaturized nanophotonics, in…