activity
20192026
most citedFramework for Learning and Control in the Classical and Quantum Domains

6 citations · 13 across the 4 of their papers we have counts for

collaborators

5 papers

quant-ph2026

Closed-loop control for two-qubit gates with trapped ions

Eduardo J. Páez, Seyed Shakib Vedaie, Barry C. Sanders

State-of-the-art two-qubit gates with trapped ions employ open-loop control that rely on simplified models to precompute control sequences. Our aim is to introduce closed-loop cont…

quant-ph2023★ 6 cited

Framework for Learning and Control in the Classical and Quantum Domains

Seyed Shakib Vedaie, Archismita Dalal, Eduardo J. Páez +1

Control and learning are key to technological advancement, both in the classical and quantum domains, yet their interrelationship is insufficiently clear in the literature, especia…

quant-ph2022★ 6 cited

Bespoke Pulse Design for Robust Rapid Two-Qubit Gates with Trapped Ions

Seyed Shakib Vedaie, Eduardo J. Páez, Nhung H. Nguyen +2

Two-qubit gate performance is vital for scaling up ion-trap quantum computing. Optimized quantum control is needed to achieve reductions in gate-time and gate error-rate. We descri…

quant-ph2020★ 1 cited

Quantum Multiple Kernel Learning

Seyed Shakib Vedaie, Moslem Noori, Jaspreet S. Oberoi +2

Kernel methods play an important role in machine learning applications due to their conceptual simplicity and superior performance on numerous machine learning tasks. Expressivity…

quant-ph2019

Adiabatic Quantum Kitchen Sinks for Learning Kernels Using Randomized Features

Moslem Noori, Seyed Shakib Vedaie, Inderpreet Singh +4

Quantum information processing is likely to have far-reaching impact in the field of artificial intelligence. While the race to build an error-corrected quantum computer is ongoing…