803 citations · 3.5k across the 244 of their papers we have counts for
7 papers · 2 filters
Online Convex Optimization of Programmable Quantum Computers to Simulate Time-Varying Quantum Channels
Hari Hara Suthan Chittoor, Osvaldo Simeone, Leonardo Banchi +1
Simulating quantum channels is a fundamental primitive in quantum computing, since quantum channels define general (trace-preserving) quantum operations. An arbitrary quantum chann…
Error Mitigation-Aided Optimization of Parameterized Quantum Circuits: Convergence Analysis
Sharu Theresa Jose, Osvaldo Simeone
Variational quantum algorithms (VQAs) offer the most promising path to obtaining quantum advantages via noisy intermediate-scale quantum (NISQ) processors. Such systems leverage cl…
An Introduction to Quantum Machine Learning for Engineers
Osvaldo Simeone
In the current noisy intermediate-scale quantum (NISQ) era, quantum machine learning is emerging as a dominant paradigm to program gate-based quantum computers. In quantum machine…
Learning Quantum Entanglement Distillation with Noisy Classical Communications
Hari Hara Suthan Chittoor, Osvaldo Simeone
Quantum networking relies on the management and exploitation of entanglement. Practical sources of entangled qubits are imperfect, producing mixed quantum state with reduced fideli…
Quantum-Aided Meta-Learning for Bayesian Binary Neural Networks via Born Machines
Ivana Nikoloska, Osvaldo Simeone
Near-term noisy intermediate-scale quantum circuits can efficiently implement implicit probabilistic models in discrete spaces, supporting distributions that are practically infeas…
Training Hybrid Classical-Quantum Classifiers via Stochastic Variational Optimization
Ivana Nikoloska, Osvaldo Simeone
Quantum machine learning has emerged as a potential practical application of near-term quantum devices. In this work, we study a two-layer hybrid classical-quantum classifier in wh…