6 papers
Structured Parameterization and Non-Stabilizerness in Hypergraph QAOA
Evan Camilleri, André Xuereb, Tony J. G. Apollaro +1
The quantum approximate optimization algorithm (QAOA) has emerged as a promising candidate for demonstrating quantum advantage on noisy intermediate-scale quantum (NISQ) devices. W…
Variational Gibbs State Preparation on Trapped-Ion Devices
Reece Robertson, Mirko Consiglio, Josey Stevens +3
We implement a variational quantum algorithm for Gibbs state preparation of a transverse-field Ising model on IonQ's quantum computers. To this end, we train the variational parame…
Achieving fast and robust perfect entangling gates via reinforcement learning
Leander Grech, Matthias G. Krauss, Mirko Consiglio +4
Noisy intermediate-scale quantum computers hold the promise of tackling complex and otherwise intractable computational challenges through the massive parallelism offered by qubits…
Detecting quasi-degenerate ground states in topological models via variational quantum eigensolver
Carola Ciaramelletti, Martin Beseda, Mirko Consiglio +3
We study the exact ground states of the Su--Schrieffer--Heeger open chain and of the Kitaev open chain, using the Variational Quantum Eigensolver (VQE) algorithm. These models host…
Variational Quantum Algorithms for Many-Body Systems
Mirko Consiglio
Variational quantum algorithms (VQAs) incorporate hybrid quantum-classical computation aimed at harnessing the power of noisy intermediate-scale quantum (NISQ) computers to solve c…
Long-distance genuine multipartite Entanglement between Magnetic Defects in Spin Chains
Mirko Consiglio, Jovan OdaviÄ, Riccarda Bonsignori +5
We investigate the emergence and properties of long-distance genuine multipartite entanglement, induced via three localized magnetic defects, in a one-dimensional transverse-field…