2 citations · 2 across the 6 of their papers we have counts for
4 papers · 1 filter
Inverse Physics-informed neural networks procedure for detecting noise in open quantum systems
Gubio G. de Lima, Iann Cunha, Leonardo Kleber Castelano
Accurate characterization of quantum systems is essential for the development of quantum technologies, particularly in the noisy intermediate-scale quantum (NISQ) era. While tradit…
Designing Majorana Quasiparticles in InAsP Quantum Dots in InP Nanowires with Variational Quantum Eigenvalue Solver
Mahan Mohseni, Iann Cunha, Daniel Miravet +5
This work presents steps toward the design of Majorana zero modes (MZM) in InAsP quantum dots (QD) embedded in an InP semiconducting nanowire in contact with a p-type superconducto…
Physics informed neural networks learning a two-qubit Hamiltonian
Leonardo K. Castelano, Iann Cunha, Fabricio S. Luiz +2
Machine learning techniques are employed to perform the full characterization of a quantum system. The particular artificial intelligence technique used to learn the Hamiltonian is…
Influence of errors on the transport of quantum information through distant quantum dot spin qubits
Iann Cunha, Leonardo Kleber Castelano
The ability to connect distant qubits plays a fundamental role in quantum computing. Therefore, quantum systems candidates for quantum computation must be able to interact all thei…