Skip to Main Content (Press Enter)

Logo CNR
  • ×
  • Home
  • Persone
  • Pubblicazioni
  • Strutture
  • Competenze

UNI-FIND
Logo CNR

|

UNI-FIND

cnr.it
  • ×
  • Home
  • Persone
  • Pubblicazioni
  • Strutture
  • Competenze
  1. Pubblicazioni

Effective Hamiltonian for two interacting double-dot exchange-only qubits and their controlled-NOT operations

Articolo
Data di Pubblicazione:
2015
Abstract:
Double-dot exchange-only qubit represents a promising compromise between high speed and simple fabrication in solid-state implementations. A couple of interacting double-dot exchange-only qubits, each composed by three electrons distributed in a double quantum dot, is exploited to realize controlled-NOT (CNOT) operations. The effective Hamiltonian model of the composite system is expressed by only exchange interactions between pairs of spins. Consequently, the evolution operator has a simple form and represents the starting point for the research of sequences of operations that realize CNOT gates. Two different geometrical configurations of the pair are considered, and a numerical mixed simplex and genetic algorithm is used. We compare the nonphysical case in which all the interactions are controllable from the external and the realistic condition in which intra-dot interactions are fixed by the geometry of the system. In the latter case, we find the CNOT sequences for both the geometrical configurations and we considered a qubit system where electrons are electrostatically confined in two quantum dots in a silicon nanowire. The effects of the geometrical sizes of the nanowire and of the gates on the fundamental parameters controlling the qubit are studied by exploiting a spin-density-functional theory-based simulator. Consequently, CNOT gate performances are evaluated.
Tipologia CRIS:
01.01 Articolo in rivista
Keywords:
Quantum computation architectures and implementations; Quantum dots; Silicon devices
Elenco autori:
DE MICHIELIS, Marco; Prati, Enrico; Ferraro, Elena
Autori di Ateneo:
DE MICHIELIS MARCO
FERRARO ELENA
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/279366
Pubblicato in:
QUANTUM INFORMATION PROCESSING
Journal
  • Dati Generali

Dati Generali

URL

http://www.scopus.com/record/display.url?eid=2-s2.0-84920600075&origin=inward
  • Utilizzo dei cookie

Realizzato con VIVO | Designed by Cineca | 26.5.0.0 | Sorgente dati: PREPROD (Ribaltamento disabilitato)