Universal Set of Quantum Gates for Double-Dot Exchange-Only Spin Qubits Under Realistic Conditions

ORAL

Abstract

We report on a universal set of quantum logic gates for hybrid qubits. In a hybrid qubit the information is encoded in the spin state of three electrons elettrostatically confined in a silicon double quantum dot (QD), in (2,1) filling [1]. All electrical operations, reduced fabrication complexity and high scalability are the strengths of this technology. Schrieffer-Wolff effective models for both one [2] and two coupled hybrid qubit [3] are developed including the inescapable exchange interaction between electrons in the same QD. Optimal sequences of exchange interactions creating a complete set of quantum operations, namely Hadamard, $\pi$/8 and CNOT gates [4], are obtained by using a search algorithm, based on simplex and genetic ones. Silicon devices have been designed by SDFT-based program and efforts in its fabrication have produced in-plane inter-QDs distances down to 100 nm by means of electron beam lithography. Double QDs devices operating in few electron filling regime have been preliminary characterized at 4.2 K. Ref: [1] T.S. Koh et al., PRL 109, 250503 (2012) [2] E. Ferraro et al., quant-ph/arXiv, 1304.1800 (2013) [3] In preparation [4] M. De Michielis et al., submitted (2013)

Authors

  • Marco De Michielis

    • Laboratorio MDM, IMM-CNR, Via Olivetti 2, I-20864 Agrate Brianza, Italy
  • Elena Ferraro

    • Laboratorio MDM, IMM-CNR, Via Olivetti 2, I-20864 Agrate Brianza, Italy
  • Davide Rotta

    • Laboratorio MDM, IMM-CNR, Via Olivetti 2, I-20864 Agrate Brianza, Italy
  • Giovanni Mazzeo

    • Laboratorio MDM, IMM-CNR, Via Olivetti 2, I-20864 Agrate Brianza, Italy
  • Marco Tagliaferri

    • Laboratorio MDM, IMM-CNR, Via Olivetti 2, I-20864 Agrate Brianza, Italy
  • Alessandro Crippa

    • Laboratorio MDM, IMM-CNR, Via Olivetti 2, I-20864 Agrate Brianza, Italy
  • Marco Fanciulli

    • Laboratorio MDM, IMM-CNR, Via Olivetti 2, I-20864 Agrate Brianza, Italy
  • Enrico Prati

    • IFN-CNR, P.zza L. da Vinci 32, I-20133 Milano, Italy