A two-qubit logic gate in silicon

By Menno Veldhorst, C. Yang, J. C. Hwang, W. Huang, Juan Pablo Dehollain, J. Muhonen, S. Simmons, A. Laucht, Fay Hudson, Kohei M. Itoh and 2 more. Nature, 2014

851 citations recorded by the source corpus.

Quantum computation requires qubits that can be coupled in a scalable manner, together with universal and high-fidelity one- and two-qubit logic gates. Many physical realizations of qubits exist, including single photons, trapped ions, superconducting circuits, single defects or atoms in diamond and silicon, and semiconductor quantum dots, with single-qubit fidelities that exceed the stringent thresholds required for fault-tolerant quantum computing. Despite this, high-fidelity two-qubit gates in the solid state that can be manufactured using standard lithographic techniques have so far been limited to superconducting qubits, owing to the difficulties of coupling qubits and dephasing in semiconductor systems. Here we present a two-qubit logic gate, which uses single spins in isotopically enriched silicon and is realized by performing single- and two-qubit operations in a quantum dot system using the exchange interaction, as envisaged in the Loss–DiVincenzo proposal. We realize CNOT gates via controlled-phase operations combined with single-qubit operations. Direct gate-voltage control provides single-qubit addressability, together with a switchable exchange interaction that is used in the two-qubit controlled-phase gate. By independently reading out both qubits, we measure clear anticorrelations in the two-spin probabilities of the CNOT gate.

Subfields: Artificial Intelligence, Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/76da89fa27e8b066604aff5d9014b6b3bbe226a9

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

  1. Lieven M. K. Vandersypen
  2. Daniel Loss
  3. Andrew Dzurak
  4. C. Yang
  5. H. Eenink
  6. P. Stano
  7. Juan Pablo Dehollain
  8. Menno Veldhorst

In Atomic and Molecular Physics, and Optics

  1. Lieven M. K. Vandersypen
  2. Daniel Loss
  3. Andrew Dzurak
  4. Menno Veldhorst
  5. C. Yang
  6. H. Eenink
  7. P. Stano
  8. Juan Pablo Dehollain

In Electrical and Electronic Engineering

  1. Andrew Dzurak
  2. Daniel Loss
  3. Menno Veldhorst
  4. Lieven M. K. Vandersypen
  5. P. Stano
  6. Roza Kotlyar

Citations in the corpus