An open-system quantum simulator with trapped ions

By J. Barreiro, Markus P. Müller, Philipp Schindler, Daniel Nigg, Thomas Monz, M. Chwalla, M. Hennrich, C. F. Roos, Peter Zoller, Rainer Blatt. Nature, 2011

960 citations recorded by the source corpus.

The control of quantum systems is of fundamental scientific interest and promises powerful applications and technologies. Impressive progress has been achieved in isolating quantum systems from the environment and coherently controlling their dynamics, as demonstrated by the creation and manipulation of entanglement in various physical systems. However, for open quantum systems, engineering the dynamics of many particles by a controlled coupling to an environment remains largely unexplored. Here we realize an experimental toolbox for simulating an open quantum system with up to five quantum bits (qubits). Using a quantum computing architecture with trapped ions, we combine multi-qubit gates with optical pumping to implement coherent operations and dissipative processes. We illustrate our ability to engineer the open-system dynamics through the dissipative preparation of entangled states, the simulation of coherent many-body spin interactions, and the quantum non-demolition measurement of multi-qubit observables. By adding controlled dissipation to coherent operations, this work offers novel prospects for open-system quantum simulation and computation.

Subfields: Artificial Intelligence

View Paper: https://www.semanticscholar.org/paper/10187ed1862f6232fd43a3079388b507898031ab

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

Citations in the corpus

Quantum Simulation (2013, background): “A recent experiment with trapped ions demonstrated the possibility of engineering open-system dynamics using the dissipative preparation of entangled states (Barreiro et al., 2011).”
Do We Really Understand Quantum Mechanics? (2012, background): “Many other examples of reservoir engineering have been proposed since; see for instance [352–355] and [356] for an example of experimental realization with trapped ions.”
Shortcuts to Adiabaticity (2012, background): “Following del Campo et al. (2012), the transitionless quantum driving can be extended as well to many-body quantum critical systems, exploiting recent advances in the simulation of coherent k-body interactions (Müller et al., 2011; Barreiro et al., 2011).”
High‐Dimensional Quantum Communication: Benefits, Progress, and Future Challenges (2019, background): “in quantum computing [1–5], communication [6–9] and simulation [10–14].”
Topological dissipation in a time-multiplexed photonic resonator network (2021, positive): “Such ‘dissipation engineer-ing’ plays an important role in superconducting circuits, ultracold atoms and photonics, where it is used for reservoir engineering 9 , laser mode-locking 10,11 , and quantum and photonic computing 12–14 .”
Quantum error correction for quantum memories (2013, positive): “Four-qubit stabilizer pumping has been realized in ion-trap qubits (Barreiro et al. , 2011).”
Practical quantum advantage in quantum simulation (2022, background): “30,31 ), to systems with topological properties 32,33 , and dynamics in spin systems with both short-range 34,35 and long-range 36–38 interactions.”