A quantum information processor with trapped ions

By Philipp Schindler, Daniel Nigg, Thomas Monz, J. Barreiro, E. Martinez, Shannon X. Wang, Stephan Quint, M. F. Brandl, Volckmar Nebendahl, C. F. Roos and 3 more. 2013

320 citations recorded by the source corpus.

Quantum computers hold the promise to solve certain problems exponentially faster than their classical counterparts. Trapped atomic ions are among the physical systems in which building such a computing device seems viable. In this work we present a small-scale quantum information processor based on a string of 40Ca+ ions confined in a macroscopic linear Paul trap. We review our set of operations which includes non-coherent operations allowing us to realize arbitrary Markovian processes. In order to build a larger quantum information processor it is mandatory to reduce the error rate of the available operations which is only possible if the physics of the noise processes is well understood. We identify the dominant noise sources in our system and discuss their effects on different algorithms. Finally we demonstrate how our entire set of operations can be used to facilitate the implementation of algorithms by examples of the quantum Fourier transform and the quantum order finding algorithm.

Subfields: Artificial Intelligence, Atomic and Molecular Physics, and Optics

View Paper: https://www.semanticscholar.org/paper/b54f289c919ae48f4d418c7944f319b2ef1ebaf9

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In Artificial Intelligence

In Atomic and Molecular Physics, and Optics

Citations in the corpus

Midcircuit Operations Using the omg Architecture in Neutral Atom Arrays (2023, methodology): “In order to identify error sources and benchmark the fidelity of the MCM, we perform quantum process tomography [75,76,104,105].”
Quasiparticle engineering and entanglement propagation in a quantum many-body system (2014, background): “Arbitrary single ion rotations can be built up from operations combining single-ion ac-Stark shifts with global interactions resonantly coupling the states | ↓〉 and | ↑〉 [25].”
Efficient tomography of a quantum many-body system (2016, background): “The combination of the global resonant and the focused detuned beam enables arbitrary single-spin rotations [30].”
Real-time dynamics of lattice gauge theories with a few-qubit quantum computer (2016, methodology): “These are implemented by means of AC–Stark shifts, induced by laser pulses that are far red-detuned from the qubit transition [13, 27].”
A universal qudit quantum processor with trapped ions (2021, methodology): “Using auxiliary levels as a cache memory for quantum information has enabled the implementation of highly complex quantum algorithms [8] and dissipative processes [1], as well as improved decomposition of multi-qubit gates [6].”
A Survey on Quantum Channel Capacities (2018, background): “The appealing parallelism of quantum computing relying on quantum bits has inspired researchers to consider various quantum-related applications in the area of quantum communications [143], [263], [313], [314], [421], [457].”
Observation of entangled states of a fully-controlled 20 qubit system (2017, background): “That is, the computational basis states of the qubits are chosen as j0i 1⁄4 jSJ1⁄41=2;mj1⁄41=2i, j1i 1⁄4 jDJ1⁄45=2;mj1⁄45=2i, which are connected by an electric quadrupole transition at 729 nm [18].”
Quantum Chemistry Calculations on a Trapped-Ion Quantum Simulator (2018, methodology): “scopic decoupling [92] or sequence recompilation [106] to hardware solutions based on Raman gates [107].”