Pulser: An open-source package for the design of pulse sequences in programmable neutral-atom arrays

@article{Silverio2022PulserAO,
  title={Pulser: An open-source package for the design of pulse sequences in programmable neutral-atom arrays},
  author={Henrique Silv'erio and Sebastian Grijalva and Constantin Dalyac and Lucas Leclerc and Peter J. Karalekas and Nathan Shammah and Mourad Beji and Louis-Paul Henry and Loic Henriet},
  journal={Quantum},
  year={2022},
  volume={6},
  pages={629}
}
Programmable arrays of hundreds of Rydberg atoms have recently enabled the exploration of remarkable phenomena in many-body quantum physics. In addition, the development of high-fidelity quantum gates are making them promising architectures for the implementation of quantum circuits.We present here Pulser, an open-source Python library for programming neutral-atom devices at the pulse level. The low-level nature of Pulser makes it a versatile framework for quantum control both in the digital… 

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References

SHOWING 1-10 OF 59 REFERENCES

Qiskit pulse: programming quantum computers through the cloud with pulses

TLDR
Qiskit Pulse, a pulse-level programming paradigm implemented as a module within Qiskit-Terra, allows users to explore advanced control schemes such as optimal control theory, dynamical decoupling, and error mitigation that are not available within the circuit model.

High-Fidelity Control and Entanglement of Rydberg-Atom Qubits.

Individual neutral atoms excited to Rydberg states are a promising platform for quantum simulation and quantum information processing. However, experimental progress to date has been limited by short

Quantum computing with neutral atoms

TLDR
The main characteristics of neutral atom quantum processors from atoms / qubits to application interfaces are reviewed, and a classification of a wide variety of tasks that can already be addressed in a computationally efficient manner in the Noisy Intermediate Scale Quantum era is proposed.

Parallel Implementation of High-Fidelity Multiqubit Gates with Neutral Atoms.

TLDR
The controlled-phase gate is realized, enacted by a novel, fast protocol involving only global coupling of two qubits to Rydberg states, and a proof-of-principle implementation of the three-qubit Toffoli gate, in which two control atoms simultaneously constrain the behavior of one target atom.

Quantum simulation and computing with Rydberg-interacting qubits

Arrays of optically trapped atoms excited to Rydberg states have recently emerged as a competitive physical platform for quantum simulation and computing, where high-fidelity state preparation and

Many-body physics with individually controlled Rydberg atoms

Recent decades have witnessed great developments in the field of quantum simulation—where synthetic systems are built and studied to gain insight into complicated, many-body real-world problems.

Pulse-level noisy quantum circuits with QuTiP

TLDR
This paper addresses the pulse-level simulation of noisy quantum circuits with the Quantum Toolbox in Python (QuTiP), and introduces new tools in qutip-qip, QuTiP's quantum information processing package, that simulate quantum circuits at the pulse level, leveraging qubits, quantum dynamics solvers and control optimization features.

Quantum phases of matter on a 256-atom programmable quantum simulator.

TLDR
This work demonstrates a programmable quantum simulator based on deterministically prepared two-dimensional arrays of neutral atoms, featuring strong interactions controlled by coherent atomic excitation into Rydberg states, and realizes a quantum spin model with tunable interactions for system sizes ranging from 64 to 256 qubits.

Integrated Tool Set for Control, Calibration, and Characterization of Quantum Devices Applied to Superconducting Qubits

TLDR
A methodology to combine these tools to find a quantitatively accurate system model, high-fidelity gates and an approximate error budget, all based on a high-performance, feature-rich simulator are presented.
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