Cloud Quantum Computing of an Atomic Nucleus.

By Eugene F. Dumitrescu, A. McCaskey, Gaute Hagen, G. Jansen, Titus Morris, Thomas Papenbrock, Raphael C. Pooser, David J. Dean, Pavel Lougovski. Physical Review Letters, 2018

348 citations recorded by the source corpus.

We report a quantum simulation of the deuteron binding energy on quantum processors accessed via cloud servers. We use a Hamiltonian from pionless effective field theory at leading order. We design a low-depth version of the unitary coupled-cluster ansatz, use the variational quantum eigensolver algorithm, and compute the binding energy to within a few percent. Our work is the first step towards scalable nuclear structure computations on a quantum processor via the cloud, and it sheds light on how to map scientific computing applications onto nascent quantum devices.

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

View Paper: https://www.semanticscholar.org/paper/14e2b1a384da577f3e693a9018ebf39ce879fd17

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Citations in the corpus

Digital zero noise extrapolation for quantum error mitigation (2020, methodology): “Our digital framework incorporates and generalizes some recent related work [20], [21].”
A Guided Tour of ab initio Nuclear Many-Body Theory (2020, background): “Unitary CC wave functions have also become a popular ansatz for the Variational Quantum Eigensolver (VQE) algorithm on current and near-term quantum devices [108, 109].”
Barren plateaus in quantum neural network training landscapes (2018, methodology): “This algorithm has been successfully demonstrated on a number of experimental setups with extensions to excited states and other forms of incoherent error mitigation [2, 9, 12–16].”
Quantum circuits with many photons on a programmable nanophotonic chip (2021, neutral): “Starting from the left, the orbits are [1, 1, 1, 1, 1, 1], [2, 1, 1, 1, 1], [3, 1, 1, 1], [2, 2, 1, 1], [4, 1, 1], [3, 2, 1], [5, 1], [2, 2, 2], [4, 2], [3, 3], [6].”
Fundamental limits of quantum error mitigation (2021, background): “1 QQq1⁄41 QKk1⁄41 E EðkÞ q ðψÞ; EðkÞ q ðφÞ r : (8)”
Option Pricing using Quantum Computers (2019, methodology): “Here, we use a simplified error mitigation protocol that circumvents the need to recalibrate the gates but still allows us to increase the accuracy of the quantum hardware [49].”
Error mitigation extends the computational reach of a noisy quantum processor (2018, background): “This can be approximated by the insertion of noisy gates in the quantum circuit, but relies heavily on assumptions of the noise mechanisms at play [15].”
Variational quantum algorithms (2020, background): “This was first demonstrated for computing the deuteron (H) binding energy [239], and has been extended to other light nuclei such as the triton (H), He, and an alpha particle (He) [240].”
Quantum Chemistry Calculations on a Trapped-Ion Quantum Simulator (2018, background): “[65] E F Dumitrescu, A J McCaskey, G Hagen, G R Jansen, T D Morris, T Papenbrock, R C Pooser, D J Dean, and P Lougovski, “Cloud Quantum Computing of an Atomic Nucleus,” arXiv.”
Evidence for the utility of quantum computing before fault tolerance (2023, positive): “based on pulse stretching 9,17,18 or subcircuit repetition 20–22 have circum-vented the need for precise noise learning, while relying on simplistic assumptions about the device noise.”
Variational quantum algorithms for nonlinear problems (2019, background): “[27] E.”