Quantum simulations with ultracold atoms in optical lattices

By C. Gross, I. Bloch. Science, 2017

1,328 citations recorded by the source corpus.

Subfields: Atomic and Molecular Physics, and Optics, Condensed Matter Physics

View Paper: https://www.semanticscholar.org/paper/cd70ecebe2fd7efe251b3eb6ce23ab436db2d03c

How researchers see this paper

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

In Atomic and Molecular Physics, and Optics

1. Peter Zoller
2. A. Nahum
3. Andrew J. Daley
4. John Preskill
5. V. Khemani
6. Nathan Goldman
7. Matthew Fisher
8. Alán Aspuru-Guzik

In Condensed Matter Physics

1. Matthew Fisher
2. V. Khemani
3. A. Nahum
4. I. Bloch
5. Peter Zoller
6. S. Vijay
7. Andrew J. Daley
8. S. Flannigan

Citations in the corpus

• Floquet approach to ℤ2 lattice gauge theories with ultracold atoms in optical lattices (2019, background): “[16] Christian Gross and Immanuel Bloch, “Quantum simulations with ultracold atoms in optical lattices,” Science 357, 995–1001 (2017).”
• Microwave-engineering of programmable XXZ Hamiltonians in arrays of Rydberg atoms (2021, methodology): “These systems naturally implement particular instances of many-body Hamiltonians, such as those describing the interactions between spins or the Bose- and Fermi-Hubbard Hamiltonians [7].”
• An Atomic-Array Optical Clock with Single-Atom Readout (2019, background): “[11] Christian Gross and Immanuel Bloch, “Quantum simulations with ultracold atoms in optical lattices,” Science 357, 995–1001 (2017).”
• On scientific understanding with artificial intelligence (2022, background): “Furthermore, the recent progress in experimental quantum computing for quantum chemistry [31] and physics[32–34] promises that entirely new algorithms, based on quantum mechanics itself, will play an important role in this area [35, 36].”
• Practical quantum advantage in quantum simulation (2022, methodology): “This can also be combined for spin systems with operations from digital quantum computing, leading to a range of possible programmable quantum simulators 2,21,26,39 , which combine analogue elements with programmability.”
• Random Quantum Circuits (2022, background): “Analog quantum simulators, such as ultracold atom platforms (28, 29, 30), arrays of atoms with long-range interactions which are tuned by exciting into Rydberg states (31), and trapped atomic ions (32, 33) exert control over constituent degrees of freedom by tuning the Hamiltonian governing their in”