Goals and opportunities in quantum simulation

By J. I. Cirac, Peter Zoller. Nature Physics, 2012

851 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/3c355e8c2bee4d2a4d2506105dd138e5fc63c90c

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Citations in the corpus

Entanglement certification from theory to experiment (2018, background): “[44] Juan Ignacio Cirac and Peter Zoller, “Goals and opportunities in quantum simulation,” Nat.”
Quantum technology for military applications (2021, background): “To explain in greater detail, the room-temperature superconductivity material, for example, exploits superconductivity at high temperatures [285].”
Entanglement growth in quench dynamics with variable range interactions (2013, background): “Demonstration of large entanglement growth after a quantum quench would be a crucial step in demonstrating the possibility to use these systems as controllable quantum simulators, effectively using experimental systems to compute dynamics in a way that exceeds the capabilities of classical computati”
Quantum computing with atomic qubits and Rydberg interactions: progress and challenges (2016, methodology): “Neutral atoms are being intensively developed for studies of quantum simulation[14, 15, 16] and computation[17].”
Subwavelength vacuum lattices and atom–atom interactions in two-dimensional photonic crystals (2014, methodology): “Here hβ = (Ωl/(2Δβ))(2), with l = 1(2) for β = z(xy).”
Efficient Variational Quantum Simulator Incorporating Active Error Minimization (2016, background): “However, there are still many problems that cannot be solved using these powerful classical methods, so it is hoped that quantum computers can extend their reach [18,19,32].”
Engineered Open Systems and Quantum Simulations with Atoms and Ions (2012, background): “…recent reviews on quantum manybody physics, quantum simulation and computation with quantum optical systems (Jané et al., 2003; Ladd et al., 2010; Cirac and Zoller, 2012) involving atoms (Dalibard et al., 2011; Bloch et al., 2008; Lewenstein et al., 2006; Baranov et al., 2012; Bloch et al.,…”
Lattice gauge theory simulations in the quantum information era (2016, background): “) [17] are now able to perform quantum simulations of several interesting many-body phenomena [18,19].”
Quantum Chemistry Calculations on a Trapped-Ion Quantum Simulator (2018, background): “Experimentally pioneered at the turn of the millennium by nuclear magnetic resonance [8], neutral atom [9] and trapped-ion [10] systems, quantum simulation has attracted much attention over the last decade and might well hold the key to unlock significant advances in our understanding of many-body p”
Low-Disorder Microwave Cavity Lattices for Quantum Simulation with Photons (2012, methodology): “Given the diversity of quantum simulators, the listed criteria address analogue quantum simulators with the focus of simulating quantum many-body problems [17].”
Practical quantum advantage in quantum simulation (2022, methodology): “In an analogue quantum simulator 11 , the system is capable of implementing specific classes of models, and is engineered to implement a chosen model with well calibrated parameters.”