38 research outputs found
Quantum networks with neutral atom processing nodes
Quantum networks providing shared entanglement over a mesh of quantum nodes
will revolutionize the field of quantum information science by offering novel
applications in quantum computation, enhanced precision in networks of sensors
and clocks, and efficient quantum communication over large distances. Recent
experimental progress with individual neutral atoms demonstrates a high
potential for implementing the crucial components of such networks. We
highlight latest developments and near-term prospects on how arrays of
individually controlled neutral atoms are suited for both efficient remote
entanglement generation and large-scale quantum information processing, thereby
providing the necessary features for sharing high-fidelity and error-corrected
multi-qubit entangled states between the nodes. We describe both the
functionality requirements and several examples for advanced, large-scale
quantum networks composed of neutral atom processing nodes.Comment: 10 pages, 5 figure
Control and coherence of the optical transition of single defect centers in diamond
We demonstrate coherent control of the optical transition of single
Nitrogen-Vacancy defect centers in diamond. On applying short resonant laser
pulses, we observe optical Rabi oscillations with a half-period as short as 1
nanosecond, an order of magnitude shorter than the spontaneous emission time.
By studying the decay of Rabi oscillations, we find that the decoherence is
dominated by laser-induced spectral jumps. By using a low-power probe pulse as
a detuning sensor and applying post-selection, we demonstrate that spectral
diffusion can be overcome in this system to generate coherent photons.Comment: 5 pages,4 figure
Probing many-body dynamics on a 51-atom quantum simulator
Controllable, coherent many-body systems can provide insights into the
fundamental properties of quantum matter, enable the realization of new quantum
phases and could ultimately lead to computational systems that outperform
existing computers based on classical approaches. Here we demonstrate a method
for creating controlled many-body quantum matter that combines
deterministically prepared, reconfigurable arrays of individually trapped cold
atoms with strong, coherent interactions enabled by excitation to Rydberg
states. We realize a programmable Ising-type quantum spin model with tunable
interactions and system sizes of up to 51 qubits. Within this model, we observe
phase transitions into spatially ordered states that break various discrete
symmetries, verify the high-fidelity preparation of these states and
investigate the dynamics across the phase transition in large arrays of atoms.
In particular, we observe robust manybody dynamics corresponding to persistent
oscillations of the order after a rapid quantum quench that results from a
sudden transition across the phase boundary. Our method provides a way of
exploring many-body phenomena on a programmable quantum simulator and could
enable realizations of new quantum algorithms.Comment: 17 pages, 13 figure
A Rydberg platform for non-ergodic chiral quantum dynamics
We propose a mechanism for engineering chiral interactions in Rydberg atoms
via a directional antiblockade condition, where an atom can change its state
only if an atom to its right (or left) is excited. The scalability of our
scheme enables us to explore the many-body dynamics of kinetically constrained
models with unidirectional character. We observe non-ergodic behavior via
either scars, confinement, or localization, upon simply tuning the strength of
two driving fields acting on the atoms. We discuss how our mechanism persists
in the presence of classical noise and how the degree of chirality in the
interactions can be tuned, providing paths for investigating a wide range of
models.Comment: 5+3 pages, 3+1 figure
Quantum Kibble-Zurek mechanism and critical dynamics on a programmable Rydberg simulator
Quantum phase transitions (QPTs) involve transformations between different
states of matter that are driven by quantum fluctuations. These fluctuations
play a dominant role in the quantum critical region surrounding the transition
point, where the dynamics are governed by the universal properties associated
with the QPT. While time-dependent phenomena associated with classical,
thermally driven phase transitions have been extensively studied in systems
ranging from the early universe to Bose Einstein Condensates, understanding
critical real-time dynamics in isolated, non-equilibrium quantum systems is an
outstanding challenge. Here, we use a Rydberg atom quantum simulator with
programmable interactions to study the quantum critical dynamics associated
with several distinct QPTs. By studying the growth of spatial correlations
while crossing the QPT, we experimentally verify the quantum Kibble-Zurek
mechanism (QKZM) for an Ising-type QPT, explore scaling universality, and
observe corrections beyond QKZM predictions. This approach is subsequently used
to measure the critical exponents associated with chiral clock models,
providing new insights into exotic systems that have not been understood
previously, and opening the door for precision studies of critical phenomena,
simulations of lattice gauge theories and applications to quantum optimization
Cold Matter Assembled Atom-by-Atom
The realization of large-scale fully controllable quantum systems is an
exciting frontier in modern physical science. We use atom-by-atom assembly to
implement a novel platform for the deterministic preparation of regular arrays
of individually controlled cold atoms. In our approach, a measurement and
feedback procedure eliminates the entropy associated with probabilistic trap
occupation and results in defect-free arrays of over 50 atoms in less than 400
ms. The technique is based on fast, real-time control of 100 optical tweezers,
which we use to arrange atoms in desired geometric patterns and to maintain
these configurations by replacing lost atoms with surplus atoms from a
reservoir. This bottom-up approach enables controlled engineering of scalable
many-body systems for quantum information processing, quantum simulations, and
precision measurements.Comment: 12 pages, 9 figures, 3 movies as ancillary file
Integrating Neural Networks with a Quantum Simulator for State Reconstruction
We demonstrate quantum many-body state reconstruction from experimental data
generated by a programmable quantum simulator, by means of a neural network
model incorporating known experimental errors. Specifically, we extract
restricted Boltzmann machine (RBM) wavefunctions from data produced by a
Rydberg quantum simulator with eight and nine atoms in a single measurement
basis, and apply a novel regularization technique to mitigate the effects of
measurement errors in the training data. Reconstructions of modest complexity
are able to capture one- and two-body observables not accessible to
experimentalists, as well as more sophisticated observables such as the R\'enyi
mutual information. Our results open the door to integration of machine
learning architectures with intermediate-scale quantum hardware.Comment: 15 pages, 13 figure