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Found 15 papers, 4 papers with code
Identifying topology of leaky photonic lattices with machine learning
We show how machine learning techniques can be applied for the classification of topological phases in leaky photonic lattices using limited measurement data.
Exponentially Improved Efficient and Accurate Machine Learning for Quantum Many-body States with Provable Guarantees
For a family of Hamiltonians defined on an $m$-dimensional space of physical parameters, the ground state and its properties at an arbitrary parameter configuration can be predicted via a machine learning protocol up to a prescribed prediction error $\varepsilon$, provided that a sample set (of size $N$) of the states can be efficiently prepared and measured.
Estimating the Euclidean quantum propagator with deep generative modeling of Feynman paths
Feynman path integrals provide an elegant, classically inspired representation for the quantum propagator and the quantum dynamics, through summing over a huge manifold of all possible paths.
Liouvillian spectral collapse in the Scully-Lamb laser model
Despite the nonequilibrium nature of the laser, the Landau theory of thermal phase transitions, applied directly to the Scully-Lamb laser model (SLLM), indicates that the laser threshold is a second-order phase transition, associated with a $U(1)$ spontaneous symmetry breaking (SSB).
Quantum Physics Statistical Mechanics
Purifying Deep Boltzmann Machines for Thermal Quantum States
We develop two cutting-edge approaches to construct deep neural networks representing the purified finite-temperature states of quantum many-body systems.
Strongly Correlated Electrons Disordered Systems and Neural Networks Statistical Mechanics Quantum Physics
Generating high-order quantum exceptional points in synthetic dimensions
Here, by considering the full quantum dynamics of a quadratic Liouvillian superoperator, we introduce a simple and effective method for engineering NHHs with high-order quantum EPs, derived from evolution matrices of system operators moments.
Quantum Physics
Phase-controlled pathway interferences and switchable fast-slow light in a cavity-magnon polariton system
We study the phase controlled transmission properties in a compound system consisting of a 3D copper cavity and an yttrium iron garnet (YIG) sphere.
Quantum Physics Applied Physics Optics
Dissipative state transfer and Maxwell's demon in single quantum trajectories: Excitation transfer between two noninteracting qubits via unbalanced dissipation rates
We introduce a protocol to transfer excitations between two noninteracting qubits via purely dissipative processes (i. e., in the Lindblad master equation there is no coherent interaction between the qubits).
Quantum Physics
Searching for exceptional points and inspecting non-contractivity of trace distance in (anti-)$\mathcal{PT}\!-$symmetric systems
Non-Hermitian systems with parity-time ($\mathcal{PT}$) symmetry and anti-$\mathcal{PT}$ symmetry give rise to exceptional points (EPs) with intriguing properties related to, e. g., chiral transport and enhanced sensitivity, due to the coalescence of eigenvectors.
Quantum Physics
Classification and reconstruction of optical quantum states with deep neural networks
For pure states with additive or convolutional Gaussian noise, the QST-CGAN is able to adapt to the noise and reconstruct the underlying state.
Shortcuts to Adiabaticity for the Quantum Rabi Model: Efficient Generation of Giant Entangled Cat States via Parametric Amplification
We propose a method for the fast generation of nonclassical ground states of the Rabi model in the ultrastrong and deep-strong coupling regimes via the shortcuts-to-adiabatic (STA) dynamics.
Quantum Physics
Quantum State Tomography with Conditional Generative Adversarial Networks
We augment a CGAN with custom neural-network layers that enable conversion of output from any standard neural network into a physical density matrix.
TRK Sum Rule for Interacting Photons
The Thomas-Reiche-Kuhn sum rule is a fundamental consequence of the position-momentum commutation relation for an atomic electron and it provides an important constraint on the transition matrix elements for an atom.
Quantum Physics
Virtual excitations in the ultra-strongly-coupled spin-boson model: physical results from unphysical modes
Here we show how, in the ultra-strongly-coupled spin-boson model, apparently unphysical "Matsubara modes" are required not only to regulate detailed balance, but also to arrive at a correct and physical description of the non-perturbative dynamics and steady-state.
Quantum Physics
Open quantum systems with local and collective incoherent processes: Efficient numerical simulation using permutational invariance
Assessing the robustness of collective effects against local dissipation is paramount to predict their presence in different physical implementations.
Quantum Physics
