We investigate the physics of projected d-wave pairing states using their fermionic projected entangled pair state (fPEPS) representation.
Strongly Correlated Electrons Quantum Physics
Variational studies of the t-J model on the square lattice based on infinite projected-entangled pair states (iPEPS) confirm an extremely close competition between a uniform d-wave superconducting state and different stripe states.
Strongly Correlated Electrons Superconductivity
The method rests on a finite-difference approximation, followed by a sparsity-preserving transformation of the discrete elastic wave equation to a Schr\"{o}dinger equation, which can be simulated directly on a gate-based quantum computer.
Geophysics Quantum Physics
The reconstruction of charged particles will be a key computing challenge for the high-luminosity Large Hadron Collider (HL-LHC) where increased data rates lead to large increases in running time for current pattern recognition algorithms.
Quantum Physics
A quantum annealing solver for the renowned job-shop scheduling problem (JSP) is presented in detail.
Quantum Physics Optimization and Control
For a system described by a multivariate probability density function obeying the fluctuation theorem, the average dissipation is lower-bounded by the degree of asymmetry of the marginal distributions (namely the relative entropy between the marginal and its mirror image).
Statistical Mechanics
The D-wave processor is a partially controllable open quantum system which exchanges energy with its surrounding environment (in the form of heat) and with the external time dependent control fields (in the form of work).
Quantum Physics Statistical Mechanics
Recently the question of whether the D-Wave processors exhibit large-scale quantum behavior or can be described by a classical model has attracted significant interest.
Quantum Physics
Here we study the advanced wave picture for a structured pump beam and in the context of stimulated emission provoked by an auxiliary input laser beam.
Quantum Physics Optics
We examine and extend Sparse Grids as a discretization method for partial differential equations (PDEs).
Numerical Analysis Computational Physics
