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Superconduct.Lab
package for rapidly designing superconducting experiments, including the scan or normal experiments; it also provides the interface Superconduct.Lab.LabSpace
to access the data service, Superconduct.Lab.Runner
to connect the experiment devices or simulator.Utils.ControlGate
module to define the composition of the logic gate and the corresponding control pulses.Utils.WaveFunction
module to define the preset waveform functions.Simulator.SimulatorAgent
module to define the agent served for Quanlse Simulator, it provides quick access to all data and functions of Quanlse Simulator; it is based on the Superconduct.Lab
package.Utils.Functions.subspaceVec()
function to extract a population vector in a subspace.QOperator.chXY()
, QOperator.chX()
, QOperator.chY()
, QOperator.chZ()
, QOperator.chRO()
which has no matrix definition in QOperator
module.TrappedIon.Optimizer.OptimizerIon
module to calculate robust laser sequenceTrappedIon.Optimizer.QIonEvolution
module to define basic evolution function of trapped ion systemTrappedIon.QIonSystem
module to define basic class of robust control laser and trapped ion Chip property.TrappedIon.QIonTrajectory
module to define the phonon trajectory evolution and visualize the ion-ion coupling.QWaveform
, add dump2Dict()
, dump2Json()
and parseJson()
methods to fully support JSON serialization and deserialization; QWaveform.addWave()
method now is also supported to pass string-formatted waveform function name to argument f
to call the preset waveforms.Superconduct
package, and move the Calibration/Simulator packages into Superconduct
.PulseModel
simulator;ODESolver
modules, including adaptive ODE solver and Numba
accelerator support;QWaveform.delay()
for inserting time delay and QWaveform.virtualZ()
for virtual-Z phase shift;QWaveform.appendWave()
function, simplify the usage for adding the waves to the Hamiltonian;QWaveform.setLO()
function for local oscillator frequency setting;freq
/phase
/phase0
parameters for QWaveform
objects;PulseModel.Simulate()
method;QHamiltonian.simulate()
, now support the state population return.Plot.plotScheduler()
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