class QPanda::QITE¶
Overview¶
Variational Quantum Imagine Time Evolution Algorithem Class. More…
#include <QITE.h> class QITE { public: // enums enum UpdateMode; // methods void setHamiltonian(const PauliOperator& h); void setAnsatzGate(const std::vector<AnsatzGate>& ansatz_gate); void setDeltaTau(double delta_tau); void setIterNum(size_t num); void setParaUpdateMode(UpdateMode mode); void setUpthrowNum(size_t num); void setConvergenceFactorQ(double value); void setQuantumMachineType(QMachineType type); void setLogFile(const std::string& filename); void setArbitaryCofficient(double arbitary_cofficient); int exec(); prob_tuple getResult(); };
Detailed Documentation¶
Variational Quantum Imagine Time Evolution Algorithem Class.
Methods¶
void setHamiltonian(const PauliOperator& h)
Set problem hamitonian.
Parameters:
const |
PauliOperator& problem hamiltoinan |
See also:
void setAnsatzGate(const std::vector<AnsatzGate>& ansatz_gate)
Set ansatz gate.
Parameters:
const |
std::vector<AnsatzGate>& ansatz gate vector |
See also:
AnsatzGate
void setDeltaTau(double delta_tau)
Set delta tau value.
Parameters:
double |
delta tau value |
void setIterNum(size_t num)
Set iteration number.
Parameters:
size_t |
iteration number |
void setParaUpdateMode(UpdateMode mode)
Set parameters update mode.
Parameters:
UpdateMode |
parameters update mode |
See also:
void setUpthrowNum(size_t num)
Set upthrow number.
Parameters:
size_t |
upthrow number |
void setConvergenceFactorQ(double value)
Set convergence factor Q.
Parameters:
size_t |
convergence factor Q |
void setQuantumMachineType(QMachineType type)
Set the quantum machine type.
Parameters:
QMachineType |
quantum machine type |
See also:
void setLogFile(const std::string& filename)
Set log file.
Parameters:
const |
std::string& log file name |
void setArbitaryCofficient(double arbitary_cofficient)
Set arbitary cofficient.
Parameters:
double |
arbitary cofficient |
int exec()
Execute algorithem.
Returns:
int success flag, 0: success, -1: fail
prob_tuple getResult()
Get calculation result of the algorithem.
Returns:
prob_tuple calculation result