PH.ansatzes

ansatzes

This module contains all functions needed for creating QLM implementation for the ansatz of the Parent Hamiltonian paper:

Fumiyoshi Kobayashi and Kosuke Mitarai and Keisuke Fujii Parent Hamiltonian as a benchmark problem for variational quantum eigensolvers Physical Review A, 105, 5, 2002 https://doi.org/10.1103%2Fphysreva.105.052415

Authors: Gonzalo Ferro

class tnbs.BTC_04_PH.PH.ansatzes.ansatzes.SolveCircuit(qlm_circuit, **kwargs)

Bases: object

get_job_results(jobid)

Given a Jobid retrieve the result and procces output

run()

Solve Circuit

save_parameters()

Saving Parameters

save_state()

Saving State

save_time()

submit()

Submit circuit

tnbs.BTC_04_PH.PH.ansatzes.ansatzes.angles_ansatz01(circuit, pdf_parameters=None)

Create the angles for ansatz01

Parameters:

• circuit (QLM circuit) – QLM circuit with the parametrized ansatzes

• parameters (pandas DataFrame) – For providing the parameters to the circuit. If None is provide the parameters are set using som formula

Returns:

• circuit (QLM circuit) – QLM circuit with the parameters fixed

• pdf_parameters (pandas DataFrame) – DataFrame with the values of the parameters

tnbs.BTC_04_PH.PH.ansatzes.ansatzes.ansatz_qlm_01(nqubits=7, depth=3)

Implements QLM version of the Parent Hamiltonian Ansatz using parametric Circuit

Parameters:

• nqubits (int) – number of qubits for the ansatz

• depth (int) – number of layers for the parametric circuit

Returns:

• qprog (QLM Program) – QLM program with the ansatz implementation in parametric format

• theta (list) – list with the name of the variables of the QLM Program

tnbs.BTC_04_PH.PH.ansatzes.ansatzes.ansatz_qlm_02(nqubits, depth=3)

Implements QLM version of the Parent Hamiltonian Ansatz using parametric Circuit

Parameters:

• nqubits (int) – number of qubits for the ansatz

• depth (int) – number of layers for the parametric circuit

Returns:

• qprog (QLM Program) – QLM program with the ansatz implementation in parametric format

• theta (list) – list with the name of the variables of the QLM Program

tnbs.BTC_04_PH.PH.ansatzes.ansatzes.ansatz_selector(ansatz, **kwargs)

Function for selecting an ansatz

Parameters:

• ansatz (text) – The desired ansatz

• kwargs (keyword arguments) – Different keyword arguments for configurin the ansazt, like nqubits or depth

Returns:

circuit – The atos myqlm circuit implementation of the input ansatz

Return type:

Atos myqlm circuit

tnbs.BTC_04_PH.PH.ansatzes.ansatzes.getting_job(**configuration)

For getting a job from QLM. Configuration need to have following keys: nqubits, job_id, save, filename

tnbs.BTC_04_PH.PH.ansatzes.ansatzes.proccess_qresults(result, qubits, complete=True)

Post Process a QLM results for creating a pandas DataFrame

Parameters:

• result (QLM results from a QLM qpu.) – returned object from a qpu submit

• qubits (int) – number of qubits

• complete (bool) – for return the complete basis state.

tnbs.BTC_04_PH.PH.ansatzes.ansatzes.run_ansatz(**configuration)

For creating an ansatz and solving it

tnbs.BTC_04_PH.PH.ansatzes.ansatzes.solving_circuit(qlm_state, nqubit, reverse=True)

Solving a complete qlm circuit

Parameters:

• qlm_circuit (QLM circuit) – qlm circuit to solve

• nqubit (int) – number of qubits of the input circuit

• qlm_qpu (QLM qpu) – QLM qpu for solving the circuit

• reverse (True) – This is for ordering the state from left to right If False the order will be form right to left

Returns:

state – DataFrame with the complete simulation of the circuit

Return type:

pandas DataFrame

tnbs.BTC_04_PH.PH.ansatzes.ansatzes.submit_circuit(qlm_circuit, qlm_qpu)

Solving a complete qlm circuit

Parameters:

• qlm_circuit (QLM circuit) – qlm circuit to solve

• qlm_qpu (QLM qpu) – QLM qpu for solving the circuit

launch_ansatzes

For launching a VQE quantum step execution Author: Gonzalo Ferro

tnbs.BTC_04_PH.PH.ansatzes.launch_ansatzes.run_id(**configuration)

launch_get_jobs

For launching a VQE quantum step execution Author: Gonzalo Ferro

tnbs.BTC_04_PH.PH.ansatzes.launch_get_jobs.run_id(**configuration)