1import numpy as np
2from bloqade.atom_arrangement import Square
3from qbraid.runtime import QbraidProvider
4
5provider = QbraidProvider()
6device = provider.get_device("quera_aquila")
7
8ahs_program = (
9    Square(3, lattice_spacing="lattice_spacing")
10    .rydberg.rabi.amplitude.uniform.piecewise_linear(
11        durations=[0.4, 3.2, 0.4],
12        values=[0.0, "max_rabi", "max_rabi", 0.0],
13    )
14    .assign(max_rabi=15.8, max_detuning=16.33)
15    .batch_assign(
16        lattice_spacing=np.arange(4.0, 7.0, 1.0)
17    )
18)
19
20job_batch = device.run(ahs_program, shots=50)

1from braket.experimental.algorithms.bernstein_vazirani import (
2    bernstein_vazirani_circuit
3)
4
5import qbraid
6from qbraid import Conversion, transpile
7
8import stim
9from stimcirq import cirq_circuit_to_stim_circuit
10
11braket_bv_circ = bernstein_vazirani_circuit("010101")
12
13conversion = Conversion("cirq", "stim", cirq_circuit_to_stim_circuit)
14graph.add_conversion(conversion)
15
16stim_circuit = transpile(braket_bv_circ, "stim", conversion_graph=graph)
17type(stim_circuit)
18# Output stim._stim_sse2.Circuit

1import cirq
2import cudaq
3
4from qbraid import transpile
5
6number_of_qubits = 17
7qubits = cirq.LineQubit.range(number_of_qubits)
8
9# Create a GHZ circuit on this qubit line
10ghz_circuit = cirq.Circuit(
11    cirq.H(qubits[0]),
12    *[cirq.CNOT(qubits[i - 1], qubits[i]) for i in range(1, number_of_qubits)],
13    cirq.measure(*qubits, key='out'),
14)
15
16# Convert cirq circuit to cudaq
17cudaq_circ = transpile(ghz_circuit, "cudaq")

1from qbraid import QbraidProvider
2from qbraid.visualization import plot_histogram, plot_distribution
3
4provider = QbraidProvider(api_key="YOUR_API_KEY")
5provider.save_config()
6
7qasm_ghz = """
8OPENQASM 2;
9include "qelib1.inc";
10qreg q[3];
11h q[0];
12cx q[0], q[1];
13cx q[1], q[2];
14"""
15
16device = provider.get_device("ionq_simulator")
17
18job = device.run(qasm_ghz, shots=1000)