### Install Qua-Qsim

Source: https://github.com/qua-platform/qua-qsim/blob/main/README.md

Installs the Qua-Qsim package from its GitHub repository using pip. This command fetches the latest version directly from the source.

```sh
pip install git+http://github.com/qua-platform/qua-qsim.git
```

--------------------------------

### Python QUA Configuration Example

Source: https://github.com/qua-platform/qua-qsim/blob/main/README.md

This snippet demonstrates how to create a QUA configuration dictionary in Python. It defines parameters for qubits, resonators, intermediate frequencies, local oscillator frequencies, and pulse settings, which are crucial for setting up quantum hardware in the Quantum Machines platform.

```python
from qualang_tools.units import unit
u = unit(coerce_to_integer=True)

x90_q1_amp = 0.08
x90_q2_amp = 0.068

x90_len = 260 // 4

qubit_1_IF = 50 * u.MHz
qubit_1_LO = 4860000000 - qubit_1_IF

qubit_2_IF = 60 * u.MHz
qubit_2_LO = 4970000000 - qubit_2_IF

resonator_1_LO = 5.5 * u.GHz
resonator_1_IF = 60 * u.MHz

resonator_2_LO = 5.5 * u.GHz
resonator_2_IF = 60 * u.MHz

readout_len = 5000
readout_amp = 0.2

time_of_flight = 24

config = {
    "version": 1,
    "controllers": {
        "con1": {
            "analog_outputs": {
                1: {"offset": 0.0},  # I resonator 1
                2: {"offset": 0.0},  # Q resonator 1
                3: {"offset": 0.0},  # I resonator 2
                4: {"offset": 0.0},  # Q resonator 2
                5: {"offset": 0.0},  # I qubit 1
                6: {"offset": 0.0},  # Q qubit 1
                7: {"offset": 0.0},  # I qubit 2
                8: {"offset": 0.0},  # Q qubit 2
            },
            "digital_outputs": {},
            "analog_inputs": {
                1: {"offset": 0.0, "gain_db": 0},  # I from down-conversion
                2: {"offset": 0.0, "gain_db": 0},  # Q from down-conversion
            },
        },
    },
    "elements": {
        "qubit_1": {
            "RF_inputs": {"port": ("octave1", 3)},
            "intermediate_frequency": qubit_1_IF,
            "operations": {
                "x90": "x90_q1_pulse",
                "y90": "y90_q1_pulse",
            },
        },
        "qubit_1t2": {
            "RF_inputs": {"port": ("octave1", 3)},
            "intermediate_frequency": qubit_2_IF,
            "operations": {
                "x90": "x90_pulse",
            },
        },
        "qubit_2": {
            "RF_inputs": {"port": ("octave1", 4)},
            "intermediate_frequency": qubit_2_IF,
            "operations": {
                "x90": "x90_q2_pulse",
            },
        },
        "resonator_1": {
            "RF_inputs": {"port": ("octave1", 1)},
            "RF_outputs": {"port": ("octave1", 1)},
            "intermediate_frequency": resonator_1_IF,
            "operations": {
                "readout": "readout_pulse",
            },
            "time_of_flight": time_of_flight,
            "smearing": 0,
        },
        "resonator_2": {
            "RF_inputs": {"port": ("octave1", 2)},
            "RF_outputs": {"port": ("octave1", 1)},
            "intermediate_frequency": resonator_2_IF,
            "operations": {
                "readout": "readout_pulse",
            },
            "time_of_flight": time_of_flight,
            "smearing": 0,
        },
    },
    "octaves": {
        "octave1": {
            "RF_outputs": {
                1: {
                    "LO_frequency": resonator_1_LO,
                    "LO_source": "internal",
                    "output_mode": "always_on",
                    "gain": 0,
                },
                2: {
                    "LO_frequency": resonator_2_LO,
                    "LO_source": "internal",
                    "output_mode": "always_on",
                    "gain": 0,
                },
                3: {
                    "LO_frequency": qubit_1_LO,
                    "LO_source": "internal",
                    "output_mode": "always_on",
                    "gain": 0,
                },
                4: {
                    "LO_frequency": qubit_2_LO,
                    "LO_source": "internal",
                    "output_mode": "always_on",
                    "gain": 0,
                },
            },
            "RF_inputs": {
                1: {
                    "LO_frequency": resonator_1_LO,
                    "LO_source": "internal",
                },
            },
            "connectivity": "con1",
        }
    },
    "pulses": {
        "x90_q1_pulse": {
            "operation": "control",
            "length": x90_len,
            "waveforms": {
                "I": "x90_q1_I_wf",
                "Q": "x90_q1_Q_wf",
            },
        },
        "y90_q1_pulse": {
            "operation": "control",
            "length": x90_len,
            "waveforms": {
                "I": "y90_q1_I_wf",
                "Q": "y90_q1_Q_wf",
            },
        },
        "x90_q2_pulse": {
            "operation": "control",
            "length": x90_len,
            "waveforms": {
                "I": "x90_q2_I_wf",
                "Q": "x90_q2_Q_wf",
            },
        },
        "y90_q2_pulse": {
            "operation": "control",
            "length": x90_len,
            "waveforms": {

```

--------------------------------

### Define a QUA Program for Rabi Oscillations

Source: https://github.com/qua-platform/qua-qsim/blob/main/README.md

An example QUA program demonstrating an amplitude sweep on two qubits, playing x90 pulses, and performing measurements on resonators to observe Rabi oscillations.

```qua
from qm.qua import *

start, stop, step = -2, 2, 0.1
with program() as prog:
    a = declare(fixed)

    with for_(a, start, a < stop - 0.0001, a + step):
        play("x90"*amp(a), "qubit_1")
        play("x90"*amp(a), "qubit_2")

        align("qubit_1", "qubit_2", "resonator_1", "resonator_2")
        measure("readout", "resonator_1", None)
        measure("readout", "resonator_2", None)
```

--------------------------------

### Contribute to Qua-Qsim Project

Source: https://github.com/qua-platform/qua-qsim/blob/main/README.md

Standard Git commands for contributing to the Qua-Qsim project. This includes forking the repository, cloning the fork, creating a new branch for changes, committing modifications, and pushing the branch to GitHub.

```shell
git clone https://github.com/qua-platform/qua-qsim.git
git checkout -b your-branch-name
git commit -m "Description of your changes"
git push origin your-branch-name
```

--------------------------------

### Simulate QUA Program and Plot Results

Source: https://github.com/qua-platform/qua-qsim/blob/main/README.md

Demonstrates how to use Qua-Qsim's simulate_program function to run a QUA program on a defined backend and visualize the results, such as Rabi oscillations, using Matplotlib. It requires setting up a backend and providing the QUA program and configuration.

```python
import numpy as np
import matplotlib.pyplot as plt

from quaqsim import simulate_program
from quaqsim.architectures.transmon_pair_backend_from_qua import \
    TransmonPairBackendFromQUA

backend = TransmonPairBackendFromQUA(transmon_pair, channel_map)

results = simulate_program(
    qua_program=prog,
    qua_config=config,
    qua_config_to_backend_map=channel_map,
    backend=backend,
    num_shots=10_000,
)

for i, result in enumerate(results):
    plt.plot(np.arange(start, stop, step), results[i], '.-', label=f"Simulated Q{i}")
    plt.ylim(-0.05, 1.05)
plt.legend()
plt.show()
```

--------------------------------

### Map QUA Elements to Simulation Channels

Source: https://github.com/qua-platform/qua-qsim/blob/main/README.md

Maps QUA elements (qubits, resonators) to simulation backend channels, specifying qubit index, carrier frequency, and operators for correct signal routing.

```python
from quaqsim.architectures.from_qua_channels import (
    TransmonPairBackendChannelReadout,
    TransmonPairBackendChannelIQ, 
    ChannelType
)

qubit_1_freq = 4860000000
qubit_2_freq = 4970000000.0

channel_map = {
    "qubit_1": TransmonPairBackendChannelIQ(
        qubit_index=0,
        carrier_frequency=qubit_1_freq,
        operator_i=transmon_pair.transmon_1_drive_operator(quadrature='I'),
        operator_q=transmon_pair.transmon_1_drive_operator(quadrature='Q'),
        type=ChannelType.DRIVE
    ),
    "qubit_1t2": TransmonPairBackendChannelIQ(
        qubit_index=0,
        carrier_frequency=qubit_2_freq,
        operator_i=transmon_pair.transmon_1_drive_operator(quadrature='I'),
        operator_q=transmon_pair.transmon_1_drive_operator(quadrature='Q'),
        type=ChannelType.CONTROL
    ),
    "qubit_2": TransmonPairBackendChannelIQ(
        qubit_index=1,
        carrier_frequency=qubit_2_freq,
        operator_i=transmon_pair.transmon_2_drive_operator(quadrature='I'),
        operator_q=transmon_pair.transmon_2_drive_operator(quadrature='Q'),
        type=ChannelType.DRIVE
    ),
    "resonator_1": TransmonPairBackendChannelReadout(0),
    "resonator_2": TransmonPairBackendChannelReadout(1),
}
```

--------------------------------

### Define Simulated Quantum Parameters

Source: https://github.com/qua-platform/qua-qsim/blob/main/README.md

Sets up simulation parameters for a transmon pair, including resonant frequency, anharmonicity, Rabi frequency, and coupling strength for accurate quantum system simulation.

```python
from quaqsim.architectures.transmon_pair import TransmonPair
from quaqsim.architectures import TransmonSettings
from quaqsim.architectures.transmon_pair_settings import TransmonPairSettings

settings = TransmonPairSettings(
    TransmonSettings(
        resonant_frequency=4860000000.0,
        anharmonicity=-320000000.0,
        rabi_frequency=0.22e9
    ),
    TransmonSettings(
        resonant_frequency=4970000000.0,
        anharmonicity=-320000000.0,
        rabi_frequency=0.26e9
    ),
    coupling_strength=0.002e9
)

transmon_pair = TransmonPair(settings)
```

--------------------------------

### QUA Configuration Structure

Source: https://github.com/qua-platform/qua-qsim/blob/main/README.md

Defines the structure for QUA operations, including pulse definitions, waveforms, and digital markers for quantum simulations.

```json
{
    "pulses": {
        "x90_q1": {
            "operation": "control",
            "length": 40,
            "waveforms": {
                "I": "x90_q1_I_wf",
                "Q": "x90_q1_Q_wf"
            }
        },
        "x90_q2": {
            "operation": "control",
            "length": 40,
            "waveforms": {
                "I": "x90_q2_I_wf",
                "Q": "x90_q2_Q_wf"
            }
        },
        "readout": {
            "operation": "measurement",
            "length": 100,
            "waveforms": {
                "I": "readout_wf",
                "Q": "zero_wf"
            },
            "integration_weights": {
                "cos": "cosine_weights",
                "sin": "sine_weights",
                "minus_sin": "minus_sine_weights"
            },
            "digital_marker": "ON"
        }
    },
    "waveforms": {
        "zero_wf": {"type": "constant", "sample": 0.0},
        "x90_q1_I_wf": {"type": "constant", "sample": x90_q1_amp},
        "x90_q1_Q_wf": {"type": "constant", "sample": 0.},
        "y90_q1_I_wf": {"type": "constant", "sample": 0.},
        "y90_q1_Q_wf": {"type": "constant", "sample": x90_q1_amp},
        "x90_q2_I_wf": {"type": "constant", "sample": x90_q2_amp},
        "x90_q2_Q_wf": {"type": "constant", "sample": 0.},
        "y90_q2_I_wf": {"type": "constant", "sample": 0.},
        "y90_q2_Q_wf": {"type": "constant", "sample": x90_q2_amp},
        "readout_wf": {"type": "constant", "sample": readout_amp}
    },
    "digital_waveforms": {
        "ON": {"samples": [(1, 0)]}
    }
}
```

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