| Name | qm-saas JSON |
| Version |
1.0.2
JSON |
| download |
| home_page | None |
| Summary | QM Simulator as a Service is a client library to launch simulator instances for QUA programs. |
| upload_time | 2024-07-04 09:54:47 |
| maintainer | None |
| docs_url | None |
| author | Quantum Machines |
| requires_python | <3.12,>=3.8 |
| license | None |
| keywords |
|
| VCS |
|
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
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| coveralls test coverage |
No coveralls.
|
# QM Simulator as a Service
Run Quantum Machines Qua simulator instances at scale.
## Supported versions
* v3_1_0
* v2_4_0
* v2_2_2
* v2_2_0
* v2_1_3
# Configuration of v3_1_0
The simulated hardware provides 1 controller (con1) with 8 frontend modules (FEM).
The 8 FEMs are split into 4 low frequency (LF, FEM 1 to 4) and 4 microwave (MW, FEM 5 to 8) modules.
# Authentication
Your QM representative provides you an email and password to access the service.
You can use these credentials to authenticate to the service the following way:
```python
client = QoPSaaS(email="your@email.com",
password="password")
```
# Running your program on a simulator
You can spawn simulators and directly connect to them with your Qua program.
```python
from qm import QuantumMachinesManager, SimulationConfig
from qm.qua import play, program
from qm_saas.client import QoPSaaS, QoPVersion
config = {
# your Qua program configuration
}
client = QoPSaaS(email="john.doe@quantum-machines.co", password="secret")
with client.simulator(QoPVersion.v2_2_2) as instance:
qmm = QuantumMachinesManager(
host=instance.sim_host,
port=instance.sim_port,
connection_headers=instance.default_connection_headers
)
with program() as prog:
play("playOp", "qe1")
qm = qmm.open_qm(config)
job = qm.simulate(prog, SimulationConfig(int(1000)))
```
Wrapping your program in a `with` statement ensures that the simulator is properly cleaned up after the program is done running.
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"description": "# QM Simulator as a Service\n\nRun Quantum Machines Qua simulator instances at scale.\n\n## Supported versions\n * v3_1_0\n * v2_4_0\n * v2_2_2\n * v2_2_0\n * v2_1_3\n\n# Configuration of v3_1_0\n\nThe simulated hardware provides 1 controller (con1) with 8 frontend modules (FEM).\nThe 8 FEMs are split into 4 low frequency (LF, FEM 1 to 4) and 4 microwave (MW, FEM 5 to 8) modules.\n\n# Authentication\n\nYour QM representative provides you an email and password to access the service.\nYou can use these credentials to authenticate to the service the following way:\n\n```python\nclient = QoPSaaS(email=\"your@email.com\",\n password=\"password\")\n```\n\n# Running your program on a simulator\n\nYou can spawn simulators and directly connect to them with your Qua program.\n\n```python\nfrom qm import QuantumMachinesManager, SimulationConfig\nfrom qm.qua import play, program\n\nfrom qm_saas.client import QoPSaaS, QoPVersion\n\nconfig = {\n # your Qua program configuration\n}\n\nclient = QoPSaaS(email=\"john.doe@quantum-machines.co\", password=\"secret\")\n\nwith client.simulator(QoPVersion.v2_2_2) as instance:\n qmm = QuantumMachinesManager(\n host=instance.sim_host,\n port=instance.sim_port,\n connection_headers=instance.default_connection_headers\n )\n\n with program() as prog:\n play(\"playOp\", \"qe1\")\n\n qm = qmm.open_qm(config)\n job = qm.simulate(prog, SimulationConfig(int(1000)))\n```\n\nWrapping your program in a `with` statement ensures that the simulator is properly cleaned up after the program is done running.\n",
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