quantum-serverless 0.8.0

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Quantum Serverless client

Installation

pip install quantum_serverless

Documentation

Full docs can be found at https://qiskit-extensions.github.io/quantum-serverless/

Usage

Step 1: write pattern

  from quantum_serverless import distribute_task, get, get_arguments, save_result

   from qiskit import QuantumCircuit
   from qiskit.circuit.random import random_circuit
   from qiskit.primitives import Sampler
   from qiskit.quantum_info import SparsePauliOp

   # 1. let's annotate out function to convert it
   # to distributed async function
   # using `distribute_task` decorator
   @distribute_task()
   def distributed_sample(circuit: QuantumCircuit):
       """Calculates quasi dists as a distributed function."""
       return Sampler().run(circuit).result().quasi_dists[0]


   # 2. our program will have one arguments
   # `circuits` which will store list of circuits
   # we want to sample in parallel.
   # Let's use `get_arguments` funciton
   # to access all program arguments
   arguments = get_arguments()
   circuits = arguments.get("circuits", [])

   # 3. run our functions in a loop
   # and get execution references back
   function_references = [
       distributed_sample(circuit)
       for circuit in circuits
   ]

   # 4. `get` function will collect all
   # results from distributed functions
   collected_results = get(function_references)

   # 5. `save_result` will save results of program execution
   # so we can access it later
   save_result({
       "quasi_dists": collected_results
   })

Step 2: run pattern

   from quantum_serverless import ServerlessProvider, QiskitPattern
   from qiskit.circuit.random import random_circuit

   serverless = ServerlessProvider(
       username="<USERNAME>", 
       password="<PASSWORD>",
       host="<GATEWAY_ADDRESS>",
   )

   # create program
   program = QiskitPattern(
       title="Quickstart",
       entrypoint="pattern.py",
       working_dir="./src"
   )

   # create inputs to our program
   circuits = []
   for _ in range(3):
       circuit = random_circuit(3, 2)
       circuit.measure_all()
       circuits.append(circuit)

   # run program
   job = serverless.run(
       program=program,
       arguments={
           "circuits": circuits
       }
   )

Step 3: monitor job status

   job.status()
   # 'DONE'
    
   # or get logs
   job.logs()

Step 4: get results

   job.result()
   # {"quasi_dists": [
   #  {"0": 0.25, "1": 0.25, "2": 0.2499999999999999, "3": 0.2499999999999999},
   #  {"0": 0.1512273969460124, "1": 0.0400459556274728, "6": 0.1693190975212014, "7": 0.6394075499053132},
   #  {"0": 0.25, "1": 0.25, "4": 0.2499999999999999, "5": 0.2499999999999999}
   # ]}