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Quingo Simulator Backend QuaLeSim

Project description

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The QuaLeSim(Quantum Lego Simulator) is an adapted version of DQCSim. For quantum circuit simulation, you can simulate QUIET-s and QCIS instruction by it. And what's more, now the QuaLeSim is integrated into the backend of Quingo, you can use it directly after installing quingoc and quingo-runtime. More inforemations is available in [[#Install]]

Install

The QuaLeSim now is only for Linux platform.

  1. 环境准备:
    • Linux platform with python>=3.6
    • Rust # if you don't have rust, make sure you have 'curl' to install rust in the setup.py .
  2. 安装说明:
    • You can get the source code from gitee
       git clone git@gitee.com:quingo/qualesim.git
       cd qualesim
       git checkout task/fix-bugs
       git submodule update --init --recursive 
       # you must have the limits of authority of quiet-parser, dqcsim-qcis, 
       # dqcsim-quiets, dqcsim-tequila, dqcsim-quantumsim.
       pip install -r requirements.txt
       pip install .  # the step may be very slow, you can use command below.
       			   # python setup.py bdist_wheel
       			   # cd <path-to-qualesim>/target/python/build/bdist.linux-x86_64/wheel
       			   # pip install xxx.whl
       			   # 存在LLVM的情况下会很慢,暂时不清楚原因,正在修改中。
      
    • externs:
       # The Simulator is for QCIS and QUIET-s, and now the quingo-0.2.3 can generate QCIS 
       and QUIET-s
       # so you can install quingoc and quingo-runtime to use it.
       # quingoc:
       git clone git@gitee.com:quingo/quingo-compiler.git
       git checkout enh/I7U2U5/refactor_frontend
      
       1. add eigen 
       	mkdir <tmp>
       	cd <tmp>
       	cp /mnt/share/eigen-3.4.0.zip .
       	unzip eigen-3.4.0.zip
       	
       	# then copy Eigen and unsupported to quingo-compiler/extern and like 
       	- `quingo-compiler/extern/Eigen/src/SparseCholesky/SimplicialCholesky.h`
       		- SimplicialCholesky& setMode(SimplicialCholeskyMode mode)(around line 545):
       		{
       		      switch(mode)
       		      {
       		      case SimplicialCholeskyLLT:
       		        m_LDLT = false;
       		        break;
       		      case SimplicialCholeskyLDLT:
       		        m_LDLT = true;
       		        break;
       		      default:  // delete this line
       		        break;  // delete this line
       		      }
       		}
       	- `quingo-compiler/extern/unsupported/Eigen/MatrixFunctions`
       2. cd quingo-compiler/build
       3. cmakeninja ..
       4. ninja
       5. ln -s <path-to-quingo-compiler>/build/bin/quingoc ~/.local/bin/quingoc # 建立软链接
      
       # quingo-runtime and other simulators:
       git clone git@gitee.com:quingo/quingo-runtime.git
       cd quingo-runtime
       git checkout task/backend-result
       pip install -e .
      
       git clone git@gitee.com:quingo/pyqcisim.git
       cd pyqcisim
       git checkout bug-fix
       pip install -e .
      
       git clone git@gitee.com:quingo/SymQC.git
       cd SymQC
       pip install -e .
       ``` ^dea5d0
      
      

Quick Start

Quick Start is for users use the Simulator directly or use it with quingo-runtime. Some examples are available below.

  1. For independent users:
    • The Simulator can simulate QUIET-s and QCIS instructions, you can use it directly:
from dqcsim.plugin import *
from dqcsim.host import *
sim = Simulator(stderr_verbosity=Loglevel.INFO)

sim.with_frontend("<path-to-qcis-file>", verbosity=Loglevel.INFO)
# sim.with_frontend("<path-to-qi-file>", verbosity=Loglevel.INFO)
# Loglevel is for output information for DEBUG/INFO/OFF
# If you only want the simulation output, please set it OFF

sim.with_backend("quantumsim", verbosity=Loglevel.INFO)
# sim.with_backend("tequila", verbosity=Loglevel.INFO)
# now we have DQCsim-Tequila and DQCsim-QuantumSim backend for Simulator

sim.simulate()
res = sim.run(measure_mod="state_vector", num_shots=10)
# Start the simulation with different exe mod, 
# measure_mod="one_shot" and num_shots=int /
#             "state_vector"
# the output should be 

sim.stop()
final_state = dict()
final_state = res["res"]
print(final_state)
  • the output is :
measure_mod="state_vector":
res1(M Q1, M Q2) = {'classical': {'Q1': 1, 'Q2': 1}, 'quantum': (['Q3'], [0j, (1+0j)])}
# classical is qubit measured, quantum is qubit unmeasured with state vector.
res2() = {'classical': {}, 'quantum': (['Q1', 'Q2', 'Q3'], [(0.7071067811865472+0j), 0j, 0j, 0j, 0j, 0j, 0j, (0.7071067811865478+0j)])}

measure_mod="one_shot", num_shots=10:
# classical is classical value, quantum is qubit measured. and they are one to one correspondence
res(measure(q1)->c1, measure(q2)->c2) = {'quantum': [['q1', 'q2'], [[0, 0], [0, 0], [1, 1], [0, 0], [0, 0], [1, 1], [0, 0], [0, 0], [1, 1], [1, 1]]], 'classical': [{'c1': [0], 'c2': [0]}, {'c1': [0], 'c2': [0]}, {'c1': [1], 'c2': [1]}, {'c1': [0], 'c2': [0]}, {'c1': [0], 'c2': [0]}, {'c1': [1], 'c2': [1]}, {'c1': [0], 'c2': [0]}, {'c1': [0], 'c2': [0]}, {'c1': [1], 'c2': [1]}, {'c1': [1], 'c2': [1]}]}
  1. For Quingo Users
    • You should follow the [[#Install|extern: quingoc & quingo-runtime installation]] to install it.
from quingo import *
import qututor.global_config as gc
from quingo.backend.qisa import Qisa

# input quingo file and simulate qu func
qu_file = gc.quingo_dir / "ghz.qu"
circ_name = "GHZ_state"

# set the qisa, and it is the output instructions QUIET, 
# you can change to Qisa.QCIS or others.
task = Quingo_task(
    qu_file,
    circ_name,
    qisa=Qisa.QUIET,
)

num_shots = 10
cfg = ExeConfig(ExeMode.SimFinalResult, num_shots)
num_qubits = 3

# now backend BackendType.QUANTUM_SIM, BackendType.DQCSIM_TEQUILA
# BackendType.DQCSIM_QUANTUMSIM, BackendType.SYMQC is available.
# method 1
qasm_fn = compile(task, params=(num_qubits,))
res = execute(qasm_fn, BackendType.QUANTUM_SIM, cfg)

# method 2
# res = call(task, (num_qubits,), BackendType.DQCSIM_TEQUILA, cfg)

print("res: ", res)
  • the output is :
measure_mod="state_vector":
res1(M Q1, M Q2) = {'classical': {'Q1': 1, 'Q2': 1}, 'quantum': (['Q3'], [0j, (1+0j)])}
# classical is qubit measured, quantum is qubit unmeasured with state vector.
res2() = {'classical': {}, 'quantum': (['Q1', 'Q2', 'Q3'], [(0.7071067811865472+0j), 0j, 0j, 0j, 0j, 0j, 0j, (0.7071067811865478+0j)])}

measure_mod="one_shot", num_shots=10:
# quingo-runtime only have quantum values.
res(measure(q1)->c1, measure(q2)->c2) =(['q1', 'q2'], [[0, 0], [0, 0], [1, 1], [0, 0], [0, 0], [1, 1], [0, 0], [0, 0], [1, 1], [1, 1]])

FAQ

  1. for install
    1. your environment donot have rust?
    2. if you have llvm in your platform, the setup install maybe very slow.
      • the problem is to be solved.
    3. install about quingoc
  2. for use
    1. when you first use it, there would be a problem 核心已转储
      • it is the dqcsim's problem and is to be solved.

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