A Python-based Quantum Control Instruction Set (QCIS) simulator
Project description
PyQCISim
Introduction
A Python-based Quantum Control Instruction Set (QCIS) simulator developed by Zhihao Wu and Xiang Fu from QUANTA@NUDT.
Actually, PyQCISim is more a QCIS parser than a simulator. PyQCISim implements a QCIS parser which translates QCIS files into an internal representation of quantum operations. These quantum operations are then sent to another simulator to simulate the quantum state evolution. Currently, the open-source density matrix simulator QuantumSim is used as the backend. Other quantum state simulators will also be added in the future.
Installation
Install from pip
pip install pyqcisim
Install from repository
Clone (or download) this repository to your computer, and pip install it using the following commands:
git clone https://gitee.com/hpcl_quanta/pyqcisim
cd pyqcisim
pip install -e .
Note, if your computer also has python2 installed, you might require to replace pip
with pip3
.
Verify the installation under the root directory of pyqcisim:
pytest -ra
A successful installation should see all tests passed.
Note. if your computer also has python2 installed, you might require to replace pytest
with pytest-3
.
Usage
Direct QCIS simulation in command line
You can use the file pyqcisim/simulate_qcis.py
to directly simulate a QCIS file:
python <path-to-pyqcisim/simulate_qcis.py> <qcis-file>
You can use the following command to see its various parameters:
python <path-to-pyqcisim/simulate_qcis.py> --help
Call PyQCISim in Python
First, import the simulator, instantiate PyQCISim
, and compile the given QCIS program:
from pyqcisim.simulator import *
pyqcisim = PyQCISim()
prog = """
X qA
X qB
CNOT qA qB
M qA
M qB
"""
pyqcisim.compile(prog)
Second, you can start simulate the program using either the default one_shot
mode:
msmt_results = pyqcisim.simulate()
print("msmt_results: ", msmt_results)
or using the final_state
mode:
final_state = pyqcisim.simulate(mode="final_state")
print("final_state: ", final_state)
These two mode has some difference:
one_shot
mode:- Only qubit measurement result will be recorded.
- If there is no measurement in the circuit, then the result will be empty.
- The entire circuit will be simulated for $n$ times, where $n$ is default to 1000 and can be set via the optional parameter
num_shots
when callingsimulate()
. - Result format
(['qA', 'qB'], {'00': 0, '01': 1000, '10': 0, '11': 0})
final_state
mode:- The simulator returns the final state of the entire quantum system, which comprises two parts:
- The classical state of measured qubits
- The state vector of qubits that are not measured
- Example result format after commenting out
M qB
in the above code:{'classical': {'qA': 1}, 'quantum': (['qB'], array([1.+0.j, 0.+0.j]))}
- The simulator returns the final state of the entire quantum system, which comprises two parts:
Problems and Feedback
If you have any suggestions or encounter any problems in using PyQCISim, please feel free to post an issue at https://gitee.com/hpcl_quanta/pyqcisim/issues, or send an email to Xiang Fu (xiangfu at quanta dot org dot cn)
Currently Supported QCIS and the Syntax
Note, PyQCISim supports a super set of QCIS instructions as supported by the current quantumcomputer.ac.cn. The user should pay attention to instructions not supported by quantumcomputer.ac.cn.
In the following, we adopt the following conventions:
[qubit]
,[control_qubit]
,[target_qubit]
are IDENTIFIERs[theta]
$\in [-\pi, \pi]$[phi]
$\in [-\pi, \pi]$- $R_{x/y/z}(\theta)$: rotate the target qubit for $\theta$-radius angle along the $x/y/z$-axis.
- $R_{\hat{n}}(\theta)$: rotate the target qubit for $\theta$-radius angle along the $\hat{n}$-direction.
Single Qubit Operation Instructions
Instruction Format | Description | NOTE |
---|---|---|
X [qubit] |
$R_x(\pi)$ | |
Y [qubit] |
$R_y(\pi)$ | |
Z [qubit] |
$R_z(\pi)$ | |
H [qubit] |
$\frac{1}{\sqrt{2}}[[1, 1], [1, -1]]$ | |
S [qubit] |
$R_z(\frac{\pi}{2})$ | |
SD [qubit] |
$R_z(-\frac{\pi}{2})$ | |
T [qubit] |
$R_z(\frac{\pi}{4})$ | |
TD [qubit] |
$R_z(-\frac{\pi}{4})$ | |
X2P [qubit] |
$R_x(\frac{\pi}{2})$ | |
X2M [qubit] |
$R_x(-\frac{\pi}{2})$ | |
Y2P [qubit] |
$R_y(\frac{\pi}{2})$ | |
Y2M [qubit] |
$R_y(-\frac{\pi}{2})$ | |
RX [qubit] [theta] |
$R_x(\theta)$ | |
RY [qubit] [theta] |
$R_y(\theta)$ | |
RZ [qubit] [theta] |
$R_z(\theta)$ | |
XY [qubit] [phi] |
$R_{\hat{n}}(\pi),\quad \hat{n}=[\cos{\phi}, \sin{\phi}, 0]$ | |
XY2P [qubit] [phi] |
$R_{\hat{n}}(\frac{\pi}{2}),\quad \hat{n}=[\cos{\phi}, \sin{\phi}, 0]$ | |
XY2M [qubit] [phi] |
$R_{\hat{n}}(-\frac{\pi}{2}),\quad \hat{n}=[\cos{\phi}, \sin{\phi}, 0]$ | |
RXY [qubit] [phi] [theta] |
$R_{\hat{n}}(\theta),\quad \hat{n}=[\cos{\phi}, \sin{\phi}, 0]$ | To be confirmed |
XYARB [qubit] [phi] [theta] |
Same as RYX |
Deprecated |
Z2P [qubit] |
$R_z(\frac{\pi}{2})$ | Deprecated |
Z2M [qubit] |
$R_z(-\frac{\pi}{2})$ | Deprecated |
Z4P [qubit] |
$R_z(\frac{\pi}{4})$ | Deprecated |
Z4M [qubit] |
$R_z(-\frac{\pi}{4})$ | Deprecated |
Two Qubit Operation Instructions
Instruction Format | Description |
---|---|
CZ [control_qubit] [target_qubit] |
Control-Z operation |
CNOT [control_qubit] [target_qubit] |
Control-NOT operation |
SWP [control_qubit] [target_qubit] |
SWAP operation |
SSWP [control_qubit] [target_qubit] |
$\sqrt{\text{SWAP}}$ operation |
ISWP [control_qubit] [target_qubit] |
$i$ SWAP operation |
SISWP [control_qubit] [target_qubit] |
$\sqrt{i \text{SWAP}}$ operation |
Measurement Instructions
Instruction Format | Description | NOTE |
---|---|---|
M [qubit_1] ... [qubit_n] |
Measure qubits on computational basis | |
MEASURE [qubit_1] ... [qubit_n] |
Measure qubits on computational basis | Deprecated |
Ancillary Instructions
Instruction Format | Description | NOTE |
---|---|---|
B |
Qubit barrier (useless in PyQCISim) |
Miscellaneous
- All qubit names can be arbitrary identifiers except for reserved key words in QCIS.
- Parameters representing angles are all in radian.
- Multiple QCIS instructions should be seperated by
\n
. - Comment line should start with a
#
.
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