pu2wof / nwqsim

High-performance simulator for executing QIR on GPU and CPU backends

Geek Repo:Geek Repo

Github PK Tool:Github PK Tool

NWQSim: Northwest Quantum Circuit Simulation Environment

A Quantum System Simulation Environment on classical multi-node, multi-CPU/GPU heterogeneous HPC systems. It currently includes a state-vector simulator SV-Sim (SC'21) for high-performance ideal simulation, and a density matrix simulator DM-Sim (SC'20) for noise-aware simulation. It supports C++, Python, Q#/QIR, Qiskit, QASM, XACC as the front-ends, and X86/PPC CPU, NVIDIA/AMD GPU as the backends, see below:

alt text

Current version 2.0

NWQSim is under active development. Please raise any bugs and suggest features.

About SV-Sim

SV-Sim is implemented in C++/CUDA/HIP for general full-state quantum circuit simulation. It assumes qubits are all-to-all connected unless the input circuits are with respect to circuit topology. We use internal gate representations for advanced optimization and profiling.

alt text

SV-Sim supports the following quantum gates as the interface based on OpenQASM-2, OpenQASM-3, QIR and Qiskit:

Gate Format Meaning
X X(q) Pauli-X gate on qubit q
Y Y(q) Pauli-Y gate on qubit q
Z Z(q) Pauli-Z gate on qubit q
H H(q) Clifford Hadamard gate on qubit q
S S(q) Clifford sqrt(Z) phase gate on qubit q
SDG SDG(q) Clifford inverse of sqrt(Z) on qubit q
T T(q) sqrt(S) phase gate on qubit q
TDG TDG(q) Inverst of sqrt(S) on qubit q
ID ID(q) Identiy gate on qubit q
SX SX(q) sqrt(X) gate on qubit q, a basis gate for IBMQ
RI RI(theta, q) Global phase gate, U(0,0,a) in QASM3 or RI in Q#
RX RX(theta, q) Rotate around X axis for qubit q
RY RY(theta, q) Rotate around Y axis for qubit q
RZ RZ(theta, q) Rotate around Z axis for qubit q
P P(theta, q) Phase gate on qubit q as defined by Qiskit
U U(theta, phi, lamb, q) generic singl-qubit rotation gate with 3 Euler angles, see QASM2
CX CX(ctrl, q) CNOT or controlled X gate on qubit q
CY CY(ctrl, q) Controlled Y gate on qubit q
CZ CZ(ctrl, q) Controlled Z gate on qubit q
CH CH(ctrl, q) Controlled H gate on qubit q
CS CS(ctrl, q) Controlled S gate on qubit q
CSDG CSDG(ctrl, q) Controlled SDG gate on qubit q
CT CT(ctrl, q) Controlled T gate on qubit q
CTDG CTDG(ctrl, q) Controlled TDG gate on qubit q
CRX CRX(theta, ctrl, q) Controlled RX gate on qubit q
CRY CRY(theta, ctrl, q) Controlled RY gate on qubit q
CRZ CRZ(theta, ctrl, q) Controlled RZ gate on qubit q
CSX CSX(ctrl, q) Controlled SX gate on qubit q
CP CP(theta, ctrl, q) Controlled P gate on qubit q
CU CU(theta, phi, lamb, gamma, ctrl, q) generic controlled U gate, see Qiskit CU gate
SWAP SWAP(ctrl, q) Swap gate on ctrl and q
M M(q) measure qubit q on pauli-Z basis
MA MA(n) sample all qubits for n shots all-together
RESET RESET(q) reset qubit q to zero state

Internally, it supports arbitrary 1 or 2 qubit gates for optimization and extension to support new gates:

Gate Format Meaning
C1 C1(a0-a3) Arbitrary 1-qubit gate
C2 C2(a0-a15) Arbitrary 2-qubit gate

Prerequisite

SV-Sim in general only requires a C++ compiler. However, in order to build for GPUs or scaling (up and out) or using other APIs (python, qir, qiskit), we need the following libraries:

Dependency Version Comments
CUDA 11.0 or later NVIDIA GPU backend only
GCC 7.0 or later Or other native C++ compiler
OpenMP Local single-node only
MPI Local CPU multi-node only
NVSHMEM 2.6.0 NVIDIA GPU cluster scale-out only
Python 3.4 Python API only
Pybind11 2.5.0 Python API only
mpi4py 3.0.3 Python API on cluster only
ROCM 3.1.0 AMD GPU only
Qiskit 0.20.0 Qiskit interface only
Q# runtime Local Q#/QIR interface only

Configure and run on ORNL Summit Supercomputer

$ git clone https://github.com/qir-alliance/nwqsim.git 
$ cd nwqsim/env

You need to update the env file “setup_summit.sh”, specify the nvshmem path at the end of the LD_LIBRARY_PATH. If you use Q#/QIR, you need to configure the qsharp runtime paths

$ source setup_summit.sh
$ cd ../qasm/ibmq_bench/
$ vim Makefile

You need to update the Makefile here, mainly the path to NVSHMEM, the GPU arch number, and the project number in run_all.lsf

$ make -j 8
$ bsub run_all.lsf

Alternatively, you can allocate an interactive job and execute

$ bsub -Is -W 20 -nnodes 2 -P CSCXXX  $SHELL
$ ./run_all

Configure and run on NERSC Perlmutter Supercomputer

$ git clone https://github.com/qir-alliance/nwqsim.git 
$ cd nwqsim/env

You need to update the env file “setup_perlmutter.sh”, specify the nvshmem path at the end of the LD_LIBRARY_PATH. If you use Q#/QIR, you need to configure the qsharp runtime paths

$ source setup_perlmutter.sh
$ cd ../svsim/qasm/ibmq_bench/
$ vim makefile_perlmutter

You need to update the Makefile here, mainly the path to NVSHMEM.

$ make -j 8 -f makefile_perlmutter

Alternatively, you can allocate an interactive job and execute

$ salloc -N 2 -n 8 --qos interactive_ss11 --time 60:00 --constraint gpu -c 1 -G 8 --gpus-per-task 1 --account=m4142_g
$ ./run_all_perlmutter.sh

About DM-Sim

DM-Sim is implemented in C++/CUDA/HIP for general density-matrix quantum circuit simulation with noise. It needs to load backend device calibration data (including topology, T1, T2, SPAM, etc.) as a json file for runtime configuration to the simulator instance.
We use an array to store the internal gate representations and perform density matrix gate fusion (with more restrictions compared to state-vector) for advanced performance.

alt text

Noisy Simulation for IBMQ devices

DM-Sim supports the following basis quantum gates for IBMQ devices:

Gate Format Meaning
X X(q) Pauli-X gate on qubit q
ID ID(q) Identiy gate on qubit q
SX SX(q) sqrt(X) gate on qubit q, a basis gate for IBMQ
RZ RZ(theta, q) Rotate around Z axis for qubit q
CX CX(ctrl, q) CNOT or Controlled X gate on qubit q

Noisy Simulation for Rigetti devices

Gate Format Meaning
RX
RZ
CX

Noisy Simulation for IonQ devices

Gate Format Meaning
GPI
GPI2
GZ
MS

Noisy Simulation for Quantinuum devices

Gate Format Meaning
RX
RZ
ZZ

Internally, it supports arbitrary 1 or 2 qubit gates for optimization and extension to support new gates:

Gate Format Meaning
C2 C2(array of 0-15) Arbitrary density-matrix 1-qubit gate
C4 C4(array of 0-255) Arbitrary density-matrix 2-qubit gate

Prerequisite

DM-Sim generally only requires a C++ compiler. However, in order to build for GPUs or scaling (up and out) or using other APIs (python, qir, qiskit), we need the following libraries:

Dependency Version Comments
CUDA 11.0 or later NVIDIA GPU backend only
GCC 7.0 or later Or other native C++ compiler
OpenMP Local single-node only
MPI Local CPU multi-node only
NVSHMEM 2.6.0 NVIDIA GPU cluster scale-out only
Python 3.4 Python API only
Pybind11 2.5.0 Python API only
mpi4py 3.0.3 Python API on cluster only
ROCM 3.1.0 AMD GPU only
Qiskit 0.20.0 Qiskit interface only
Q# runtime Local Q#/QIR interface only

Configure and run on ORNL Summit Supercomputer

$ git clone https://github.com/qir-alliance/nwqsim.git 
$ cd nwqsim/env

You need to update the env file “setup_summit.sh”, specify the nvshmem path at the end of the LD_LIBRARY_PATH. If you use Q#/QIR, you need to configure the qsharp runtime paths

$ source setup_summit.sh
$ cd ../dmsim/qasm/ibmq_bench/
$ vim Makefile

You need to update the Makefile here, mainly the path to NVSHMEM, the GPU arch number, and the project number in run_all.lsf

$ make -j 8
$ bsub run_all.lsf

Alternatively, you can allocate an interactive job and execute

$ bsub -Is -W 20 -nnodes 2 -P CSCXXX  $SHELL
$ ./run_all

Configure and run on NERSC Perlmutter Supercomputer

$ git clone https://github.com/qir-alliance/nwqsim.git 
$ cd nwqsim/env

You need to update the env file “setup_perlmutter.sh”, specify the nvshmem path at the end of the LD_LIBRARY_PATH. If you use Q#/QIR, you need to configure the qsharp runtime paths

$ source setup_perlmutter.sh
$ cd ../qasm/ibmq_bench/
$ vim Makefile

You need to update the Makefile here, mainly the path to NVSHMEM.

$ make -j 8

Alternatively, you can allocate an interactive job and execute

$ ./run_all

Authors

Ang Li, Senior Computer Scientist, Pacific Northwest National Laboratory (PNNL)

Additionally, the following folks contribute the project:

  • Sriram Krishnamoorthy, Pacific Northwest National Laboratory
  • Bo Fang, Pacific Northwest National Laboratory
  • Muqing Zheng, Lehigh University and Pacific Northwest National Laboratory
  • Cassandra Granade, Microsoft
  • Martin Roetteler, Microsoft
  • Bettina Heim, Microsoft
  • Robin Kuzmin, Microsoft
  • Stefan Wernli, Microsoft
  • Guen Prawiroatmodjo, Microsoft
  • Alan Geller, Microsoft
  • Samuel Stein, Pacific Northwest National Laboratory
  • Thien Nguyen, Oak Ridge National Laboratory

Citation format

Please cite our SC'20 and SC'21 papers:

  • Ang Li, Bo Fang, Christopher Granade, Guen Prawiroatmodjo, Bettina Heim, Martin Roetteler and Sriram Krishnamoorthy, "SV-Sim: Scalable PGAS-based State Vector Simulation of Quantum Circuits" In Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, 2021.
  • Ang Li, Omer Subasi, Xiu Yang, and Sriram Krishnamoorthy. "Density Matrix Quantum Circuit Simulation via the BSP Machine on Modern GPU Clusters." In Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, 2020.

Bibtex:

@inproceedings{li2021svsim,
    title={SV-Sim: Scalable PGAS-based State Vector Simulation of Quantum Circuits},
    author={Li, Ang and Fang, Bo and Granade, Christopher and Prawiroatmodjo, Guen and Hein, Bettina and Rotteler, Martin and Krishnamoorthy, Sriram},
    booktitle={Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis},
    year={2021}
}
@inproceedings{li2020density,
    title={Density Matrix Quantum Circuit Simulation via the BSP Machine on Modern GPU Clusters},
    author={Li, Ang and Subasi, Omer and Yang, Xiu and Krishnamoorthy, Sriram},
    booktitle={Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis},
    year={2020}
}

License

This project is licensed under the MIT License, see LICENSE file for details.

Acknowledgments

PNNL-IPID: 32166-E, ECCN: EAR99, IR: PNNL-SA-161181

This project is fully supported by the Quantum Science Center (QSC).The Pacific Northwest National Laboratory (PNNL) is operated by Battelle for the U.S. Department of Energy (DOE) under contract DE-AC05-76RL01830.

Contributing

Please contact us If you'd like to contribute to SV-Sim. See the contact in our paper or my webpage.

About

High-performance simulator for executing QIR on GPU and CPU backends

License:MIT License


Languages

Language:LLVM 65.0%Language:Cuda 18.6%Language:C++ 15.1%Language:Python 0.9%Language:Makefile 0.2%Language:CMake 0.1%Language:Shell 0.0%