Benchmark with ProjectQ

Benchmark with ProjectQ

ProjectQ is an open source software framework for quantum computing. Here we present the single process benchmark result

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From this benchmark, we see the performance of ProjectQ and Yao.jl are quite similar, both of them are close to the theoretical bound in performance.

ProjectQ is a state of art quantum simulator, it kept the record of 45 qubit quantum circuit simulation for several months: 4 It uses parallisms like SIMD, OpenMP, MPI to speed up calculation.

ProjectQ has C++ backend, while Yao.jl uses pure julia. Yao.jl has significantly less overhead than ProjectQ, which benefits from julia’s jit and multile dispatch.

In some benchmarks, like repeated blocks, Yao.jl can perform much better, this is an algorithmic win. Thanks to julia’s multiple dispatch, we can dispatch any advanced-speciallized algortihm to push the performance for frequently used gates easily, without touching the backend!

CPU Information

Architecture:          x86_64
CPU op-mode(s):        32-bit, 64-bit
Byte Order:            Little Endian
CPU(s):                48
On-line CPU(s) list:   0-47
Thread(s) per core:    2
Core(s) per socket:    12
Socket(s):             2
NUMA node(s):          2
Vendor ID:             GenuineIntel
CPU family:            6
Model:                 79
Stepping:              1
CPU MHz:               2499.921
BogoMIPS:              4401.40
Virtualization:        VT-x
L1d cache:             32K
L1i cache:             32K
L2 cache:              256K
L3 cache:              30720K
NUMA node0 CPU(s):     0-11,24-35
NUMA node1 CPU(s):     12-23,36-47


We use ProjectQ v0.3.6 in this benchmark, with python version 3.6.

Julia Version

Julia Version 0.7.0-alpha.147
Commit 5e3259e (2018-06-16 18:43 UTC)
Platform Info:
  OS: Linux (x86_64-linux-gnu)
  CPU: Intel(R) Xeon(R) CPU E5-2650 v4 @ 2.20GHz
  LIBM: libopenlibm
  LLVM: libLLVM-6.0.0 (ORCJIT, broadwell)