Update performance method text

vm6502q · Oct 17, 2021 · 279174f · 279174f
1 parent d3ffbc2
commit 279174f
Showing 1 changed file with 1 addition and 1 deletion.
diff --git a/docs/performance.rst b/docs/performance.rst
@@ -37,7 +37,7 @@ Method
 
 This performance document is meant to be a simple, to-the-point, and preliminary digest of these results. These results were prepared with the generous financial support of the Unitary Fund. Our benchmark code is public, largely self-explanatory, and easily reproducible.
 
-100 timed trials of single and parallel gates were run for each qubit count between 4 and 28 qubits. Three tests were performed: the quantum Fourier transform, ("QFT"), random circuits constructed from a universal gate set, and an idealized approximation of Google's Sycamore chip benchmark, as per [Sycamore]_. The benchmarking code is available at `https://github.com/vm6502q/simulator-benchmarks <https://github.com/vm6502q/simulator-benchmarks>`_. Default build and runtime options were used for all candidates. **Notably, this means Qrack ran at single floating point accuracy whereas QCGPU and Qiskit ran at double floating point accuracy.**
+100 timed trials of single and parallel gates were run for each qubit count between 4 and 28 qubits. Three tests were performed: the quantum Fourier transform, ("QFT"), random circuits constructed from a universal gate set, and an idealized approximation of Google's Sycamore chip benchmark, as per [Sycamore]_. Additionally, parallel single qubits and random input CCX gates to 20 layer depth were chosen to highlight use cases Qrack is particularly well-suited for. The benchmarking code is available at `https://github.com/vm6502q/simulator-benchmarks <https://github.com/vm6502q/simulator-benchmarks>`_. Default build and runtime options were used for all candidates. **Notably, this means Qrack ran at single floating point accuracy whereas QCGPU and Qiskit ran at double floating point accuracy.** Also, all optional PyQrack "layers" were disabled for Sycamore circuits, as this led to a drastic improvement in performance.
 
 The same Alienware 17 laptop device was used for all benchmarks, (BIOS version 1.8.0, Intel(R) Core(TM) i9-10980HK CPU @ 2.40GHz, NVIDIA GeForce RTX 2070 Super). Benchmarks were collected from the week of October 3, 2021 through October 16, 2021.