Quantum Race between US, China and EU

This article is taken from Where does EU stand in the quantum computing race with China and US?

Researchers at the University of Innsbruck have built the smallest quantum computer yet, prompting questions if European outfits can take on the leading pack.

A notable feature of the compact quantum computer is its low power consumption, which stands at 1.5 kilowatts – the same amount of energy needed to power a kettle. “Indeed, such is its low power consumption, that the researchers in the University of Innsbruck are exploring how to power the device using solar panels.”

Another decisive factor for the industrial use of quantum computers is the number of available qubits. The Innsbruck physicists were able to run the quantum computer with 24 fully functional qubits – individually controlling and entangling 24 trapped ions with their device – meeting a recent target set by the German government with surprising speed.

Where does EU stand in the quantum computing race with China and US?

Software Rendering Mode for Fluent Launcher

When running Fluent from inside ANSYS Workbench on Linux. Hardware graphics rendering can fail and the Fluent application failed to start. This error can sometimes be prevented by switching to the software rendering mode. There are 2 approaches

Before Running Workbench, you may want to put this in your BASH Shell

% export HOOPS_PICTURE=x11/lin

In C Shell

% setenv HOOPS_PICTURE x11/lin

If you are using Fluent Launcher


Open a Fluent set of cells
Right Click the Fluent setup cell and choose, edit
In the resulting Fluent launcher, choose +, Show More Options
Select the Environment tab
Add the following entry

The Future of Power-Efficient Datacenters

Submer is not only obsessed with Immersion Cooling, but also looks at the entire ecosystem surrounding datacenters for possible points of optimization. In this educational and informative webinar, we were joined by John Laban, from the Open Compute Project Foundation (OCP).

John helped us identify all points of electricity waste in the delivery of power to datacenters and HPC installations.

VMware-NVIDIA AI-Ready Enterprise platform

NVIDIA and VMware have formed a strategic partnership to transform the data center to bring AI and modern workloads to every enterprise.

NVIDIA AI Enterprise is an end-to-end, cloud-native suite of  AI and data analytics software, optimized, certified, and supported by NVIDIA to run on VMware vSphere with NVIDIA-Certified  Systems. It includes key enabling technologies  from NVIDIA for rapid deployment, management, and scaling of AI workloads in the modern hybrid cloud.

For more information, see NVIDIA AI Enterprise

Paraview and OpenGL

After you enter the command “paraview” and If you are encountering errors like “Your OpenGL drivers don’t support required OpenGL, features for basic rendering. Applications cannot continue. Please exit and use an older version. CONTINUE AT YOUR OWN RISK! OpenGL Vendor: Information Unavailable, OpenGL Version: Information Unavailable OpenGL Renderer: Information Unavailable.

The output messages shows

  • “Unable to find a valid OpenGL 3.2 or later…
  • failed to create offscreen window
  • GLEW could not be initialized

To resolve the issue, do run the command, to bypass hardware acceleration

% paraview --mesa


/bin/rm : Argument list too long

I was trying to delete the files in the folder that has more than 90,000. When I delete the files, I had errors

% /bin/rm : Argument list too long

The issue is that there are too many files and rm is not able to clear. To workaround the issues, you can do the following. Make sure you are in the directory where you want to clear the file.

 % find . -name '*' | xargs rmfind . -name '*' | xargs rm


Compiling USER-GFMD to LAMMPS-10Mar21 with OpenMPI and GNU


  • openmpi-3.1.4
  • gnu-6.5
  • m4-1.4.18
  • gmp-6.1.0
  • mpfr-3.1.4
  • mpc-1.0.3
  • isl-0.18
  • gsl-2.1
  • python-3.6.9
  • fftw-3.3.8

Download the lammps.10Mar2021.tar.gz from https://download.lammps.org/tars/

Step 1: Untar LAMMPS

% tar -zxvf lammps-10Mar2021.tar.gz

Step 2: Go to $LAMMPS_HOME/src. Make Packages. I will only need kspace and USER-GFMD.

% make yes-kspace
% make pi
% make ps

Step 3: Preparing Green’s function molecular dynamics (GFMD) code on LAMMPS. For more information on the website, https://github.com/Atomistica/user-gfmd

% git clone https://github.com/Atomistica/user-gfmd.git

You should see a directory called user-gfmd in your $LAMMPS_HOME. Rename it to uppercase

% mv user-gfmd USER-GFMD

Copy the USER-GDMD to the $LAMMPS_HOME/src and
Make the package

% cp USER-GFMD to src
% make yes-user-gfmd

Step 4: Edit the Makefile.g++_openmpi

% vim $LAMMPS_HOME/src/MAKE/OPTIONS/Makefile.g++_openmpi
FFT_INC =       -DFFT_FFTW3 -I/usr/local/fftw-3.3.8-gcc6/include
FFT_PATH =      -L/usr/local/fftw-3.3.8-gcc6/lib
FFT_LIB =        -lfftw3

The -DFFT_FFTW3 was important or I will get error like

mpicxx -std=c++11 -g -O3 -DLAMMPS_GZIP -DGFMD_FFTW3 -DMPICH_SKIP_MPICXX -DOMPI_SKIP_MPICXX=1 -I/usr/local/fftw-3.3.8-gcc6/include -c ../nonperiodic_stiffness.cpp
../nonperiodic_stiffness.cpp:199:4: error: #error NonperiodicStiffnessKernel requires FFTW3
#error NonperiodicStiffnessKernel requires FFTW3
make[1]: *** [nonperiodic_stiffness.o] Error 1

Step 5: Compile LAMMPS

% make clean-all
% make g++_openmpi

You should have binary called lmp_g++_openmpi. Do a softlink

% ln -s lmp_g++_openmpi lammps

Make and Run USER-GFMD Units Tests

% cd src/USER-GFMD/
% make unittests
% ./unittests
[==========] Running 23 tests from 5 test cases.
[----------] Global test environment set-up.
[----------] 5 tests from CrystalSurfaceTest
[ RUN      ] CrystalSurfaceTest.fcc100
[       OK ] CrystalSurfaceTest.fcc100 (0 ms)
[ RUN      ] CrystalSurfaceTest.fcc100_supercell
[       OK ] CrystalSurfaceTest.fcc100_supercell (11 ms)
[ RUN      ] CrystalSurfaceTest.reverse_indices
[       OK ] CrystalSurfaceTest.reverse_indices (0 ms)
[ RUN      ] CrystalSurfaceTest.fcc100_3nn
[       OK ] CrystalSurfaceTest.fcc100_3nn (0 ms)
[ RUN      ] CrystalSurfaceTest.fcc100_neighbor_shells
[       OK ] CrystalSurfaceTest.fcc100_neighbor_shells (0 ms)
[----------] 5 tests from CrystalSurfaceTest (12 ms total)

Run Tests

% cd src/USER-GFMD/tests
% sh run_tests.sh ../../lmp_g++_openmpi

I had some errors, but it did not look critical. Tests were run without failures

eval.py:83: RuntimeWarning: invalid value encountered in sqrt
  pa_xy = np.where(r_xy<a, p0*np.sqrt(1-(r_xy/a)**2), np.zeros_like(r_xy))
Ran 20 tests; 0 failures, 20 successes.