For questions please use the QMCPACK Google Group.

A list of releases made from GitHub can be browsed at Source code, including for the current development version, is available at

The latest nightly test status can be browsed at

QMCPACK Release v3.2.0 – 2017-09-21


This release provides a significant speed increase for many calculations. A C++11 compiler is now required. It is a recommended update.

QMCPACK updates

  • Major speedup for calculations using spline wavefunctions via initial implementation of “Structure of Arrays” data layout and improved algorithms. Enabled via -DENABLE_SOA=1. Benefits all CPU architectures. Many runs are doubled in speed. Not yet available for Gaussian-basis sets or for all observables and QMC methods. See writeup in manual for guidance.
  • A compiler supporting C++11 is now required.
  • DMC respects MaxCPUSecs parameter and will gracefully shut down and not start a new block if there is not sufficient estimated time to complete it.
  • Checkpointing code rewritten for robustness and performance at scale. Parallel as well as serial HDF5 supported and autodetected.
  • Improved beta-release of AFQMC code and documentation.
  • Backflow documentation and optimization tips added.
  • Correlated sampling VMC drivers reactivated.
  • Added carbon graphite performance test similar to CORAL benchmark.
  • Improvements to CMake and CTest usage.
  • Build instructions for NERSC, ALCF, and OLCF machines updated.
  • Latest manual PDF now available here


  • Significantly improved manual entry for “qmca” analysis tool, the main recommended tool for statistical analysis of QMCPACK data.
  • Added time step fitting tool “qfit” for timestep extrapolation. Uses jack-knife statistical technique.
  • Improved density file postprocessing.
  • Support for Makov-Payne corrections.

QMCPACK Release v3.1.1 – 2017-08-01


This is a bugfix release and recommended update.

QMCPACK updates

  • Added numerical tolerance to check of jastrow cutoff and Wigner Seitz radius.
  • CMake correctly configures when MPI is not present.
  • Improved support for test coverage measurements.
  • Added unit tests for some estimators.


  • IPython compatible exit handling (from Duy Le)

QMCPACK Release v3.1.0 – 2017-06-21


This release incorporates an improved DMC equilibration scheme, numerous bugfixes, small improvements, and significantly improved testing. It is a recommended update.

QMCPACK updates

  • Improved population control during DMC equilibration. Reduces variance on larger runs.
  • Bugfix: Real valued wavefunction GPU code gave incorrect result for some non-gamma twists that could be made real, e.g. X point. Complex code (QMC_COMPLEX=1) was always correct.
  • All particle move VMC and DMC algorithms enabled, tests added.
  • Reptation Monte Carlo (RMC) enabled, tests added.
  • Significantly improved AFQMC implementation.
  • Added NiO based VMC and DMC performance tests and description in manual. Wavefunction files accessed via QMC_DATA.
  • Added DMC tests with locality and t-moves approximations.
  • Added AFQMC tests.
  • Added test of real space QMC restart capabilities.
  • Added tests for several estimators.
  • Added unit test for DMC walker propagation, effective core potentials, and OhmmsPETE.
  • To avoid filesystem limitations, QMC_SYMLINK_TEST_FILES can be set to symlink (1) or copy test files (0).
  • Fixed mixed precision Ceperley force evaluation.
  • Many updated tests to improve statistical reliability. Removed flux estimator from short tests because they were not reliable enough.
  • Tests that rely on non-standard python modules that are not available are skipped.
  • Error trap jastrow factors with cutoff radii larger than Wigner Seitz radius.
  • Bugfix: Prevent users from adding correlation terms on non-existing electron pairs, e.g. up-down correlation terms when only up-spin particles are present.
  • Support for measuring test coverage and performing coverage runs with cmake and ctest.
  • Support for GCC7 and IBM XL (non Blue Gene) compiler.
  • Support selecting GPU microarchitecture via -DCUDA_ARCH=sm_35(default).
  • SummitDev IBM Minsky build recipe (Power8 + NVIDIA Pascal P100 GPUs).
  • Significantly updated optimizer description in manual, including excited state optimization.
  • Added description of using Intel MKL with non-Intel compilers in manual.
  • Added description of MPIEXEC and MPIEXEC_NUMPROCS_FLAG to manual for systems where MPI runner is non-standard.
  • Updated labs with correct pseudopotentials, basis set files.
  • Many updated error messages and warnings.

Known problems

  • AFQMC without MKL will fail, e.g. short-afqmc-N2_vdz-4-1 test fails.

NEXUS updates

  • Improved selection algorithm to obtain optimally tiled supercells.
  • Support for parallel pw2qmcpack workflows.
  • Support for HPC resources at the Leibniz Supercomputing Center.
  • Better consistency checks for the Structure class.
  • Bugfix: forbid job bundling for simulations that depend on each other.
  • Bugfix: correctly select low spin polarization in primitive and tiled (net_spin=”low” option).