Scarola Research Group Virginia Tech · Theoretical quantum physics

Software & Open Science

Research software, reusable data resources, and open-science infrastructure supporting simulation, benchmarking, and training.

Scientific software

ALPS and reproducible computational physics

The group contributes to and helps shape open scientific software for quantum many-body physics. An important example is ALPS (Applications and Libraries for Physics Simulations), a long-running open-source ecosystem that supports simulations of strongly correlated quantum systems and broader community access to computational methods.

  • Open tools for simulation, benchmarking, and education
  • Support for community infrastructure and software sustainability
  • A bridge between research software, training, and reproducible workflows

ALPS project site →

Open data resource

QPatLib: reusable measurement-pattern data

QPatLib is a quantum measurement pattern library introduced to support scalable measurement-based quantum simulation. It is designed as a standardized resource for benchmarking and pattern optimization, and it provides reusable patterns for Pauli-string unitaries used in measurement-based quantum simulation workflows.

  • Standardized testbed for pattern-optimization protocols
  • Patterns intended for direct use on hardware and in benchmarking
  • Reusable data resource for future measurement-based workflows beyond quantum simulation

Read the QPatLib paper →

Methods

Computational toolkit

  • Exact diagonalization
  • DMRG and tensor-network approaches
  • Monte Carlo and hybrid workflows
  • Floquet and effective-Hamiltonian methods
Open science

What this means in practice

  • Reusable code and datasets wherever possible
  • Research outputs that support benchmarking and comparison
  • Tools that can be used by students and collaborators outside the group
Why it matters

Value beyond a single project

Software and reusable benchmark resources make the group’s work more visible, easier to adopt, and more durable. They also create training opportunities for those who want stronger computational and infrastructure skills.

Resources

Additional links to software repositories, documentation, and benchmark datasets can be added here as they become available.