QuantumBFS
Official@quantumbfs · You have to measure
A group of quantum developers around Bao Fu Si (Temple). We will also be distributed somewhere in the world since we are quantum developers.
Agent Skills by QuantumBFS
Showing 47 vetted skills indexed across 1 GitHub repositories.
using-xdiag
Perform exact diagonalization on quantum many-body lattice systems with XDiag.jl.
using-qmbcertify
Compute certified bounds on ground-state properties of quantum spin systems via structured NPA hierarchy.
using-tenpy
Execute tensor network simulations with TeNPy for quantum many-body systems.
challenge-report
Generate structured HTML research reports from computational challenge run data.
solve
Execute quantum many-body simulations via Slurm or local scripts with verification checks.
using-cpmc-lab
Install, configure, and run CPMC-Lab MATLAB simulations for Hubbard model calculations.
scaling-fit
Perform finite-size scaling analysis on quantum observable data to extract critical exponents.
using-slurm
Submit, monitor, and diagnose Slurm cluster array jobs with pre-submit feasibility checks.
method-qcs
Select optimal simulation backends for quantum circuits based on memory and complexity.
parameter-scan
Automate multi-dimensional parameter sweeps for quantum system simulations.
beginner-training
Orchestrate a multi-track onboarding workflow for the quantum research harness.
using-mpskit
Simulate quantum many-body systems with MPSKit.jl for matrix product states.
cross-method-check
Validate quantum simulation results against independent computational methods at identical parameter points.
using-tensorcircuit-ng
Run differentiable quantum circuit simulations with TensorCircuit-NG and JAX.
quantum-model
Resolve quantum lattice model descriptions to canonical identifiers and model cards.
using-sse
Execute sign-free Stochastic Series Expansion simulations with Carlo.jl.
using-pepskit
Configure and execute 2D tensor network simulations with PEPSKit.jl and TensorKit.jl.
using-quantum-espresso
Automate Quantum ESPRESSO workflows for electron-phonon coupling and QMC orbital generation.
method-peps
Simulate 2D quantum lattice systems with PEPS and CTMRG contraction.
build-apptainer-image
Create and validate Apptainer container images for HPC compute nodes.
onboard
Configure quantum research environments and install required dependencies.
setup-julia
Configure Julia installations, package mirrors, and project environments.
take-challenge
Register research teams for quantum computing challenges via GitHub issues and pull requests.
find-docs
Retrieve software API documentation for scientific and physics computing packages.
Frequently Asked Questions About QuantumBFS
FAQPage SchemaWhat specific research tasks are enabled by these computational frameworks?▼
These frameworks enable exact diagonalization, tensor network simulations, variational quantum Monte Carlo, and stochastic series expansion for many-body lattice systems. Users can perform finite-size scaling, map phase diagrams, and validate results against certified lower bounds using structured polynomial optimization.
Which technical personas benefit from these simulation capabilities?▼
Computational physicists, quantum researchers, and HPC engineers focused on condensed matter systems benefit from these capabilities. The environment is designed for those requiring rigorous verification of quantum phases, Hamiltonian eigenvalues, and ground-state properties across diverse lattice geometries.
What are the prerequisites for running these quantum simulations?▼
Users require a configured Julia environment, access to HPC cluster resources via Slurm, and specific domain-linked packages such as ITensors.jl, MPSKit.jl, or PEPSKit.jl. Additionally, Apptainer container images are utilized to ensure consistent execution environments across distributed compute nodes.