quantum.harness
Guided quantum many-body simulations, verification, and paper reproduction
Instructs the agent to confirm the Hamiltonian setup before computing, route problems to the right model and method skills, verify results against limits and cross-method checks, and decide local versus cluster execution based on up-front cost estimates.
All Skills in This Repository (47)
Pure Emerald Level Indicatorsusing-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.
Frequently Asked Questions
FAQPage SchemaHow to install quantum.harness?▼
Run `npx skills add QuantumBFS/quantum.harness --all -g -y` in your terminal to install all skills globally. Then run `make skills` inside the repo to sync the skill set.
What quantum physics problems can it solve?▼
It handles ground-state and finite-temperature calculations for lattice models like Heisenberg, Hubbard, and PXP, using exact diagonalization, DMRG/MPS, PEPS, quantum Monte Carlo, VMC, and certified polynomial-optimization bounds.
Can it reproduce figures from research papers?▼
Yes. The reproduce-paper workflow reads the paper, confirms the model and settings with you, runs the calculation, and builds a side-by-side HTML report comparing your result to the published figure.
Does it support running on HPC clusters?▼
Yes. It estimates compute cost before running, submits and monitors Slurm jobs or array sweeps over SSH, and fetches results back with per-cell status reports.
Do I need to be a computational physics expert to use it?▼
No. A guided beginner-training track explains each step in plain language and waits for your confirmation, while expert-curated method cards supply the parameters and verification checks.
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