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Hadron LSH Quantum Advantage Workbench

Local reproduction and comparison workspace for SU(2) hadron dynamics / LSH circuits, Fire Opal hardware runs, and tensor-network validation.

Project site: https://bramdo.github.io/hadron/

Contents

  • circuits/: downloaded QASM circuits used for the step comparisons.
  • data/: downloaded supporting data from the public LSH data repository.
  • results_fire_opal/: Fire Opal run plans, retrieved action outputs, and observable summaries.
  • results_tensor/: local Aer MPS, ITensor QASM-MPS, LSH dense/MPO validation, and quantum-win boundary reports.
  • hadron_fire_opal_runner.py: standalone Fire Opal API runner.
  • hadron_observable_analyzer.py: observable decoder for the final zigzag LSH mapping.
  • lsh_*.jl: Julia/ITensor scaffolds for LSH basis, local operators, Hamiltonian checks, link validation, MPO registry, and dense-vs-MPO smoke tests.
  • assess_majorana_feasibility.py: checks whether the downloaded QASM circuits fit an exact free-fermion Majorana/Gaussian simulator.

Current Claim Boundary

Use results_tensor/hadron_quantum_win_boundary.md for the current timing claim. The intended advantage comparison uses Fire Opal/IBM hardware-only time against the paper TN and Pauli-propagation baselines. Local LSH-MPO work is kept as physical Hamiltonian validation, not as the timing baseline.

results_tensor/hadron_majorana_feasibility.md records why the downloaded QASM circuits are not directly exact Majorana/Gaussian simulable under the standard free-fermion/matchgate criterion.

Runtimes

  • Python scripts use the local Python/WSL Qiskit environment documented in HADRON_FIRE_OPAL.md.
  • Julia scripts use Julia with ITensors.jl and ITensorMPS.jl.

Credentials are read from environment variables or local Qiskit config at run time and are not stored in this repository.

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