{
  "schema": "capability_probe_receipt_v1",
  "generated_at_utc": "2026-06-21T04:51:09Z",
  "probe_summary": {
    "total_probes": 9,
    "functional": 9,
    "failed": 0
  },
  "results": {
    "quantum": [
      {
        "slot": "photonic_slos",
        "package": "perceval-quandela",
        "version": "1.2.3",
        "import_ok": true,
        "functional_ok": true,
        "test_detail": "BS probabilities: {|0,1>: 0.8535533905932737, |1,0>: 0.14644660940672624}",
        "error": "",
        "elapsed_s": 0.536
      },
      {
        "slot": "bosonic_tn",
        "package": "quimb",
        "version": "1.14.0",
        "import_ok": true,
        "functional_ok": true,
        "test_detail": "contracted 2 tensors, result shape=(2, 2)",
        "error": "",
        "elapsed_s": 0.194
      },
      {
        "slot": "qaoa_cirq",
        "package": "cirq",
        "version": "1.6.1",
        "import_ok": true,
        "functional_ok": true,
        "test_detail": "simulated 1 outcomes",
        "error": "",
        "elapsed_s": 0.231
      },
      {
        "slot": "qaoa_qiskit",
        "package": "qiskit",
        "version": "2.4.2",
        "import_ok": true,
        "functional_ok": true,
        "test_detail": "simulated 2 distinct outcomes",
        "error": "",
        "elapsed_s": 0.074
      }
    ],
    "optimization": [
      {
        "slot": "mip_highs",
        "package": "highspy",
        "version": "",
        "import_ok": true,
        "functional_ok": true,
        "test_detail": "LP solved, obj=-6.00, x=[2.0, 2.0]",
        "error": "",
        "elapsed_s": 0.006
      },
      {
        "slot": "continuous_scipy",
        "package": "scipy.optimize",
        "version": "1.18.0",
        "import_ok": true,
        "functional_ok": true,
        "test_detail": "minimized to (-0.0000, 0.0000)",
        "error": "",
        "elapsed_s": 0.001
      },
      {
        "slot": "graph_networkx",
        "package": "networkx",
        "version": "3.6.1",
        "import_ok": true,
        "functional_ok": true,
        "test_detail": "K_5 diameter=1, path=[0, 4]",
        "error": "",
        "elapsed_s": 0.001
      }
    ],
    "compute": [
      {
        "slot": "gpu_wgpu",
        "package": "wgpu",
        "version": "0.31.0",
        "import_ok": true,
        "functional_ok": true,
        "test_detail": "adapter=<GPUAdapterInfo dict with vendor='NVIDIA', architecture='', device='NVIDIA GeForce RTX 4070 SUPER', description='610.43.02', stackgroup_min_size=4, stackgroup_max_size=128, vendor_id=4318, device_id=10115, adapter_type='DiscreteGPU', backend_type='Vulkan'>, type=?, backend=?",
        "error": "",
        "elapsed_s": 0.375
      },
      {
        "slot": "tensor_opt_einsum",
        "package": "opt_einsum",
        "version": "3.4.0",
        "import_ok": true,
        "functional_ok": true,
        "test_detail": "contraction shape=(2, 4), path=  Complete contraction:  ij,jk->ik\n         Naive scaling:  3\n     Optimized scaling:  3\n      Naive FLOP count:  4.800e+1\n  Optimized FLOP count:  4.800e+1\n   Theoretical speedup:  1.000e+0\n  Largest intermediate:  8.000e+0 elements\n--------------------------------------------------------------------------------\nscaling        BLAS                current                             remaining\n--------------------------------------------------------------------------------\n   3           GEMM              jk,ij->ik                                ik->ik",
        "error": "",
        "elapsed_s": 0.0
      }
    ]
  },
  "available": {
    "photonic_slos": {
      "package": "perceval-quandela",
      "version": "1.2.3"
    },
    "bosonic_tn": {
      "package": "quimb",
      "version": "1.14.0"
    },
    "qaoa_cirq": {
      "package": "cirq",
      "version": "1.6.1"
    },
    "qaoa_qiskit": {
      "package": "qiskit",
      "version": "2.4.2"
    },
    "mip_highs": {
      "package": "highspy",
      "version": ""
    },
    "continuous_scipy": {
      "package": "scipy.optimize",
      "version": "1.18.0"
    },
    "graph_networkx": {
      "package": "networkx",
      "version": "3.6.1"
    },
    "gpu_wgpu": {
      "package": "wgpu",
      "version": "0.31.0"
    },
    "tensor_opt_einsum": {
      "package": "opt_einsum",
      "version": "3.4.0"
    }
  },
  "formulation_modes": [
    "bosonic_tensor_network",
    "qaoa_variational",
    "qubo_classical_mip",
    "qap_classical_mip",
    "photonic_slos",
    "continuous_optimization",
    "spectral_graph_pipeline",
    "gpu_vulkan_compute",
    "contraction_optimization"
  ],
  "directed_formulation_support": {
    "qap": {
      "available": true,
      "comment": "HiGHS handles asymmetric QAP natively (directed costs preserved in MIP)",
      "recommended": true,
      "solver": "highspy"
    },
    "qaoa": {
      "available": true,
      "comment": "QAOA on QUBO \u2014 asymmetry lost in x_i x_j = x_j x_i symmetrization",
      "recommended": false,
      "solver": "cirq"
    }
  },
  "claim_boundary": "capability-probe-only;no-decision-logic"
}