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Pipeline run

c467cd6f-07de-4eb6-9810-5c5c2117b4ae

Pipeline LLM cost (USD)
API 1: $0.0032 API 2: $0.0005 API 3: $0.0000 Total: $0.0037

Client output enrichment

v2 Skill cluster · Nature of work · AI index · Tech stack maturity · Evidence · KRA description
SPARSE JD sources · ai_index: jd · nature_of_work: jd · tech_stack_maturity: jd
Nature of work · Quantum Algorithms
Develop and benchmark near-term quantum algorithms like VQE/QAOA in Qiskit or Cirq on real QPUs, using strong linear algebra and numerical methods to tune hybrid quantum-classical workflows.
"published work on near-term quantum algorithms (VQE, QAOA, fault-tolerant variants)"
Tech stack maturity
Mainstream Modern
AI index (0 = no AI use, 5 = totally AI-dependent · v2.1)
0.00 / 5
· Title match
· Has AI skill
· AI skill (primary)
· AI skill (secondary)
· On AI team
· Builds AI products
vocab breakdown (legacy)
Assistants (×1):
Frameworks (×2):
Models / concepts (×3):
Evidence — skills matched in JD (13)
Quantum Algorithms VQE QAOA Qiskit Cirq IBM Quantum IonQ Quantinuum Linear Algebra Numerical Methods QASM Pulse Hybrid Quantum-Classical Hyperparameter Tuning
Skill cluster (1 dimension groups, role-scoped)
Cross-cutting / unaligned
Quantum Algorithms VQE QAOA Qiskit Cirq IBM Quantum IonQ Quantinuum Linear Algebra Numerical Methods QASM Pulse Hybrid Quantum-Classical Hyperparameter Tuning
Show KRA description ↓
We're a small but ambitious team. Apply if you have published work on near-term quantum algorithms (VQE, QAOA, fault-tolerant variants), comfortable in Qiskit / Cirq, and have benchmarked algorithms on real QPUs (IBM Quantum, IonQ, Quantinuum). Strong linear algebra + numerical methods background required. Experience with QASM, Pulse-level control, or hybrid quantum-classical hyperparameter tuning is a plus.

Signals

Skill
Alias quantum-computing-engineer
1.00
KRA cybersecurity-engineer
0.28

Post-classification

Centroidupdated · n=4
Alias collision log
New-role queue
New skills captured13
New KRA capturedyes

Captured for admin review

Quantum Algorithms primary Quantum Computing Engineer pending
VQE primary Quantum Computing Engineer pending
QAOA primary Quantum Computing Engineer pending
Qiskit primary Quantum Computing Engineer pending
Cirq primary Quantum Computing Engineer pending
IBM Quantum primary Quantum Computing Engineer pending
IonQ primary Quantum Computing Engineer pending
Quantinuum primary Quantum Computing Engineer pending
Linear Algebra primary Quantum Computing Engineer pending
Numerical Methods primary Quantum Computing Engineer pending
QASM Quantum Computing Engineer pending
Pulse Quantum Computing Engineer pending
Hybrid Quantum-Classical Hyperparameter Tuning Quantum Computing Engineer pending
R&R fragment (sim 0.00) Quantum Computing Engineer pending

We're a small but ambitious team. Apply if you have published work on near-term quantum algorithms (VQE, QAOA, fault-tolerant variants), comfortable in Qiskit / Cirq, and have benchmarked algorithms o…

Status: completed Created: 2026-05-24T23:59:03.783068Z Updated: 2026-05-24T23:59:19.415031Z API 3 duration: 968 ms
Flow Current 3-step pipeline

1 POST /skills/extract-from-jd

2 POST /skills/extract-details

3 POST /skills/final-role-output

Role Chosen role & resolution

Quantum Computing Engineer

CASE A

slug: quantum-computing-engineer · id: 213 · source: db

Exact alias hit on quantum-computing-engineer (1.0) — no other alias at this confidence; skill_top absent does not contradict

Resolution: in_db — role exists in library; skill↔dim and role↔dim links saved when applicable.

0
New skills
0
Skill↔dim saved
0
Role↔dim saved
0
Skipped

Job description

Senior Quantum Algorithms Engineer — full-time role, hybrid (Bengaluru).

We're a small but ambitious team. Apply if you have published work on near-term quantum algorithms (VQE, QAOA, fault-tolerant variants), comfortable in Qiskit / Cirq, and have benchmarked algorithms on real QPUs (IBM Quantum, IonQ, Quantinuum). Strong linear algebra + numerical methods background required. Experience with QASM, Pulse-level control, or hybrid quantum-classical hyperparameter tuning is a plus.

Skills from this JD

Each row merges API 1 extraction, API 2 library match / v3 orchestration (dimensions + locked dims), and API 3 persistence tags.

Quantum Algorithms Primary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).

Derived legacy fields
Category
Concepts
Sub-category
general
Skill nature
CONCEPT
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
VQE Primary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).

Derived legacy fields
Category
Concepts
Sub-category
general
Skill nature
CONCEPT
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
QAOA Primary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).

Derived legacy fields
Category
Concepts
Sub-category
general
Skill nature
CONCEPT
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Qiskit Primary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).

Derived legacy fields
Category
Tools
Sub-category
general
Skill nature
TOOL
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Cirq Primary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).

Derived legacy fields
Category
Tools
Sub-category
general
Skill nature
TOOL
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
IBM Quantum Primary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).

Derived legacy fields
Category
Platforms
Sub-category
general
Skill nature
PLATFORM
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
IonQ Primary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).

Derived legacy fields
Category
Platforms
Sub-category
general
Skill nature
PLATFORM
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Quantinuum Primary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).

Derived legacy fields
Category
Platforms
Sub-category
general
Skill nature
PLATFORM
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Linear Algebra Primary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).

Derived legacy fields
Category
Concepts
Sub-category
general
Skill nature
CONCEPT
Volatility
STABLE
Typical lifespan
EVERGREEN
Version strategy
UNVERSIONED
Numerical Methods Primary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).

Derived legacy fields
Category
Concepts
Sub-category
general
Skill nature
CONCEPT
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
QASM Secondary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).

Derived legacy fields
Category
Concepts
Sub-category
general
Skill nature
CONCEPT
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Pulse Secondary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).

Derived legacy fields
Category
Tools
Sub-category
general
Skill nature
TOOL
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Hybrid Quantum-Classical Hyperparameter Tuning Secondary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).

Derived legacy fields
Category
Practices
Sub-category
general
Skill nature
PRACTICE
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED

Library artifacts (this run)

Kind Detail DB id
canonical_skill_proposed Quantum Algorithms | type=Concepts subtype=general nature=CONCEPT lifespan=MULTI_YEAR
canonical_skill_proposed VQE | type=Concepts subtype=general nature=CONCEPT lifespan=MULTI_YEAR
canonical_skill_proposed QAOA | type=Concepts subtype=general nature=CONCEPT lifespan=MULTI_YEAR
canonical_skill_proposed Qiskit | type=Tools subtype=general nature=TOOL lifespan=MULTI_YEAR
canonical_skill_proposed Cirq | type=Tools subtype=general nature=TOOL lifespan=MULTI_YEAR
canonical_skill_proposed IBM Quantum | type=Platforms subtype=general nature=PLATFORM lifespan=MULTI_YEAR
canonical_skill_proposed IonQ | type=Platforms subtype=general nature=PLATFORM lifespan=MULTI_YEAR
canonical_skill_proposed Quantinuum | type=Platforms subtype=general nature=PLATFORM lifespan=MULTI_YEAR
canonical_skill_proposed Linear Algebra | type=Concepts subtype=general nature=CONCEPT lifespan=EVERGREEN
canonical_skill_proposed Numerical Methods | type=Concepts subtype=general nature=CONCEPT lifespan=MULTI_YEAR
canonical_skill_proposed QASM | type=Concepts subtype=general nature=CONCEPT lifespan=MULTI_YEAR
canonical_skill_proposed Pulse | type=Tools subtype=general nature=TOOL lifespan=MULTI_YEAR
canonical_skill_proposed Hybrid Quantum-Classical Hyperparameter Tuning | type=Practices subtype=general nature=PRACTICE lifespan=MULTI_YEAR
nano JD Parser — gpt-4.1-nano click to toggle
RoleSenior Quantum Algorithms Engineer
DomainOther
Location Bengaluru, India (hybrid)
JD type pass
Show raw JSON
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      "word_count": 64
    }
  ],
  "urls": []
}
API 1 — extract-from-jd click to toggle
{
  "final_skills": [
    {
      "is_primary": true,
      "skill_name": "Quantum Algorithms"
    },
    {
      "is_primary": true,
      "skill_name": "VQE"
    },
    {
      "is_primary": true,
      "skill_name": "QAOA"
    },
    {
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    },
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    },
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      "skill_name": "IBM Quantum"
    },
    {
      "is_primary": true,
      "skill_name": "IonQ"
    },
    {
      "is_primary": true,
      "skill_name": "Quantinuum"
    },
    {
      "is_primary": true,
      "skill_name": "Linear Algebra"
    },
    {
      "is_primary": true,
      "skill_name": "Numerical Methods"
    },
    {
      "is_primary": false,
      "skill_name": "QASM"
    },
    {
      "is_primary": false,
      "skill_name": "Pulse"
    },
    {
      "is_primary": false,
      "skill_name": "Hybrid Quantum-Classical Hyperparameter Tuning"
    }
  ],
  "jd_role": {
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  "nano_parsed": {
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    "kra_match_roles": [
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        "display_name": "Cyber Security Engineer",
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            "similarity": 0.2772
          },
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            "kra_text": "Performs threat modeling, security architecture reviews, and quantitative risk analysis for new product features and infrastructure changes.",
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            "similarity": 0.3098
          },
          {
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  "stage4_decision": {
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      "score": 1.0,
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    "matched_dimensions": [],
    "matched_kras": [],
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    "new_role_display_name": null,
    "new_role_slug": null,
    "queued": false,
    "reasoning": "Exact alias hit on quantum-computing-engineer (1.0) \u2014 no other alias at this confidence; skill_top absent does not contradict",
    "sub_role": null
  },
  "stage5_updates": {
    "centroid_n_after": 4,
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    "new_kra_attached": {
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      "r_and_r_preview": "We\u0027re a small but ambitious team. Apply if you have published work on near-term quantum algorithms (VQE, QAOA, fault-tolerant variants), comfortable in Qiskit / Cirq, and have benchmarked algorithms o",
      "role_display_name": "Quantum Computing Engineer",
      "role_slug": "quantum-computing-engineer",
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    },
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        "is_primary": true,
        "queue_id": 3530,
        "role_display_name": "Quantum Computing Engineer",
        "role_slug": "quantum-computing-engineer",
        "skill_name": "Quantum Algorithms",
        "status": "pending"
      },
      {
        "is_primary": true,
        "queue_id": 3531,
        "role_display_name": "Quantum Computing Engineer",
        "role_slug": "quantum-computing-engineer",
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        "status": "pending"
      },
      {
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        "queue_id": 3532,
        "role_display_name": "Quantum Computing Engineer",
        "role_slug": "quantum-computing-engineer",
        "skill_name": "QAOA",
        "status": "pending"
      },
      {
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        "queue_id": 3533,
        "role_display_name": "Quantum Computing Engineer",
        "role_slug": "quantum-computing-engineer",
        "skill_name": "Qiskit",
        "status": "pending"
      },
      {
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        "queue_id": 3534,
        "role_display_name": "Quantum Computing Engineer",
        "role_slug": "quantum-computing-engineer",
        "skill_name": "Cirq",
        "status": "pending"
      },
      {
        "is_primary": true,
        "queue_id": 3535,
        "role_display_name": "Quantum Computing Engineer",
        "role_slug": "quantum-computing-engineer",
        "skill_name": "IBM Quantum",
        "status": "pending"
      },
      {
        "is_primary": true,
        "queue_id": 3536,
        "role_display_name": "Quantum Computing Engineer",
        "role_slug": "quantum-computing-engineer",
        "skill_name": "IonQ",
        "status": "pending"
      },
      {
        "is_primary": true,
        "queue_id": 3537,
        "role_display_name": "Quantum Computing Engineer",
        "role_slug": "quantum-computing-engineer",
        "skill_name": "Quantinuum",
        "status": "pending"
      },
      {
        "is_primary": true,
        "queue_id": 3538,
        "role_display_name": "Quantum Computing Engineer",
        "role_slug": "quantum-computing-engineer",
        "skill_name": "Linear Algebra",
        "status": "pending"
      },
      {
        "is_primary": true,
        "queue_id": 3539,
        "role_display_name": "Quantum Computing Engineer",
        "role_slug": "quantum-computing-engineer",
        "skill_name": "Numerical Methods",
        "status": "pending"
      },
      {
        "is_primary": false,
        "queue_id": 3540,
        "role_display_name": "Quantum Computing Engineer",
        "role_slug": "quantum-computing-engineer",
        "skill_name": "QASM",
        "status": "pending"
      },
      {
        "is_primary": false,
        "queue_id": 3541,
        "role_display_name": "Quantum Computing Engineer",
        "role_slug": "quantum-computing-engineer",
        "skill_name": "Pulse",
        "status": "pending"
      },
      {
        "is_primary": false,
        "queue_id": 3542,
        "role_display_name": "Quantum Computing Engineer",
        "role_slug": "quantum-computing-engineer",
        "skill_name": "Hybrid Quantum-Classical Hyperparameter Tuning",
        "status": "pending"
      }
    ],
    "queue_entry_id": null,
    "v3_pipeline_triggered": false,
    "v3_role_slug": null,
    "v3_run_id": null
  }
}
API 2 — extract-details
{
  "alias_matches": [],
  "candidate_roles": [],
  "chosen_role": {
    "display_name": "Quantum Computing Engineer",
    "id": null,
    "rationale": "Exact alias hit on quantum-computing-engineer (1.0) \u2014 no other alias at this confidence; skill_top absent does not contradict",
    "role_archetype": "Engineering",
    "slug": "quantum-computing-engineer",
    "source": "llm"
  },
  "dimensions": [],
  "input_final_skills": [
    "Quantum Algorithms",
    "VQE",
    "QAOA",
    "Qiskit",
    "Cirq",
    "IBM Quantum",
    "IonQ",
    "Quantinuum",
    "Linear Algebra",
    "Numerical Methods",
    "QASM",
    "Pulse",
    "Hybrid Quantum-Classical Hyperparameter Tuning"
  ],
  "input_llm_skills": [
    "Quantum Algorithms",
    "VQE",
    "QAOA",
    "Qiskit",
    "Cirq",
    "IBM Quantum",
    "IonQ",
    "Quantinuum",
    "Linear Algebra",
    "Numerical Methods",
    "QASM",
    "Pulse",
    "Hybrid Quantum-Classical Hyperparameter Tuning"
  ],
  "new_aliases_persisted": 0,
  "run_id": "c467cd6f-07de-4eb6-9810-5c5c2117b4ae",
  "skills_detail": [
    {
      "aliases_in_db": [],
      "canonical": null,
      "dimensions": [],
      "input_skill": "Quantum Algorithms",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "Concepts",
          "skill_nature": "CONCEPT",
          "sub_category": "general",
          "typical_lifespan": "MULTI_YEAR",
          "version_strategy": "UNVERSIONED",
          "volatility": "MEDIUM"
        },
        "enrichment": null,
        "keep_log": [],
        "locked_dimensions": [],
        "merge_log": [],
        "placed": null,
        "relationships": null,
        "skill_id": "quantum-algorithms",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [],
      "canonical": null,
      "dimensions": [],
      "input_skill": "VQE",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "Concepts",
          "skill_nature": "CONCEPT",
          "sub_category": "general",
          "typical_lifespan": "MULTI_YEAR",
          "version_strategy": "UNVERSIONED",
          "volatility": "MEDIUM"
        },
        "enrichment": null,
        "keep_log": [],
        "locked_dimensions": [],
        "merge_log": [],
        "placed": null,
        "relationships": null,
        "skill_id": "vqe",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [],
      "canonical": null,
      "dimensions": [],
      "input_skill": "QAOA",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "Concepts",
          "skill_nature": "CONCEPT",
          "sub_category": "general",
          "typical_lifespan": "MULTI_YEAR",
          "version_strategy": "UNVERSIONED",
          "volatility": "MEDIUM"
        },
        "enrichment": null,
        "keep_log": [],
        "locked_dimensions": [],
        "merge_log": [],
        "placed": null,
        "relationships": null,
        "skill_id": "qaoa",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [],
      "canonical": null,
      "dimensions": [],
      "input_skill": "Qiskit",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "Tools",
          "skill_nature": "TOOL",
          "sub_category": "general",
          "typical_lifespan": "MULTI_YEAR",
          "version_strategy": "UNVERSIONED",
          "volatility": "MEDIUM"
        },
        "enrichment": null,
        "keep_log": [],
        "locked_dimensions": [],
        "merge_log": [],
        "placed": null,
        "relationships": null,
        "skill_id": "qiskit",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [],
      "canonical": null,
      "dimensions": [],
      "input_skill": "Cirq",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "Tools",
          "skill_nature": "TOOL",
          "sub_category": "general",
          "typical_lifespan": "MULTI_YEAR",
          "version_strategy": "UNVERSIONED",
          "volatility": "MEDIUM"
        },
        "enrichment": null,
        "keep_log": [],
        "locked_dimensions": [],
        "merge_log": [],
        "placed": null,
        "relationships": null,
        "skill_id": "cirq",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [],
      "canonical": null,
      "dimensions": [],
      "input_skill": "IBM Quantum",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "Platforms",
          "skill_nature": "PLATFORM",
          "sub_category": "general",
          "typical_lifespan": "MULTI_YEAR",
          "version_strategy": "UNVERSIONED",
          "volatility": "MEDIUM"
        },
        "enrichment": null,
        "keep_log": [],
        "locked_dimensions": [],
        "merge_log": [],
        "placed": null,
        "relationships": null,
        "skill_id": "ibm-quantum",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [],
      "canonical": null,
      "dimensions": [],
      "input_skill": "IonQ",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "Platforms",
          "skill_nature": "PLATFORM",
          "sub_category": "general",
          "typical_lifespan": "MULTI_YEAR",
          "version_strategy": "UNVERSIONED",
          "volatility": "MEDIUM"
        },
        "enrichment": null,
        "keep_log": [],
        "locked_dimensions": [],
        "merge_log": [],
        "placed": null,
        "relationships": null,
        "skill_id": "ionq",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [],
      "canonical": null,
      "dimensions": [],
      "input_skill": "Quantinuum",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "Platforms",
          "skill_nature": "PLATFORM",
          "sub_category": "general",
          "typical_lifespan": "MULTI_YEAR",
          "version_strategy": "UNVERSIONED",
          "volatility": "MEDIUM"
        },
        "enrichment": null,
        "keep_log": [],
        "locked_dimensions": [],
        "merge_log": [],
        "placed": null,
        "relationships": null,
        "skill_id": "quantinuum",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [],
      "canonical": null,
      "dimensions": [],
      "input_skill": "Linear Algebra",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "Concepts",
          "skill_nature": "CONCEPT",
          "sub_category": "general",
          "typical_lifespan": "EVERGREEN",
          "version_strategy": "UNVERSIONED",
          "volatility": "STABLE"
        },
        "enrichment": null,
        "keep_log": [],
        "locked_dimensions": [],
        "merge_log": [],
        "placed": null,
        "relationships": null,
        "skill_id": "linear-algebra",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [],
      "canonical": null,
      "dimensions": [],
      "input_skill": "Numerical Methods",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "Concepts",
          "skill_nature": "CONCEPT",
          "sub_category": "general",
          "typical_lifespan": "MULTI_YEAR",
          "version_strategy": "UNVERSIONED",
          "volatility": "MEDIUM"
        },
        "enrichment": null,
        "keep_log": [],
        "locked_dimensions": [],
        "merge_log": [],
        "placed": null,
        "relationships": null,
        "skill_id": "numerical-methods",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [],
      "canonical": null,
      "dimensions": [],
      "input_skill": "QASM",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "Concepts",
          "skill_nature": "CONCEPT",
          "sub_category": "general",
          "typical_lifespan": "MULTI_YEAR",
          "version_strategy": "UNVERSIONED",
          "volatility": "MEDIUM"
        },
        "enrichment": null,
        "keep_log": [],
        "locked_dimensions": [],
        "merge_log": [],
        "placed": null,
        "relationships": null,
        "skill_id": "qasm",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [],
      "canonical": null,
      "dimensions": [],
      "input_skill": "Pulse",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "Tools",
          "skill_nature": "TOOL",
          "sub_category": "general",
          "typical_lifespan": "MULTI_YEAR",
          "version_strategy": "UNVERSIONED",
          "volatility": "MEDIUM"
        },
        "enrichment": null,
        "keep_log": [],
        "locked_dimensions": [],
        "merge_log": [],
        "placed": null,
        "relationships": null,
        "skill_id": "pulse",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [],
      "canonical": null,
      "dimensions": [],
      "input_skill": "Hybrid Quantum-Classical Hyperparameter Tuning",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "Practices",
          "skill_nature": "PRACTICE",
          "sub_category": "general",
          "typical_lifespan": "MULTI_YEAR",
          "version_strategy": "UNVERSIONED",
          "volatility": "MEDIUM"
        },
        "enrichment": null,
        "keep_log": [],
        "locked_dimensions": [],
        "merge_log": [],
        "placed": null,
        "relationships": null,
        "skill_id": "hybrid-quantum-classical-hyperparameter-tuning",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    }
  ],
  "unmatched_skills": [
    "Quantum Algorithms",
    "VQE",
    "QAOA",
    "Qiskit",
    "Cirq",
    "IBM Quantum",
    "IonQ",
    "Quantinuum",
    "Linear Algebra",
    "Numerical Methods",
    "QASM",
    "Pulse",
    "Hybrid Quantum-Classical Hyperparameter Tuning"
  ]
}
API 3 — final-role-output
{
  "chosen_role": {
    "display_name": "Quantum Computing Engineer",
    "id": 213,
    "rationale": "Exact alias hit on quantum-computing-engineer (1.0) \u2014 no other alias at this confidence; skill_top absent does not contradict",
    "role_archetype": "Engineering",
    "slug": "quantum-computing-engineer",
    "source": "db"
  },
  "chosen_role_resolution": "in_db",
  "final_input_skills": [
    {
      "skill": "Quantum Algorithms",
      "tag": "new"
    },
    {
      "skill": "VQE",
      "tag": "new"
    },
    {
      "skill": "QAOA",
      "tag": "new"
    },
    {
      "skill": "Qiskit",
      "tag": "new"
    },
    {
      "skill": "Cirq",
      "tag": "new"
    },
    {
      "skill": "IBM Quantum",
      "tag": "new"
    },
    {
      "skill": "IonQ",
      "tag": "new"
    },
    {
      "skill": "Quantinuum",
      "tag": "new"
    },
    {
      "skill": "Linear Algebra",
      "tag": "new"
    },
    {
      "skill": "Numerical Methods",
      "tag": "new"
    },
    {
      "skill": "QASM",
      "tag": "new"
    },
    {
      "skill": "Pulse",
      "tag": "new"
    },
    {
      "skill": "Hybrid Quantum-Classical Hyperparameter Tuning",
      "tag": "new"
    }
  ],
  "llm_cost_api1_usd": null,
  "llm_cost_api2_usd": null,
  "llm_cost_api3_usd": null,
  "llm_cost_total_usd": null,
  "persistence": {
    "items": [],
    "new_skills_created": 0,
    "role_dimension_saved": 0,
    "skill_dimension_saved": 0,
    "skipped": 0
  },
  "planner_output": null,
  "run_id": "c467cd6f-07de-4eb6-9810-5c5c2117b4ae"
}

LLM Calls

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