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pith:HEW4KX4R

pith:2025:HEW4KX4RRIRZXH4APC6MWUDRSB
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Learning to Maximize Quantum Neural Network Expressivity via Effective Rank

Juan Yao

Quantum neural networks achieve full expressivity when their circuits, data inputs, and measurements are all optimized to the theoretical maximum.

arxiv:2506.15375 v4 · 2025-06-18 · quant-ph · physics.comp-ph

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2 Internet Archive
3 Author claim open · sign in to claim
4 Citations open
5 Replications open
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The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same current state with the deterministic merge algorithm.

Claims

C1strongest claim

κ can saturate its theoretical upper bound, d_n=4^n-1, for an n-qubit system when each of the three factors (circuit architecture, input data distributions, and measurement protocols) is optimally expressive.

C2weakest assumption

That the count of effectively independent parameters (κ) directly corresponds to the functional expressivity that determines performance on variational tasks, rather than being a proxy that may miss other limiting factors such as trainability or noise.

C3one line summary

Introduces effective rank κ to quantify QNN expressivity and applies reinforcement learning with a transformer agent to optimize circuit architectures for higher κ.

Receipt and verification
First computed 2026-05-28T01:04:28.731758Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

392dc55f918a239b9f8078bccb5071904f6ed570c54ef3732af0eba81cd73607

Aliases

arxiv: 2506.15375 · arxiv_version: 2506.15375v4 · doi: 10.48550/arxiv.2506.15375 · pith_short_12: HEW4KX4RRIRZ · pith_short_16: HEW4KX4RRIRZXH4A · pith_short_8: HEW4KX4R
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/HEW4KX4RRIRZXH4APC6MWUDRSB \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 392dc55f918a239b9f8078bccb5071904f6ed570c54ef3732af0eba81cd73607
Canonical record JSON
{
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    "abstract_canon_sha256": "997a1e8637061037cbf2c14fcf698c48aad66f6ba3156165e4609f3b3bc74a3a",
    "cross_cats_sorted": [
      "physics.comp-ph"
    ],
    "license": "http://creativecommons.org/publicdomain/zero/1.0/",
    "primary_cat": "quant-ph",
    "submitted_at": "2025-06-18T11:45:57Z",
    "title_canon_sha256": "f748a3087944e4c4c0609f28706b0c3e7aedef75e562c7afe86648ac2a024af1"
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  "source": {
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    "kind": "arxiv",
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}