Pith Number

pith:QLHOVFQZ

pith:2026:QLHOVFQZQD7NV23DZVAS2CBDKL

not attested not anchored not stored refs resolved

QLAM: A Quantum Long-Attention Memory Approach to Long-Sequence Token Modeling

Hoang-Quan Nguyen, Khoa Luu, Sankalp Pandey

QLAM represents sequence memory as a quantum superposition state evolved by input-conditioned circuits to capture global dependencies in linear time.

arxiv:2605.13833 v1 · 2026-05-13 · cs.LG · cs.CV

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\pithnumber{QLHOVFQZQD7NV23DZVAS2CBDKL}

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Record completeness

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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

Across all tasks, QLAM consistently improves over recurrent baselines and transformer-based models.

C2weakest assumption

That the parameterized quantum circuits can evolve the superposition state to capture complex global token interactions more effectively than classical additive or linear transitions, and that this advantage can be realized at practical simulation cost.

C3one line summary

QLAM extends state-space models with quantum superposition in the hidden state for linear-time long-sequence modeling and reports consistent gains over RNN and transformer baselines on sequential image tasks.

References

62 extracted · 62 resolved · 11 Pith anchors

[1] Long short-term memory 1997

[2] Learning long-term dependencies with gradient descent is difficult, 1994

[3] Attention is all you need 2017

[4] Generating Long Sequences with Sparse Transformers 1904 · arXiv:1904.10509

[5] Transformers are rnns: Fast autoregressive transformers with linear attention, 2020

Receipt and verification

First computed	2026-05-18T02:44:14.992216Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

82ceea961980fedaeb63cd412d082352c0dbec8129001aa487c56606a421a51d

Aliases

arxiv: 2605.13833 · arxiv_version: 2605.13833v1 · doi: 10.48550/arxiv.2605.13833 · pith_short_12: QLHOVFQZQD7N · pith_short_16: QLHOVFQZQD7NV23D · pith_short_8: QLHOVFQZ

Agent API

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/QLHOVFQZQD7NV23DZVAS2CBDKL \
  | 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: 82ceea961980fedaeb63cd412d082352c0dbec8129001aa487c56606a421a51d

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "97c07204f62d2f26489066eb77444cc3e7a3ad58de40e421cba95b96c92ebd4e",
    "cross_cats_sorted": [
      "cs.CV"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2026-05-13T17:56:20Z",
    "title_canon_sha256": "abe09874bf56b63a9b662d67ca6c02da52fc252398bb470286209b215e3805c8"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2605.13833",
    "kind": "arxiv",
    "version": 1
  }
}