Pith Number

pith:UHVETEIQ

pith:2026:UHVETEIQQV2SAX4GN57LBXPDIJ

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DistributedEstimator: Distributed Training of Quantum Neural Networks via Circuit Cutting

Adel N. Toosi, Prabhjot Singh, Rajkumar Buyya

A staged distributed pipeline for circuit-cut quantum neural network training preserves test accuracy and robustness on standard benchmarks.

arxiv:2602.16233 v3 · 2026-02-18 · cs.DC · cs.LG · quant-ph

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\pithnumber{UHVETEIQQV2SAX4GN57LBXPDIJ}

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Claims

C1strongest claim

Despite these overheads, test accuracy is fully preserved on Iris and maintained without systematic degradation on MNIST across all cut configurations. Robustness under Gaussian noise and FGSM perturbations is similarly preserved, with several cut configurations exhibiting comparable or improved robustness relative to the uncut baseline.

C2weakest assumption

The workloads (Iris and MNIST binary classification) and cut configurations tested are representative of broader QNN training scenarios, and the logged runtime traces accurately capture end-to-end overheads without unaccounted hardware variability.

C3one line summary

DistributedEstimator demonstrates that circuit cutting preserves test accuracy and robustness in QNN training on Iris and MNIST while revealing that classical reconstruction dominates runtime and exponential subcircuit growth limits scaling.

Receipt and verification

First computed	2026-06-23T01:12:02.126032Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

a1ea4991108575205f866f7eb0dde3425a611948305e4131bcf5667af369e95e

Aliases

arxiv: 2602.16233 · arxiv_version: 2602.16233v3 · doi: 10.48550/arxiv.2602.16233 · pith_short_12: UHVETEIQQV2S · pith_short_16: UHVETEIQQV2SAX4G · pith_short_8: UHVETEIQ

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/UHVETEIQQV2SAX4GN57LBXPDIJ \
  | 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: a1ea4991108575205f866f7eb0dde3425a611948305e4131bcf5667af369e95e

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "14cf02e9d0cb3606027e0240225d5695e7002659a22991d2c14c666b0ef7c9fe",
    "cross_cats_sorted": [
      "cs.LG",
      "quant-ph"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.DC",
    "submitted_at": "2026-02-18T07:17:29Z",
    "title_canon_sha256": "05725af787a92a6cb45fc0d241372634566df7b8932f73cab32bef419fc15eab"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2602.16233",
    "kind": "arxiv",
    "version": 3
  }
}