pith:RMANWZLV
Accelerating State-Vector Quantum Simulation on Integrated GPUs via Cache Locality Optimization: A Cross-Architecture Evaluation
Reorganizing the quantum state vector for last-level cache locality reverses GPU performance degradation on integrated hardware as qubit count grows.
arxiv:2605.15098 v1 · 2026-05-14 · quant-ph · cs.AR · cs.DC · cs.PF
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\pithnumber{RMANWZLVMKS34LOOMOGHS63BNY}
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Claims
the proposed optimization successfully mitigates performance degradation at larger qubit scales. In particular, for a 28-qubit simulation, the optimization reversed a performance deficit on an Intel Core i5, improving the GPU speedup over the CPU from 0.95x to 1.89x, and increased the Apple M1 Pro speedup from 3.71x to 5.88x.
That the state partitioning reorganization can be performed with negligible overhead and that the resulting cache behavior remains consistent across diverse integrated GPU architectures without architecture-specific tuning.
State partitioning optimization improves cache locality and reverses GPU performance deficits for 28-qubit quantum state-vector simulations on integrated GPUs.
References
Receipt and verification
| First computed | 2026-05-17T21:40:25.842436Z |
|---|---|
| Last reissued | 2026-05-17T21:57:19.171156Z |
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | unsigned_v0 |
| Schema | pith-number/v1.0 |
Canonical hash
8b00db657562a5be2dce638c797b616e309a2da07e1f9297a2f021458ea82c37
Aliases
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curl -sH 'Accept: application/ld+json' https://pith.science/pith/RMANWZLVMKS34LOOMOGHS63BNY \
| 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())"
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Canonical record JSON
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