pith:NQJQIBOA
Hierarchical Fusion Method for Scalable Quantum Eigenstate Preparation
A fusion of adiabatic preconditioning and the Rodeo Algorithm enables scalable eigenstate preparation in large quantum systems.
arxiv:2510.19039 v3 · 2025-10-21 · quant-ph
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Claims
By incrementally building up large systems from exactly solvable subsystems and using adiabatic preconditioning to enhance intermediate state overlaps, we ensure that the RA retains its exponential convergence even in large-scale systems.
The adiabatic ramp applied to intermediate subsystems produces sufficiently high overlap with the target eigenstate so that the subsequent Rodeo Algorithm step retains its exponential convergence property without requiring prohibitive resources.
A new fusion of adiabatic preconditioning and the Rodeo Algorithm, built hierarchically from solvable subsystems, enables robust exponential convergence for eigenstate preparation in the spin-1/2 XX model at high precision.
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Receipt and verification
| First computed | 2026-05-20T01:06:06.407511Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
6c130405c0bece1d6cf5abfc19071dc8d8f7fe28587b2024d2e7aecf5cd2cf62
Aliases
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curl -sH 'Accept: application/ld+json' https://pith.science/pith/NQJQIBOAX3HB23HVVP6BSBY5ZD \
| 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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