pith:AH37TN4U
Feedback-based quantum optimization and its classical counterpart: quantum advantage and the power of classical algorithms
Quantum optimization produces higher-quality solutions than classical counterparts but converges more slowly
arxiv:2605.13082 v1 · 2026-05-13 · quant-ph
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\pithnumber{AH37TN4U7DLXRUGECFWV667WIC}
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Claims
Quantum algorithms can be advantageous to classical algorithms in terms of the quality of solutions, while classical algorithms tend to show faster convergence than quantum ones, and one classical algorithm shows significant scalability for higher-order unconstrained binary optimization problems.
That the quantum-classical correspondence of spin systems preserves the relative performance ranking between the quantum and classical feedback algorithms on the tested instances.
Classical feedback-based optimization matches or exceeds quantum performance in speed and scalability while quantum retains an edge in final solution quality on tested instances.
References
Receipt and verification
| First computed | 2026-05-18T03:08:58.656334Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
01f7f9b794f8d778d0c4116d5f7bf640872cf33e183030b6f48ca0869592267c
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/AH37TN4U7DLXRUGECFWV667WIC \
| 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: 01f7f9b794f8d778d0c4116d5f7bf640872cf33e183030b6f48ca0869592267c
Canonical record JSON
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