pith:HWHWXDDG
Adaptive Sensing beyond Non-Adaptive Information Limits: End-to-End Co-Design of Geometry, Policy, and Inference
Sensors achieve large performance gains by jointly optimizing their physical geometry and adaptive measurement policy instead of designing them separately.
arxiv:2604.25193 v2 · 2026-04-28 · physics.optics · math.OC · physics.comp-ph · physics.data-an · quant-ph
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\pithnumber{HWHWXDDG4Y4AXBDQU23JTFNVYD}
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Record completeness
Claims
For any sensor whose hardware is designed once but whose policy runs for the device's lifetime, joint optimization of hardware and policy is the minimum principled procedure.
The outer hardware gradient computed by differentiable dynamic programming with a sharp Bellman maximum is exact and bias-free via the envelope theorem, and the relaxation hierarchy scales from small POMDPs to 10^5-pixel photonic topologies without introducing significant approximation error.
Joint dynamic programming co-optimizes continuous hardware geometry and Bellman-optimal adaptive policies, yielding large gains over baselines in radar POMDPs, qubit sensors, and 90k-pixel photonic metasensors.
Receipt and verification
| First computed | 2026-06-09T01:05:18.157741Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
3d8f6b8c66e6380b8470a6b69995b5c0dd8b3005e60a19ca65488cc9f8bff809
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/HWHWXDDG4Y4AXBDQU23JTFNVYD \
| 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: 3d8f6b8c66e6380b8470a6b69995b5c0dd8b3005e60a19ca65488cc9f8bff809
Canonical record JSON
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