pith:WQT6MLW4
Tailoring Germanium Heterostructures for Quantum Devices with Machine Learning
Localized strained silicon spikes in unstrained germanium channels can increase spin-orbit interaction by up to three orders of magnitude.
arxiv:2604.21732 v2 · 2026-04-23 · cond-mat.mes-hall
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Claims
we demonstrate that concrete heterostructure modifications can overcome these limitations, enhancing SOI by up to three orders of magnitude... Our heterostructure substantially enhances device performance, yielding up to two orders of magnitude higher quantum-dot spin qubit quality factors than state-of-the-art materials. We also predict GHz-scale spin splittings for hybrid superconducting Andreev spin qubits.
The multi-objective Bayesian optimization accurately models real epitaxial growth constraints and that the computed SOI enhancements and quality factor improvements will translate to fabricated devices without defects or unmodeled scattering effects.
Localized strained silicon spikes in unstrained Ge channels, optimized via multi-objective Bayesian optimization, enhance spin-orbit interaction by up to three orders of magnitude and improve quantum-dot spin qubit quality factors by up to two orders.
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| First computed | 2026-06-02T02:04:53.395606Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
b427e62edc8890ecbdca9a197bf43c8af1d7d2856d82b39ff40b7d50795ac688
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curl -sH 'Accept: application/ld+json' https://pith.science/pith/WQT6MLW4RCIOZPOKTIMXX5B4RL \
| 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: b427e62edc8890ecbdca9a197bf43c8af1d7d2856d82b39ff40b7d50795ac688
Canonical record JSON
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