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pith:WQT6MLW4

pith:2026:WQT6MLW4RCIOZPOKTIMXX5B4RL
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Tailoring Germanium Heterostructures for Quantum Devices with Machine Learning

Giordano Scappucci, Kevin Rossi, Patrick Del Vecchio, Stefano Bosco

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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\pithnumber{WQT6MLW4RCIOZPOKTIMXX5B4RL}

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3 Author claim open · sign in to claim
4 Citations open
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Claims

C1strongest claim

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.

C2weakest assumption

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.

C3one line summary

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.

Cited by

3 papers in Pith

Receipt and verification
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

Aliases

arxiv: 2604.21732 · arxiv_version: 2604.21732v2 · doi: 10.48550/arxiv.2604.21732 · pith_short_12: WQT6MLW4RCIO · pith_short_16: WQT6MLW4RCIOZPOK · pith_short_8: WQT6MLW4
Agent API
Verify this Pith Number yourself
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
{
  "metadata": {
    "abstract_canon_sha256": "b79342e2538fbadd900246983ec740b5a5b0435cb3f4d5de85e4e2de4728d190",
    "cross_cats_sorted": [],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cond-mat.mes-hall",
    "submitted_at": "2026-04-23T14:37:22Z",
    "title_canon_sha256": "159eef8d42cc2888bb6af1f4aa1773176536b254c5076f3f23258798920a137d"
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  "source": {
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    "kind": "arxiv",
    "version": 2
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}