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    },
    "documentation": "https://doi.org/10.5281/zenodo.14918287",
    "release_date": "2025-08-20T00:00:00",
    "funder": "https://doi.org/10.13039/501100003246",
    "ror_id": "https://ror.org/04jsz6e67",
    "date": "2026-11-04T00:00:00",
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    {
      "project_id": "VI.Veni.212.278",
      "title": "Engineered Topological Quantum Networks",
      "funding_scheme_id": 4414,
      "funding_scheme": "NWO-Talentprogramma Veni ENW 2021",
      "department": "Exacte en Natuurwetenschappen",
      "sub_department": "Exacte en Natuurwetenschappen",
      "start_date": "2022-03-01T00:00:00",
      "end_date": "2025-03-01T00:00:00",
      "reporting_year": 2021,
      "summary_nl": "Om kwantum technologieën op te schalen moeten wetenschappers nieuwe strategieën ontdekken om kwantum ruis te overwinnen. Dit onderzoek gebruikt inzichten vanuit de topologie voor een nieuwe methode om on-chip kwantum netwerken te vervaardigen. Met deze nieuwe apparaten kan kwantum informatie worden gedistribueerd zonder het nadelige effect van kwantum ruis.\n\n\n\nTo scale up quantum technologies scientists need to discover new strategies to overcome quantum noise. This research uses insights from topology for a new way of engineering on-chip quantum networks. With these novel devices, quantum information can be distributed without detrimental effects from quantum noise.",
      "summary_en": "Om kwantum technologieën op te schalen moeten wetenschappers nieuwe strategieën ontdekken om kwantum ruis te overwinnen. Dit onderzoek gebruikt inzichten vanuit de topologie voor een nieuwe methode om on-chip kwantum netwerken te vervaardigen. Met deze nieuwe apparaten kan kwantum informatie worden gedistribueerd zonder het nadelige effect van kwantum ruis.\n\n\n\nTo scale up quantum technologies scientists need to discover new strategies to overcome quantum noise. This research uses insights from topology for a new way of engineering on-chip quantum networks. With these novel devices, quantum information can be distributed without detrimental effects from quantum noise.",
      "award_amount": 279419,
      "grant_id": "https://doi.org/10.61686/NCJJZ79745",
      "summary_updates": [
        {
          "submission_date": "2025-07-14T10:20:51",
          "update_en": "Quantum computing is often limited by spurious interactions between the quantum bits, but in fact, quantum computing can be made easier by using these already-present native interactions to our advantage. In this proposal, we show that this hybrid approach leads to better computation accuracy and less engineering overhead. As a concrete example, we study high-energy physics problems, where accurate simulation is essential. We propose how to design, evaluate, and simulate these hybrid quantum computation models using advanced machine learning methods to enable systematic comparisons between classical and quantum algorithms. This framework may lead to new near-term applications for quantum computers.",
          "update_nl": "Quantumcomputers worden vaak beperkt door ongewenste interacties tussen qubits, maar deze aanwezige interacties kunnen juist worden benut. In dit voorstel laten we zien dat deze hybride benadering leidt tot hogere nauwkeurigheid en minder technische complexiteit. Als concreet voorbeeld bestuderen we problemen uit de hoge-energiefysica, waar nauwkeurige simulatie cruciaal is. We beschrijven hoe men deze hybride quantumcomputatiemodellen kan ontwerpen, evalueren en simuleren met geavanceerde machine learning-methoden. Zo kunnen systematische vergelijkingen tussen klassieke en quantumalgoritmen worden gemaakt. Dit kader kan leiden tot nieuwe toepassingen op korte termijn voor quantumcomputers."
        }
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          "member_id": 486244,
          "last_name": "Greplova",
          "degree_pre_nominal": "dr.",
          "initials": "E.",
          "first_name": "Eliska",
          "organisation": "Technische Universiteit Delft||Faculteit Technische Natuurwetenschappen||NanoScience - Kavli Institute of Nanoscience Delft||Department of Quantum Nanoscience",
          "organisation_id": 337209,
          "ror": "https://ror.org/02e2c7k09",
          "active": false
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          "initials": "E.",
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          "ror": "https://ror.org/02e2c7k09",
          "active": true
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          "last_name": "Greplova",
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          "initials": "E.",
          "first_name": "Eliska",
          "organisation": "Technische Universiteit Delft",
          "organisation_id": 4621,
          "ror": "https://ror.org/02e2c7k09",
          "active": true
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