Atténuation du bruit robuste et évolutive pour l'informatique quantique

Robust and Scalable Noise Mitigation for Quantum Computing

• Auteur / Autrice : Bo Yang
• Direction : Elham Kashefi
• Type : Projet de thèse
• Discipline(s) : Sciences et technologies de l'information et de la communication
• Date : Inscription en doctorat le 01/09/2022
• Etablissement(s) : Sorbonne université
• Ecole(s) doctorale(s) : École doctorale Informatique, télécommunications et électronique de Paris (1992-...)
• Partenaire(s) de recherche : Laboratoire : LIP6

Mots clés

Mots clés libres

L'informatique quantique

Atténuation des erreurs quantiques

Vérification quantique

Quantum computing

Quantum error mitigation

Quantum verification

Résumé

The noise on quantum devices is the largest obstacle towards the practical application of quantum algorithms on quantum devices. Though quantum error mitigation (QEM) has become mainstream for near-term quantum computation, quantum computation with remarkable advantages over classical counterparts may require more scalable and effective error suppression methods such as quantum error correction (QEC). However, QEC remains elusive as it requires substantial quantum resources. Here, we aim to figure out new error suppression methods which are more powerful than QEM but still lighter than QEC. This would allow for robust quantum computation and verification, and we are also exploring a way to perform robust and scalable quantum verification as well.