Optimal and probabilistic learning of quantum devices

Quantum computing is nowadays a part of modern computer science. One of its main objectives is to establish quantum supremacy over the classical paradigm of computation. To that end, a quest to build a foul-tolerant quantum computer and the corresponding stack of software has already begun. Superpowers (e.g., USA, China) are leading most efforts in collaboration with the most innovative industrial partners (e.g., Google, Microsoft) guided by worldwide experts on quantum information processing.

Quantum machine learning can be divided into three distinct groups:
  • quantum processing of classical data,
  • application of classical machine learning techniques for quantum algorithms’ development,
  • quantum processing of quantum data.

This project  deals with the third group of processing.

Numer projektu: 

2022/47/B/ST6/02380

Termin: 

20/06/2023 to 19/06/2027

Typ projektu: 

Projekt własny badawczy

Kierownik projektu: 

Wykonawcy projektu: 

Historia zmian

Data aktualizacji: 27/11/2023 - 12:49; autor zmian: Zbigniew Puchała (zbyszek@iitis.pl)

Quantum computing is nowadays a part of modern computer science. One of its main objectives is to establish quantum supremacy over the classical paradigm of computation. To that end, a quest to build a foul-tolerant quantum computer and the corresponding stack of software has already begun. Superpowers (e.g., USA, China) are leading most efforts in collaboration with the most innovative industrial partners (e.g., Google, Microsoft) guided by worldwide experts on quantum information processing.

Quantum machine learning can be divided into three distinct groups:
  • quantum processing of classical data,
  • application of classical machine learning techniques for quantum algorithms’ development,
  • quantum processing of quantum data.

This project  deals with the third group of processing.