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QUARC-BEYOND QUANTUM ADVANTAGE: A PRACTICAL AND UNCONDITIONAL PERSPECTIVE

Project description

Offering proof of quantum computer advantage

Quantum computing is heralded for its potential to solve problems that modern computers cannot handle. Funded by the Marie Skłodowska-Curie Actions programme, the QUARC project will demonstrate unconditional separation between quantum and classical computers and practical uses of quantum computing. Researchers will seek to design problems that can demonstrate quantum advantage without relying on assumptions based on complexity theory or black box operations (quantum oracles). The new tools and techniques will have a wide range of applications, including cryptography and machine learning.

Objective

In this project I will develop techniques and tools to demonstrate unconditional and practical quantum advantage. The quantum speedups that have been developed so far are mostly based on certain assumptions from complexity theory, or they are established relative to imaginary back boxes, called oracles, that are assumed to perform certain tasks and implement certain operations on input data. I will design problems that can demonstrate quantum advantage without such assumptions. The tools and techniques that will be developed in this project can have a wide range of applications in other disciplines, in particular, I will export tools and algorithms from theoretical quantum computation to more practically relevant applications in machine learning and cryptography. I specify concrete objectives that address important gaps in the development of quantum advantage. I design work packages to systematically implement my envisaged approaches and methods. I will bring my expertise from quantum information and incorporate it in quantum effects and computation to reach my goals. I clarify the role of the fellowship in my career development towards establishing my own research group. I explain my approaches towards implementing this project in an impactful manner.

Coordinator

TECHNISCHE UNIVERSITAET MUENCHEN
Net EU contribution
€ 189 687,36
Address
Arcisstrasse 21
80333 Muenchen
Germany

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Region
Bayern Oberbayern München, Kreisfreie Stadt
Activity type
Higher or Secondary Education Establishments
Links
EU contribution
No data