QORA – Quantum optimization using resilient algorithms

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Companies – even outside the financial sector – are increasingly confronted with the need to manage large and complex portfolios that already require massive use of information technology (IT). The ability to make optimal decisions quickly is increasingly becoming a decisive competitive advantage. Quantum computers (QC) offer the prospect of outperforming conventional computers in the relevant optimization processes and could decisively accelerate portfolio-related decisions. In the QORA project, such optimization methods are developed based on the Quantum Approximate Optimization Algorithm (QAOA) and tested on the IBM Quantum Computer (IBMQC), which will be operated by the Fraunhofer-Gesellschaft in Ehningen near Stuttgart from 2021.

Besides the increase of the qubit number (and thus the accessible problem sizes), the future quantum advantage is based on the achievable quality of the calculations. The computational operations in quantum computers still have error rates that are orders of magnitude higher than those of conventional computers. Therefore, QORA will address the central challenge of quantum computing to execute complex and practically relevant quantum algorithms in a resilient manner on inherently unreliable quantum hardware.

This project is part of the Competence Center Quantum Computing Baden-Württemberg.

PROJECT TITLE

QORA – Quantum optimization using resilient algorithms

 

DURATION

2021 – 2023

FUNDING SOURCE

Ministry of Economics, Labour and Housing Baden-Württemberg

Coordinator

Fraunhofer IAF

OBJECTIVES

  • Implementation of current algorithms for static and dynamic portfolio optimization on the IBMQC under consideration of practically relevant constraints.
  • Development of error resistant quantum algorithms for optimization problems, which are executable on quantum hardware with non-trivial error rates. Special focus is on the Quantum Approximate Optimization Algorithm (QAOA), which combines classical and quantum computations.
  • Methods to increase the resilience of quantum computations on circuit or quantum gate level using new IBMQC adapted transpilation, error detection and error correction approaches.
  • A precise characterization of the error mechanisms occurring in IBMQC at the technology level, especially correlated errors, and formulation of error models for use at higher levels of abstraction.

Funded by the Ministry of Economic Affairs, Labour and Housing Baden-Württemberg

Further information

 

Quantum Computing at Fraunhofer IAF

All information about research in quantum computing at Fraunhofer IAF can be found here.

 

Competence Center Quantum Computing

The Competence Center Quantum Computing in Baden-Württemberg connects stakeholders in the state.