Project description
Innovative architectures to reduce errors in quantum computing
Quantum computers hold great potential for revolutionising technology and solving complex problems, but their progress is hindered by qubit fragility that leads to errors. Current quantum devices struggle with maintaining perfect execution, which is essential for running advanced quantum algorithms. Traditional error correction methods require thousands of physical qubits to create just a single reliable logical qubit, making practical quantum computing seem out of reach. The ERC-funded MultiCorreQCt project will help overcome this limitation by studying multispecies concatenated architectures. Such architectures combine a mix of specialised qubits each optimised for its functional role and layer error correction methods to drastically reduce hardware demands for quantum computing. If successful, the proposed method could pave the way for scalable, error-free quantum computers.
Objective
In this project, we will build quantum-physical devices based on superconducting circuits and investigate approaches towards error -corrected quantum computing, which are both hardware-efficient and scalable. To this goal we envision to address errors hierarchically by multiple error-correcting layers and by using multispecies architectures in which data qubits and ancillary qubits are optimized for their respective purposes.
Despite the tremendous progress in building quantum computers, all of today’s existing devices suffer from errors. All known quantum algorithms with a proven speed-up, however, rely on their near-perfect execution. To close this gap we need to learn to efficiently protect quantum information from decoherence and to process it faultlessly. While the theory of quantum error correction was developed in the 1990’s, experimental exploration of error correcting codes has only recently become possible due to the stringent quantum hardware requirements. Furthermore, realizations using conventional surface code architectures result in a massive hardware overhead
requiring thousands of physical qubits per single logical qubit, which is considered a major obstacle towards practical quantum computing. To overcome this limitation, we will study multispecies concatenated architectures, in which every qubit is implemented as a hardware-efficient logical qubit tailored to its functional role. Such hardware-efficient logical qubits allow to detect and suppress the most frequent errors hardware-efficiently – promising a substantial reduction of the required size of an overarching code. Demonstrating quantum error correction in such multispecies and concatenated architectures, which we aim for in this project, would be a major breakthrough towards the realization of errorless superconducting quantum computers.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering computer hardware quantum computers
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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HORIZON.1.1 - European Research Council (ERC)
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Topic(s)
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Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
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Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
HORIZON-ERC - HORIZON ERC Grants
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) ERC-2025-COG
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
91058 Erlangen
Germany
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