Project description
Understanding the capabilities of quantum and classical devices
The advancement and growing interest in quantum technologies and devices have led to high expectations for their potential. However, a key challenge remains in accurately assessing the computational power of these systems, which limits their optimisation and full use. The ERC-funded DebuQC project aims to address this gap by evaluating and verifying the computational power and capacity of realistic quantum devices. The project will also study the differences between systems that offer quantum advantages and those that can be simulated classically. Ultimately, it will identify and demonstrate applications where quantum devices can achieve significant speed-ups, showcasing their practical potential.
Objective
This project sets out to assess, make use of and verify the computational power of realistic quantum devices. It comprehensively identifies quantum simulators and paradigmatic quantum devices that are computationally superior to classical supercomputers, based on presently available or plausible physical architectures. In doing so, it explores the fine line that discriminates regimes featuring a quantum advantage from ones that are accessible to efficient classical simulation. This naturally two-pronged approach is on the one hand concerned with (1) novel classical simulation tools for seemingly deeply quantum prescriptions and with identifying limitations of variational approaches and quantum simulation schemes. On the other hand, (2) it identifies new practically minded applications of quantum devices that exhibit a computational speed-up over classical machines, with potentially game-changing applications emerging for learning tasks. To achieve this goal, it digs deeply into computer science that provides sophisticated tools of computational complexity and of machine learning, and is instrumental in devising methods for the classical simulation of intricate quantum problems. At the same time, it draws on the physics of complex systems. This proposal suggests an interdisciplinary effort by bringing together ideas of quantum information, condensed matter physics, complexity theory, machine learning, tensor network theory, and methods that are unusual in this context such as signal processing. Individually, each objective substantially advances the respective field, but it is their combination that will permit a true breakthrough by delineating the delicate boundary between quantum and classical computations of synthetic quantum devices.
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 supercomputers
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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)
MAIN PROGRAMME
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Topic(s)
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.
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
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.
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-2022-ADG
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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.
14195 BERLIN
Germany
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.