Objective
There exists a class of important computational problems that conventional computers are unable to address with reasonable efficiency. Such Combinatorial Optimization (CO) problems are pervasive in a wide range of critically important sectors of society, e.g. in business operations, manufacturing, and research, including man-power scheduling, vehicle routing, IC circuit layout, protein folding and DNA sequencing, efficient big-data clustering, election modelling, network diagnosis, modelling molecular dynamics, discovery of new medicines/chemicals/materials, and so forth. At present, the CO market size is of the order of 1B and is expected to exhibit a 56% market growth rate with a 2030 market size forecast at 50B. Since conventional computers are ineffective in handling large CO problems, dedicated hardware both quantum and quantum-inspired are intensely researched and developed world-wide. A quantum-inspired alternative so-called Ising Machines has been developed over the last 20 years by D-wave in superconducting technology and is commercially available. However, being a superconducting technology, it suffers from operation at 20 mK requiring 25 kW of cooling power, little hope for much miniaturization of the complete system (today about 30 m3), and extreme cost (~10 M$ per system). Clearly, there is a need for a fast, scalable, energy-efficient, and affordable Ising Machine in dedicated hardware, without any of the severe drawbacks of the D-wave technology. This is the problem that SPINTOP wants to address. SPINTOP will deliver fast, scalable, energy-efficient and affordable Ising Machines based on networks of spin Hall nano-oscillators (SHNOs) pioneered by the applicant (J) in his ongoing ERC Adv. Grant TOPSPIN. The proposed technology has tremendous breakthrough innovation potential and will aid in solving societal challenges related to almost all UN Sustainable Development Goals.
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.
- natural sciences biological sciences genetics DNA
- social sciences political sciences political transitions elections
- natural sciences biological sciences biochemistry biomolecules proteins
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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-POC - HORIZON ERC Proof of Concept 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-POC1
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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.
405 30 Goeteborg
Sweden
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.