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The Gibbs Framework for Near-Term Quantum Computing

Project description

New quantum algorithms that could tolerate noise

Noise, or imperfections in quantum devices, is a major bottleneck to advancing quantum computing. It disrupts calculations and makes it harder to develop reliable systems. The ERC-funded GIFNEQ project seeks to overcome this by creating scalable techniques to identify and characterise noise more effectively. It also aims to design quantum algorithms that can work despite substantial noise, reducing reliance on resource-intensive error correction. Using breakthroughs in learning theory and mathematical frameworks like quantum Gibbs states, GIFNEQ seeks to make quantum computing more practical and efficient. Project findings will have implications for quantum information, computer science and mathematical physics.

Objective

The GIFNEQ project one of the major bottlenecks in quantum computing: noise, an umbrella term for various imperfections affecting the device. The initiative establishes a unified theoretical framework, focusing on two primary goals: developing scalable noise characterization techniques and crafting verifiable quantum algorithms resilient to substantial noise levels. A particular focus is placed on revolutionizing dissipative preparation schemes—a subset of quantum algorithms analogous to Metropolis sampling—aiming to make them a preferred state preparation method by creating noise-aware, verifiable algorithms requiring considerably less quantum error correction, a resource-intensive element in quantum computing.

Simultaneously, GIFNEQ endeavors to radically simplify and augment the reliability of the traditionally complex noise characterization process. It leans on recent breakthroughs in robust learning theory to discern and detail structured noise sources efficiently. Introducing protocols resilient to anomalies ensures robust and reliable learning of quantum noise. These objectives are intertwined by the requisite mathematical framework, heavily contingent upon quantum Gibbs states, a quantum extension of Markov random fields, with the project also seeking to obtain various mathematical statements related to these states.

GIFNEQ promises to be a watershed in quantum computing, targeting practical resolutions with profound theoretical insights and bridging domains like quantum information, computer science, and mathematical physics to pave the way for breakthroughs that reshape the effective utilization of quantum devices. As a seasoned expert in the field, with a wealth of knowledge on noise impact, characterization, and quantum dissipation in quantum computation, substantiated by publications in renowned journals such as Nature Physics or Nature Communications, I present a uniquely qualified leadership to steer this transformative project.

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Topic(s)

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Funding Scheme

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HORIZON-ERC - HORIZON ERC Grants

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Call for proposal

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(opens in new window) ERC-2024-STG

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Host institution

KOBENHAVNS UNIVERSITET
Net EU contribution

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.

€ 1 491 741,00
Address
NORREGADE 10
1165 KOBENHAVN
Denmark

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Region
Danmark Hovedstaden Byen København
Activity type
Higher or Secondary Education Establishments
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Total cost

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.

€ 1 491 741,00

Beneficiaries (1)

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