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Scalable quantum computing with continuous variable cluster states

Project description

A scalable continuous-variable measurement-based approach to quantum computation

Measurement-based quantum computation was introduced a little more than two decades ago. It relies on the processing of quantum information via iterations of simple measurements on multiple qubits prepared in a highly entangled state, a so-called cluster state. Despite significant progress over the last decade, considerable conceptual and technical challenges remain a barrier to up-scaled versions which can outperform classical computers. The ERC-funded ClusterQ project will build on its demonstrated extremely large 2D cluster states to deliver scalable 3D cluster states. These will be explored and tested to develop a continuous variable measurement-based approach, a novel strategy for fault-tolerant measurement-based quantum computation using surface codes in 3D cluster states.


Measurement-based quantum computation is a highly promising approach to quantum computing as it simply performs quantum processing directly through the measurements of a multi-partite entangled cluster state and thereby circumvents the complex unitary dynamics of conventional gate-based quantum computers. However, despite significant progress over the last decade in devising new strategies for measurement-based quantum computing, significant conceptual and technical challenges still remain for realizing up-scaled versions that reach the quantum advantage regime where it outperforms classical computation. In ClusterQ we aim to overcome these challenges using continuous variable three-dimensional entangled cluster states. Based on our recent work on generating and exploiting extremely large two-dimensional clusters states we aim to make conceptual breakthroughs along three different directions. First, we deterministically generate highly scalable three-dimensional cluster states of different topological structures, and explore their many-body behaviour and usefulness for quantum computing. Next, we use the three-dimensional cluster states combined with hybrid detection technologies to demonstrate new quantum boson sampling algorithms – a near-term quantum computing algorithm allowing for a demonstration of quantum computational supremacy – and finally, we explore, theoretically and experimentally, a novel strategy for fault-tolerant measurement-based quantum computation using surface-codes in 3D cluster states. ClusterQ aims to position the continuous variable measurement-based approach to quantum information processing in the field of front-running candidates for NISQ (noisy, intermediate-scale quantum) computing and, in the longer term, fault-tolerant quantum computing.

Host institution

Net EU contribution
€ 2 792 416,00
2800 Kongens Lyngby

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Danmark Hovedstaden Københavns omegn
Activity type
Higher or Secondary Education Establishments
Total cost
€ 2 792 416,00

Beneficiaries (1)