Projects

The Quantum Device Lab is engaged in a number of individual and collaborative projects funded by the European Commission and the Swiss National Science foundation. An overview of these projects is presented on this webpage.

Ongoing Projects

NCCR SPIN

Swiss National Science Foundation (SNSF), NCCR

The NCCR SPIN aims to make a major contribution to research into and the development of quantum computers and create the basis for a new information-processing technology. The NCCR’s objective is to develop small, fast, scalable silicon-based qubits. It will also generate important findings on software and algorithm development, error correction and the architecture of future quantum computers.

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SuperQuLAN

Programme: H2020-FETOPEN-2018-2020 / H2020-FETOPEN-2018-2019-2020-01

Superconducting quantum circuits are one of the most promising platforms for realizing large-scale quantum computing devices, where in the near future a coherent integration of 100-1000 quantum bits (qubits) is feasible. However, the required temperatures of only a few mK currently restrict quantum operations to qubits that are located within a single, heavily shielded dilution refrigerator. This imposes a serious constraint on the realization of even larger quantum processors or the implementation of local- and wide-area quantum networks based on this technology.

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Quantum Photonics with Microwaves in Superconducting Circuits

Programme: Swiss National Science Foundation (SNSF)

In this project we will develop building blocks of a fully deterministic quantum photonics framework in the microwave frequency domain. By exploiting the unique properties of superconducting circuits, we focus on the realization of (i) deterministic photon-photon entangling gates , (ii) sources of cluster states, and (iii)  quantum memories to absorb, store and relieve photons with a controllable time delay. 

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Quromorphic

H2020-FETOPEN-2018-2020

This project will build superconducting quantum neural networks as dedicated quantum machine learning hardware, which can outperform classical von Neumann architectures in its further development. This will combine the latest innovations, machine learning and quantum computing, into a radically new technology. The project starts in 2019.

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QuSurf

IARPA, LogiQ program, IARPA-BAA-15-10

Large-scale quantum computation hinges on the ability to preserve and process quantum information with higher fidelity by increasing redundancy in a quantum error correction (QEC) code. Achieving such quantum fault tolerance in an extensible architecture remains an outstanding challenge for all experimental quantum computing platforms.

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