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

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.

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. 

European Union’s Horizon 2020 research and innovation programme

OpenSuperQ aims at developing a full-stack quantum computing system of up to 100 qubits and to sustainably make it available at a central site for external users. This system will be applied to tasks of quantum simulation in quantum chemistry which serve as a high-level benchmark, and to problems related to optimization and machine learning.

Swiss National Science Foundation (SNSF)

The quest for building quantum information processors is currently pursued along two largely orthogonal paths, one based on optical frequency excitations in atoms or ions in vacuum or embedded in a solid and the other based on microwave frequency excitations in superconducting or semiconducting micro- and nano-structures. While optical approaches drastically differ in their implementation from microwave implementations, solid state approaches based on superconducting electronic circuits and semiconductor quantum dots have very similar requirements for their successful implementation.

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.