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.

Completed Projects

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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OpenSuperQ

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.

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Elements for Quantum Information Processing with Semiconductor/Superconductor Hybrids (EQUIPS)

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.

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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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Rydberg Quantum Simulators (RYSQ)

EU, Horizon 2020
Quantum Simulators provide new levels of understanding of equilibrium and out-of-equilibrium properties of many-body quantum systems, one of the most challenging problems in physics. The main objective of the RYSQ proposal is to use Rydberg atoms for quantum simulations, because their outstanding versatility will allow us to perform a great variety of useful quantum simulations, by exploiting different aspects of the same experimental and theoretical tools.

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