SSQIP - Scalable silicon-Based Quantum Information Processing
SSQIP: Scalable Silicon-Based Quantum Information Processing
Principal Investigators: Jason Petta (Princeton University), Guido Burkard (University of Konstanz), Michael Shea (Mayo Clinic)
Electron spins trapped in semiconductor quantum dots are promising platforms for quantum information processing (QIP) due to the potential for rapid device scaling using well-established semiconductor processing techniques. While qubit initialization, readout, and quantum control have been established at basic levels, significant improvements must be achieved to enable fault-tolerant quantum information processing. Moreover, to reap the benefits of device scaling, more practical quantum dot architectures will have to be developed.
The central goal of this proposed research program is to enable the development of competitive spin qubit technologies in the Si/SiGe materials system. Si is promising for QIP due to a weak spin-orbit interaction and a significantly reduced hyperfine interaction (with a possibility to eliminate it altogether using isotopically purified
At the same time, Si presents severe materials challenges due to a large effective mass, valley degeneracy, and lack of high quality two-dimensional electron gases (2DEGs). Our program is focused on addressing some of the rate-limiting steps in the development of Si spin qubits. Key goals are to improve materials quality, scale to larger system sizes without drastically increasing the number of gate electrodes, demonstrate qubit coupling to a cavity, and make the first steps toward achieving a level of quantum control in quantum dots that approaches the 1% threshold for quantum error correction with the surface code.
- WG Burkard (Theoretische Physik mit SP Festkörperphysik und Quanteninformation)
|research funding program
|01.03.2015 – 31.05.2019