QuSurf
Abstract
The objective ofthe proposed research is to explore and experimentally demonstrate a superconducting logical qubit based on surface coding. A specific objective is the experimental demonstration of high-fidelity quantum gates based on flux-tunable transmon qubits that overcome the fault-tolerance threshold. A classical control system based on room-temperature hybrid microwave mixed analog-digital electronics will be developed to provide the capability to execute high-fidelity qubit gates in the proposed multi-qubit system. The overall proposed approach is to use surface code encoding o f physical superconducting qubits to demonstrate an error-corrected logical qubit. The proposed surface code architecture makes use of a planar quantum core based on circuit quantum electrodynamics (cQED) and a classical control system using room-temperature, hybrid microvvave-analog/digital electronics. Fast-flux-tunable transmon qubits arranged in a square lattice w i l l be coupled to nearest neighbors using high-quality-factor bus resonators and will be individually measured using dedicated readout resonators. Vertical port roufing will allow coupling of input/output control signals deep inside centimeter-scale silicon chips. Recently demonstrated reuse of qubit transition frequencies, pulse multicasting, frequency-division multiplexing and planned developments in direct synthesis will be exploited to manage the complexity and cost ofthe control system, while simultaneously achieving the needed capability. Extensibility of the ai chitecture will be pursued by developing multiple generations of surface codes of increasing complexity (numbers of qubits). Qubit coherence will be improved by exploring new materials such as NbTiN for circuit components. The microwave environment on-chip will be controlled by careful design and simulation, use of superconducting vias, use of superconducting vertical coaxes, and implementation of other advanced circuit board fabrication techniques. Permission
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Jan 12, 2017
- Source ID
- W911NF1610071
Entities
People
- Leonardo Dicarlo
Organizations
- Army Contracting Command
- Delft University of Technology
- United States Army