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Superconducting qubits (quantum bits), along with other superconducting technologies, have led to substantial advancement in future computing. Superconducting qubits utilize macroscopic-quantum coherence (two engineered quantized levels from superconducting circuits). Enabled by collaborations, this group customizes superconducting resonators and qubits and reveals new understandings of coherence, material phenomena with quantum properties, and novel quantum systems, all for the future of computing. Many studies are performed on atomic-sized two-level systems (TLSs) in materials, which is a major source of decoherence in qubits. Ongoing projects perform electric-field TLS-energy tuning (see caption to figure) and sometimes TLS-sourced microwave lasing (see reference no. 17 in publications). In other studies, macroscopic-quantum phenomena with flux-quanta are explored to lower the energy usage and heat dissipation of digital gates in computers. In this latter project, irreversible functions are replaced with reversible ones using novel dynamics of ballistic-powered fluxons. These new gates are the first ballistic powered logic circuits, such that they require no power or biasing in the gates (see reference no. 5 and 9, for example).

In this device, a spectrally isolated qubit defect is probed using strong cavity quantum electrodynamics (C-QED) for the first time. The defect is atomic-sized and it resides in a ~100 nm thick film which is only sometimes compatible with qubits. These defects have two-levels and are being probed in an array of custom circuits in the group. For example, in other work we have introduced dc electric-field tuning of the defect energy (see reference no. 18 and 19 in publications)

KDO Research Group

Kevin D. Osborn, Ph.D.

Laboratory for Physical Sciences at the University of Maryland

8050 Greenmead Dr.

College Park, MD  20740

osborn -at- lps -dot- umd -dot- edu

Superconducting circuits with quantum defects for quantum information science and quantized flux for fast energy-efficient information processing