INV-21027
The ongoing second quantum revolution calls for exploiting the laws of quantum mechanics in transformative new technologies for computation and quantum information science (QIS) applications. Spin-qubits based on solid-state defects have emerged as promising candidates because these qubits can be initialized, selectively controlled, and readout with high fidelity at ambient temperatures.
A key challenge in the development of controllable multiple-qubit systems is how to effectively couple spin defects and achieve high fidelity and long coherence times.
Using a high-throughput materials discovery effort based on a defect-qubit design hypothesis involving the interplay of local symmetry of the defect and the electronic structure of the host, Northeastern researchers identify thermodynamically stable, neutral anion-antisite defects in six monolayer compounds as potential defect-spin qubits hosting stable triplet ground states.
Being atomically thin and amenable to external controls, two-dimensional (2D) materials offer a new paradigm for the realization of patterned qubit fabrication and operation at room temperature for quantum information sciences applications. Researchers show that the antisite defect in 2D transition metal dichalcogenides (TMDs) can provide a controllable solid-state spin qubit system.
The presence of optical transitions and triplet-singlet intersystem crossing processes for fingerprinting these defect qubits is revealed. The initialization and readout principles of an antisite qubit is expected to be stable against interlayer interactions in a bilayer structure for qubit isolation and protection in future qubit based devices. Our study opens a new pathway for creating scalable, room-temperature spin qubits in 2D TMDs.
• More easily scalable and integrable in future platforms for quantum information science
• 2D materials are more accessible and controllable
• Much larger number of qubits or computation power
• Operation of quantum computers at room temperature
• Development of quantum sensors
• Development of more powerful quantum computing platforms