Future quantum computers capable of solving relevant problems will require a large number of qubits that can be operated reliably. However, the requirements of having a large qubit …
Micromagnet-based electric dipole spin resonance offers an attractive path for the near-term scaling of dense arrays of silicon spin qubits in gate-defined quantum dots while maintaining …
Semiconductor spin qubits demonstrated single-qubit gates with fidelities up to $99.9\% $ benchmarked in the single-qubit subspace. However, tomographic characterizations reveal …
Fluctuations in electric fields can change the position of a gate-defined quantum dot (QD) in a semiconductor heterostructure. In the presence of magnetic field gradient, these stochastic …
Computational power in measurement-based quantum computing stems from the symmetry- protected topological (SPT) order of entangled resource states. However, resource states …
The quantum approximate optimization algorithm (QAOA) has the potential of providing a useful quantum advantage on noisy intermediate-scale quantum (NISQ) devices. The effects …
In recent advancements of quantum computing utilizing spin qubits, it has been demonstrated that this platform possesses the potential for implementing two-qubit gates …
Quantum Graph Neural Networks (QGNNs) represent a novel fusion of quantum computing and Graph Neural Networks (GNNs), aimed at overcoming the computational and scalability …
F Ginzel, M Fellner, C Ertler, LR Schreiber, H Bluhm… - Physical Review B, 2024 - APS
Motivated by the prospect of a two-dimensional square-lattice geometry for semiconductor spin qubits, we explore the realization of the parity architecture with quantum dots. We …