548 citations · 906 across the 7 of their papers we have counts for
7 papers
Laser-induced spectral diffusion and excited-state mixing of silicon T centres
Camille Bowness, Simon A. Meynell, Michael Dobinson +11
To find practical application as photon sources for entangled optical resource states or as spin-photon interfaces in entangled networks, semiconductor emitters must produce indist…
Mid-circuit measurements on a single species neutral alkali atom quantum processor
T. M. Graham, L. Phuttitarn, R. Chinnarasu +7
We demonstrate mid-circuit measurements in a neutral atom array by shelving data qubits in protected hyperfine-Zeeman sub-states while non-destructively measuring an ancilla qubit.…
A simple, passive design for large optical trap arrays for single atoms
P. Huft, Y. Song, T. M. Graham +5
We present an approach for trapping cold atoms in a 2D optical trap array generated with a novel 4f filtering scheme and custom transmission mask without any active device. The app…
Demonstration of multi-qubit entanglement and algorithms on a programmable neutral atom quantum computer
T. M. Graham, Y. Song, J. Scott +22
Gate model quantum computers promise to solve currently intractable computational problems if they can be operated at scale with long coherence times and high fidelity logic. Neutr…
Architectural considerations in the design of a third-generation superconducting quantum annealing processor
Kelly Boothby, Colin Enderud, Trevor Lanting +46
Early generations of superconducting quantum annealing processors have provided a valuable platform for studying the performance of a scalable quantum computing technology. These s…
Scaling advantage in quantum simulation of geometrically frustrated magnets
Andrew D. King, Jack Raymond, Trevor Lanting +51
The promise of quantum computing lies in harnessing programmable quantum devices for practical applications such as efficient simulation of quantum materials and condensed matter s…
Demonstration of nonstoquastic Hamiltonian in coupled superconducting flux qubits
I. Ozfidan, C. Deng, A. Y. Smirnov +45
Quantum annealing (QA) is a heuristic algorithm for finding low-energy configurations of a system, with applications in optimization, machine learning, and quantum simulation. Up t…