A scalable control system for a superconducting adiabatic quantum optimization processor

By Mark W. Johnson, P. Bunyk, F. Maibaum, E. Tolkacheva, A. Berkley, E. Chapple, R. Harris, J. Johansson, T. Lanting, I. Perminov and 3 more. 2009

160 citations recorded by the source corpus.

We have designed, fabricated and operated a scalable system for applying independently programmable time-independent, and limited time-dependent flux biases to control superconducting devices in an integrated circuit. Here we report on the operation of a system designed to supply 64 flux biases to devices in a circuit designed to be a unit cell for a superconducting adiabatic quantum optimization system. The system requires six digital address lines, two power lines, and a handful of global analog lines.

Subfields: Artificial Intelligence, Atomic and Molecular Physics, and Optics

View Paper: https://www.semanticscholar.org/paper/8303cfed140bea88c65549a8231e746683436f18

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In Artificial Intelligence

In Atomic and Molecular Physics, and Optics

Citations in the corpus

Simulating chemistry using quantum computers. (2010, background): “13, with Hi ∝ ∑ i σ i x as the initial Hamiltonian (60, 58, 49).”
Superconductor digital electronics: Scalability and energy efficiency issues (Review Article) (2016, methodology): “There is no published description of the process, but some information can be found in [31]-[34].”
Quantum Optimization of Fully-Connected Spin Glasses (2014, background): “[23] MW Johnson, P Bunyk, F Maibaum, E Tolkacheva, AJ Berkley, EM Chapple, R Harris, J Johansson, T Lanting, I Perminov, et al.”
Architectural Considerations in the Design of a Superconducting Quantum Annealing Processor (2014, background): “The authors have previously presented the architecture, design, and operation of an SFQbased system for controlling [3] and reading out [4] a quantum annealing processor based on flux qubits [1], [5] at the core of D-Wave One system.”