297 citations · 1.4k across the 44 of their papers we have counts for
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Graphical Structures for Design and Verification of Quantum Error Correction
Nicholas Chancellor, Aleks Kissinger, Joschka Roffe +2
We introduce a high-level graphical framework for designing and analysing quantum error correcting codes, centred on what we term the coherent parity check (CPC). The graphical for…
Quantum walk transport properties on graphene structures
Hamza Bougroura, Habib Aissaoui, Nicholas Chancellor +1
We present numerical studies of quantum walks on \C60 and related graphene structures, to investigate their transport properties. Also known as a \emph{honeycomb lattice}, the latt…
Modernizing Quantum Annealing II: Genetic algorithms with the Inference Primitive Formalism
Nicholas Chancellor
Quantum annealing allows for quantum fluctuations to be used used to assist in finding the solution to some of the worlds most challenging computational problems. Recently, this fi…
An Overview of Approaches to Modernize Quantum Annealing Using Local Searches
Nicholas Chancellor
I describe how real quantum annealers may be used to perform local (in state space) searches around specified states, rather than the global searches traditionally implemented in t…
Modernizing Quantum Annealing using Local Searches
Nicholas Chancellor
I describe how real quantum annealers may be used to perform local (in state space) searches around specified states, rather than the global searches traditionally implemented in t…
Experimental Freezing of mid-Evolution Fluctuations with a Programmable Annealer
Nicholas Chancellor, Gabriel Aeppli, Paul A. Warburton
For randomly selected couplers and fields, the D-Wave device typically yields a highly Boltzmann like distribution [ indicating equilibration. These equilibrated data however do no…
Circuit design for multi-body interactions in superconducting quantum annealing system with applications to a scalable architecture
Nicholas Chancellor, Stefan Zohren, Paul A. Warburton
Quantum annealing provides a way of solving optimization problems by encoding them as Ising spin models which are implemented using physical qubits. The solution of the optimizatio…