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Divide-and-conquer embedding for QUBO quantum annealing
Minjae Jo, Michael Hanks, M. S. Kim
Quantum annealing promises to be an effective heuristic for complex NP-hard problems. However, clear demonstrations of quantum advantage are wanting, primarily constrained by the d…
Aggregating Quantum Networks
Nicolo Lo Piparo, Michael Hanks, Kae Nemoto +1
Quantum networking allows the transmission of information in ways unavailable in the classical world. Single packets of information can now be split and transmitted in a coherent w…
Decoding Quantum Error Correction Codes with Local Variation
Michael Hanks, William J. Munro, Kae Nemoto
In this paper we investigate the role of local information in the decoding of the repetition and surface error correction codes for the protection of quantum states. Our key result…
Effective Compression of Quantum Braided Circuits Aided by ZX-Calculus
Michael Hanks, Marta P. Estarellas, William J. Munro +1
Mapping a quantum algorithm to any practical large-scale quantum computer will require a sequence of compilations and optimizations. At the level of fault-tolerant encoding, one li…
Resource reduction for distributed quantum information processing using quantum multiplexed photons
Nicolo Lo Piparo, Michael Hanks, Claude Gravel +2
Distributed quantum information processing is based on the transmission of quantum data over lossy channels between quantum processing nodes. These nodes may be separated by a few…
High-Fidelity Spin Measurement on the Nitrogen-Vacancy Center
Michael Hanks, Michael Trupke, Jörg Schmiedmayer +2
Nitrogen-vacancy (NV) centers in diamond are versatile candidates for many quantum information processing tasks, ranging from quantum imaging and sensing through to quantum communi…