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most citedThe nitrogen-vacancy colour centre in diamond

2.8k citations · 14.6k across the 173 of their papers we have counts for

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10 papers · 1 filter

quant-ph2023★ 1 cited

Arbitrary Ground State Observables from Quantum Computed Moments

Harish J. Vallury, Lloyd C. L. Hollenberg

The determination of ground state properties of quantum systems is a fundamental problem in physics and chemistry, and is considered a key application of quantum computers. A commo…

quant-ph2023★ 21 cited

Characterization of entanglement on superconducting quantum computers of up to 414 qubits

John F Kam, Haiyue Kang, Charles D Hill +2

As quantum technology advances and the size of quantum computers grow, it becomes increasingly important to understand the extent of quality in the devices. As large-scale entangle…

quant-ph2023★ 2 cited

Kernel Alignment for Quantum Support Vector Machines Using Genetic Algorithms

Floyd M. Creevey, Jamie A. Heredge, Martin E. Sevior +1

The data encoding circuits used in quantum support vector machine (QSVM) kernels play a crucial role in their classification accuracy. However, manually designing these circuits po…

quant-ph2023★ 7 cited

Precision ground-state energy calculation for the water molecule on a superconducting quantum processor

Michael A. Jones, Harish J. Vallury, Lloyd C. L. Hollenberg

The accurate computation of properties of large molecular systems is classically infeasible and is one of the applications in which it is hoped that quantum computers will demonstr…

quant-ph2023★ 7 cited

Quantum computer error structure probed by quantum error correction syndrome measurements

Spiro Gicev, Lloyd C. L. Hollenberg, Muhammad Usman

With quantum devices rapidly approaching qualities and scales needed for fault tolerance, the validity of simplified error models underpinning the study of quantum error correction…

quant-ph2023★ 26 cited

Drastic Circuit Depth Reductions with Preserved Adversarial Robustness by Approximate Encoding for Quantum Machine Learning

Maxwell T. West, Azar C. Nakhl, Jamie Heredge +4

Quantum machine learning (QML) is emerging as an application of quantum computing with the potential to deliver quantum advantage, but its realisation for practical applications re…