Research Profile

    H-index: 9 (July 2020)
    To find out more about how my h-index is calculated, click here

      Scroll down to see my publications, or see my arxiv profile

      Particle Physics

      Recent Highlight

      In September 2020 I was invited to give a theory review of heavy exotic spectroscopy for the 19th international Beauty 2020 Conference. Below are the video and slides of my review talk, given remotely during the covid pandemic.

      Publications

      2020

      Y. Lin, A. Meyer, S. Gottlieb, C. Hughes, A. Kronfeld, J. Simone & A. Strelchenko,
      Computing Nucleon Charges with Highly Improved Staggered Quarks, arxiv:2010.10455[hep-lat] (Under Review)

      2019

      Y. Lin, A. Meyer, C. Hughes, A. Kronfeld, J. Simone & A. Strelchenko,
      Nucleon Mass with Highly Improved Staggered Quarks,
      arxiv:1911.12256[hep-lat] (Under Review)

      2019

      E. Eicthen, C. Hughes,
      Exploring S-Wave Threshold Effects in QCD: A Heavy-Light Approach,
      arXiv:1911.02024 [hep-lat] Phys. Let. B 802, 135250

      2018

      C. T. H. Davies, J. Harrison, C. Hughes, R. R. Horgan, G. von Hippel & M. Wingate,
      Improving the Kinetic Couplings of NRQCD,
      arXiv:1812.11639[hep-lat] Phys. Rev. D 99, 054502

      2017

      C. Hughes, C. T. H. Davies, & C. J. Monahan,
      New methods for B meson decay constants and form factors from lattice NRQCD,
      arXiv:1711.09981 [hep-lat] Phys. Rev. D97, 054509

      2017

      C. Hughes, E. Eichten & C. T. H. Davies,
      The Search for Beauty-fully Bound Tetraquarks Using Lattice Non-Relativistic QCD,
      arXiv:1710.03236 [hep-lat] Phys. Rev. D 97, 054505

      2015

      C. Hughes, R. J. Dowdall, C. T. H. Davies, R. R. Horgan, G. von Hippel & M. Wingate,
      Hindered M1 Radiative Decay of \(\Upsilon(2S)\) from Lattice NRQCD,
      arXiv:1508.01694 [hep-lat] Phys. Rev. D. 92, 094501

      2015

      R. J. Dowdall, C. T. H. Davies, T. Hammant, R. R. Horgan & C. Hughes,
      Bottomonium hyperfine splittings from lattice NRQCD including radiative and relativistic corrections,
      arXiv:1309.5797 [hep-lat] Phys. Rev. D 92, 039904

      2013

      C. Hughes, D. Mehta, J. Skullerud,
      Enumerating Gribov Copies on the Lattice,
      arXiv:1203.4847 [hep-lat] Annals of Physics 331, 188-215

      Quantum Computing &
      Quantum Information Science

      Recent Highlight

      In Digitizing Gauge Fields: Lattice Monte Carlo Results for Future Quantum Computers, my collaborators and I explored a novel digitization methodology for implementing gauge fields on a digital quantum computer and encouragingly found that in a \((3+1)\)-dimensional \( SU(2) \) gauge theory, each gauge link can be represented by \(\mathcal{O}(10)\) (qu)bits, from which we estimate that a \(16^3\) \(SU(2) \) lattice could be simulated with no more than \(\mathcal{O}(105)\) (qu)bits. These are very promisingly results for the NISQ quantum computing era.

      Publications

      2021

      C. Hughes, E. Eichten,
      The Lattice Signal-to-Noise Problem Reformulated As A Quantum Dissapative Process,
      In Progress

      2018

      D. Hackett, K. Howe, C. Hughes, W. Jay, E. Neil & J. Simone,
      Digitizing Gauge Fields: Lattice Monte Carlo Results for Future Quantum Computers, arXiv:1811.03629 [quant-ph] Phys. Rev. A 99, 062341

      Education

      Recent Highlight

      By Teaching Quantum Computing to High School Students in classrooms, my collaborators and I show evidence of the successful efficacy of the "Quantum Computing for High School Students" book that I co-authored. This is emphasised in Fig. 4 of our work.

      Education Plot

      Education

      See my Books & Education page for more on how my education research has social impact.

      2020

      C. Hughes, Joshua Isaacson, Anastasia Perry, Ranbel Sun, & Jessica Turner,
      Teaching Quantum Computing to High-School Students,
      arxiv:2004.07206[ed-ph] (Under Review)

      AI And Machine Learning

      Recent Highlight

      In Using Deepfakes to Hack the Unconscious Mind, my collaborators and I show that genuine and deepfake (AI manipulated/generated material - potentially of a specific human target) audio/video material effects humans very similarly. Specifically, we find that a substantial number of humans cannot detect a deepfake if shown, that deepfakes and genuine material effect humans to similar extents (shown below), and even if a human knows that they are shown a deepfake, then they can still be effected by it unconsciously. This allows a dangerous failure mode in the post-truth era.

      Deepfake Plot

      Publications

      2021

      Sean Hughes, Ohad Fried, Melissa Ferguson, David Yao, C. Hughes, Rian Hughes, & Ian Hussey
      Using Deepfakes to Hack the Unconscious Mind,
      Submitted to Science

      2021

      Kimmy Cushman, George Fleming, Ciaran Hughes, James Simone, Joshua Isaacson, Yin Lin,
      Do Normalizing Flows Learn Long Distance Physics?, In Progress

      Statistical Physics &
      Computational Chemistry

      Recent Highlight

      In these works, my collaborators and I study the two dimensional XY spin model, and apply statistical learning techniques in order to quantify the stationary points. Of particular importance are the minima and the index-1 stationary points, with which, we can visualise the disconnectivity graph in order to understand how transitions between states of matter occur. We also formulate a new algorithm, the inversion-relaxation technique, which guarantees to find all stationary points and is also far more efficient than previous methods.

      Publications

      2014

      C. Hughes, D. Mehta & D. Wales,
      An inversion-relaxation approach for sampling stationary points of spin model Hamiltonians, J. Chem. Phys. 140, 194104

      2014

      D. Mehta, C. Hughes, M. Kastner & D. Wales,
      Potential energy landscape of the two-dimensional XY model: Higher-index stationary points, J. Chem. Phys. 140, 224503

      2013

      D. Mehta, C. Hughes, M. Schrock, & D. Wales,
      Potential Energy Landscapes for the 2D XY Model: Minima, Transition States and Pathways, J. Chem. Phys. 139, 194503

      H-Index

      Due to the breadth and interdisciplinary nature of my research, websites like inspires, arxiv, and google scholar will underestimate my citation record and therefore h-index. As an example, inspire will only include high-energy physics publications in their citation count. Consequently, my statistical physics/chemistry/education/AI work will not count towards the inspires h-index count, and the inspires citation will only be a lower bound of my combined work. Similar effects happen with google scholar. It is thus necessary to scrape multiple websites like google scholar/inspires/etc to obtain an accurate citation count, and combine these to form an accurate h-index. This is also straightforward to eyeball the websites and observe this effect.