publications

Recent selected publications from the QIC group.

2024

  1. arXiv preprint
    Exact gradients for linear optics with single photons
    Giorgio Facelli, David D Roberts, Hugo Wallner, and 3 more authors
    arXiv preprint arXiv:2409.16369, 2024
  2. arXiv preprint
    Double-bracket quantum algorithms for high-fidelity ground state preparation
    Matteo Robbiati, Edoardo Pedicillo, Andrea Pasquale, and 8 more authors
    arXiv preprint arXiv:2408.03987, 2024
  3. arXiv preprint
    Classically estimating observables of noiseless quantum circuits
    Armando Angrisani, Alexander Schmidhuber, Manuel S Rudolph, and 3 more authors
    arXiv preprint arXiv:2409.01706, 2024
  4. arXiv preprint
    Quantum Convolutional Neural Networks are (Effectively) Classically Simulable
    Pablo Bermejo, Paolo Braccia, Manuel S Rudolph, and 3 more authors
    arXiv preprint arXiv:2408.12739, 2024
  5. nature comms
    Exponential concentration in quantum kernel methods
    Supanut Thanasilp, Samson Wang, M. Cerezo, and 1 more author
    Nature Communications, 2024

2023

  1. arXiv preprint
    Dual-VQE: A quantum algorithm to lower bound the ground-state energy
    Hanna Westerheim, Jingxuan Chen, Zoë Holmes, and 6 more authors
    Dec 2023
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  2. arXiv preprint
    On fundamental aspects of quantum extreme learning machines
    Weijie Xiong, Giorgio Facelli, Mehrad Sahebi, and 4 more authors
    arXiv preprint arXiv:2312.15124, Dec 2023
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  3. arXiv preprint
    Does provable absence of barren plateaus imply classical simulability? Or, why we need to rethink variational quantum computing
    M Cerezo, Martin Larocca, Diego Garcı́a-Martı́n, and 8 more authors
    arXiv preprint arXiv:2312.09121, Dec 2023
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  4. arXiv preprint
    Classical surrogate simulation of quantum systems with LOWESA
    Manuel S. Rudolph, Enrico Fontana, Zoë Holmes, and 1 more author
    Aug 2023
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  5. arXiv preprint
    Trainability barriers and opportunities in quantum generative modeling
    Manuel S. Rudolph, Sacha Lerch, Supanut Thanasilp, and 4 more authors
    May 2023
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  6. arXiv preprint
    Large-scale simulations of Floquet physics on near-term quantum computers
    Timo Eckstein, Refik Mansuroglu, Piotr Czarnik, and 5 more authors
    arXiv preprint arXiv:2303.02209, Mar 2023
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  7. NatComms
    Out-of-distribution generalization for learning quantum dynamics
    Matthias C. Caro, Hsin-Yuan Huang, Nicholas Ezzell, and 5 more authors
    NatComms, May 2023
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  8. arXiv preprint
    The power and limitations of learning quantum dynamics incoherently
    Sofiene Jerbi, Joe Gibbs, Manuel S. Rudolph, and 4 more authors
    May 2023
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2022

  1. npj
    Long-time simulations with high fidelity on quantum hardware
    Joe Gibbs, Kaitlin Gili, Zoë Holmes, and 5 more authors
    Nov 2022
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  2. prx-quantum
    Connecting Ansatz Expressibility to Gradient Magnitudes and Barren Plateaus
    Zoë Holmes, Kunal Sharma, M. Cerezo, and 1 more author
    PRX Quantum, Jan 2022
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  3. Quantum
    Quantum algorithms from fluctuation theorems: Thermal-state preparation
    Zoe Holmes, Gopikrishnan Muraleedharan, Rolando D. Somma, and 2 more authors
    Quantum, Oct 2022
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  4. arXiv preprint
    Dynamical simulation via quantum machine learning with provable generalization
    Joe Gibbs, Zoë Holmes, Matthias C. Caro, and 5 more authors
    Apr 2022
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