41 citations · 193 across the 18 of their papers we have counts for
18 papers
A no free lunch theorem for untrained quantum circuits in machine learning
Steven Herbert
This paper proves that if an untrained quantum circuit is used as a resource in a machine learning workflow, then on average no quantum circuit is better than any other that can ac…
A Modular Engine for Quantum Monte Carlo Integration
Ismail Yunus Akhalwaya, Adam Connolly, Roland Guichard +8
We present the Quantum Monte Carlo Integration (QMCI) engine developed by Quantinuum. It is a quantum computational tool for evaluating multi-dimensional integrals that arise in va…
Quantum Computing for Data Centric Engineering and Science
Steven Herbert
In this perspective I give my answer to the question of how quantum computing will impact on data-intensive applications in engineering and science. I focus on quantum Monte Carlo…
Running the Dual-PQC GAN on noisy simulators and real quantum hardware
Su Yeon Chang, Edwin Agnew, Elías F. Combarro +3
In an earlier work, we introduced dual-Parameterized Quantum Circuit (PQC) Generative Adversarial Networks (GAN), an advanced prototype of a quantum GAN. We applied the model on a…
Every Classical Sampling Circuit is a Quantum Sampling Circuit
Steven Herbert
This note introduces "Q-marginals", which are quantum states encoding some probability distribution in a manner suitable for use in Quantum Monte Carlo Integration (QMCI), and show…
Fast Stabiliser Simulation with Quadratic Form Expansions
Niel de Beaudrap, Steven Herbert
This paper builds on the idea of simulating stabiliser circuits through transformations of quadratic form expansions. This is a representation of a quantum state which specifies a…