16 citations · 36 across the 5 of their papers we have counts for
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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…
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…
Dual-Parameterized Quantum Circuit GAN Model in High Energy Physics
Su Yeon Chang, Steven Herbert, Sofia Vallecorsa +2
Generative models, and Generative Adversarial Networks (GAN) in particular, are being studied as possible alternatives to Monte Carlo simulations. It has been proposed that, in cer…
The Problem with Grover-Rudolph State Preparation for Quantum Monte-Carlo
Steven Herbert
We prove that there is no quantum speed-up when using quantum Monte-Carlo to estimate the mean (and other moments) of analytically-defined log-concave probability distributions pre…
Using Reinforcement Learning to Perform Qubit Routing in Quantum Compilers
Matteo G. Pozzi, Steven J. Herbert, Akash Sengupta +1
"Qubit routing" refers to the task of modifying quantum circuits so that they satisfy the connectivity constraints of a target quantum computer. This involves inserting SWAP gates…
Efficient Qubit Routing for a Globally Connected Trapped Ion Quantum Computer
Mark Webber, Steven Herbert, Sebastian Weidt +1
The cost of enabling connectivity in Noisy-Intermediate-Scale-Quantum devices is an important factor in determining computational power. We have created a qubit routing algorithm w…