1.6k citations · 3.3k across the 14 of their papers we have counts for
16 papers
Performance Model for Hybrid Quantum-Classical Workflows
Pooja Rao, Dimitar Trenev, Jerome Gonthier +13
Hybrid quantum-classical workflows are expected to underpin practical quantum computing applications, yet the quantum and HPC communities lack a shared framework for reasoning abou…
Qubit-Efficient Randomized Quantum Algorithms for Linear Algebra
Samson Wang, Sam McArdle, Mario Berta
We propose a class of randomized quantum algorithms for the task of sampling from matrix functions, without the use of quantum block encodings or any other coherent oracle access t…
Quantum state preparation without coherent arithmetic
Sam McArdle, András Gilyén, Mario Berta
We introduce a versatile method for preparing a quantum state whose amplitudes are given by some known function. Unlike existing approaches, our method does not require handcrafted…
A streamlined quantum algorithm for topological data analysis with exponentially fewer qubits
Sam McArdle, András Gilyén, Mario Berta
Topological invariants of a dataset, such as the number of holes that survive from one length scale to another (persistent Betti numbers) can be used to analyze and classify data i…
Exploiting fermion number in factorized decompositions of the electronic structure Hamiltonian
Sam McArdle, Earl Campbell, Yuan Su
Achieving an accurate description of fermionic systems typically requires considerably many more orbitals than fermions. Previous resource analyses of quantum chemistry simulation…
Learning from physics experiments, with quantum computers: Applications in muon spectroscopy
Sam McArdle
Computational physics is an important tool for analysing, verifying, and -- at times -- replacing physical experiments. Nevertheless, simulating quantum systems and analysing quant…