activity
20182021
most citedScalable Benchmarks for Gate-Based Quantum Computers

25 citations · 55 across the 5 of their papers we have counts for

collaborators

11 papers

quant-ph20213 cited

Phase Estimation of Local Hamiltonians on NISQ Hardware

Laura Clinton, Johannes Bausch, Joel Klassen +1

In this work we investigate a binned version of Quantum Phase Estimation (QPE) set out by [Somma 2019] and known as the Quantum Eigenvalue Estimation Problem (QEEP). Specifically,…

quant-ph20211 cited

The Complexity of Approximating Critical Points of Quantum Phase Transitions

James D. Watson, Johannes Bausch

Phase diagrams chart material properties with respect to one or more external or internal parameters such as pressure or magnetisation; as such, they play a fundamental role in man…

quant-ph202125 cited

Scalable Benchmarks for Gate-Based Quantum Computers

Arjan Cornelissen, Johannes Bausch, András Gilyén

In the near-term "NISQ"-era of noisy, intermediate-scale, quantum hardware and beyond, reliably determining the quality of quantum devices becomes increasingly important: users nee…

cs.LG202021 cited

Recurrent Quantum Neural Networks

Johannes Bausch

Recurrent neural networks are the foundation of many sequence-to-sequence models in machine learning, such as machine translation and speech synthesis. In contrast, applied quantum…

quant-ph2020

Mitigating Errors in Local Fermionic Encodings

Johannes Bausch, Toby Cubitt, Charles Derby +1

Quantum simulations of fermionic many-body systems crucially rely on mappings from indistinguishable fermions to distinguishable qubits. The non-local structure of fermionic Fock s…

quant-ph20205 cited

Universal Translationally-Invariant Hamiltonians

Stephen Piddock, Johannes Bausch

In this work we extend the notion of universal quantum Hamiltonians to the setting of translationally-invariant systems. We present a construction that allows a two-dimensional spi…