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20172026
most citedSegment Anything in Medical Images

2.8k citations

Showing 2021 · quant-phShow all

13 papers · 2 filters

quant-ph2021★ 11 cited

Measurement-induced entanglement phase transitions in variational quantum circuits

Roeland Wiersema, Cunlu Zhou, Juan Felipe Carrasquilla +1

Variational quantum algorithms (VQAs), which classically optimize a parametrized quantum circuit to solve a computational task, promise to advance our understanding of quantum many…

quant-ph2021★ 31 cited

Learning quantum dynamics with latent neural ODEs

Matthew Choi, Daniel Flam-Shepherd, Thi Ha Kyaw +1

The core objective of machine-assisted scientific discovery is to learn physical laws from experimental data without prior knowledge of the systems in question. In the area of quan…

quant-ph2021★ 6 cited

Toward Reliability in the NISQ Era: Robust Interval Guarantee for Quantum Measurements on Approximate States

Maurice Weber, Abhinav Anand, Alba Cervera-Lierta +6

Near-term quantum computation holds potential across multiple application domains. However, imperfect preparation and evolution of states due to algorithmic and experimental shortc…

quant-ph2021★ 29 cited

Improving the Accuracy of the Variational Quantum Eigensolver for Molecular Systems by the Explicitly-Correlated Perturbative [2]-R12-Correction

Philipp Schleich, Jakob S. Kottmann, Alán Aspuru-Guzik

We provide an integration of the universal, perturbative explicitly correlated [2]-correction in the context of the Variational Quantum Eigensolver (VQE). This approac…

quant-ph2021★ 234 cited

A Quantum Computing View on Unitary Coupled Cluster Theory

Abhinav Anand, Philipp Schleich, Sumner Alperin-Lea +7

We present a review of the Unitary Coupled Cluster (UCC) ansatz and related ansätze which are used to variationally solve the electronic structure problem on quantum computers. A b…

quant-ph2021★ 17 cited

Design of quantum optical experiments with logic artificial intelligence

Alba Cervera-Lierta, Mario Krenn, Alán Aspuru-Guzik

Logic Artificial Intelligence (AI) is a subfield of AI where variables can take two defined arguments, True or False, and are arranged in clauses that follow the rules of formal lo…