Recent advances for quantum neural networks in generative learning
Quantum computers are next-generation devices that hold promise to perform calculations
beyond the reach of classical computers. A leading method towards achieving this goal is …
beyond the reach of classical computers. A leading method towards achieving this goal is …
Mitigating measurement errors in multiqubit experiments
Reducing measurement errors in multiqubit quantum devices is critical for performing any
quantum algorithm. Here we show how to mitigate measurement errors by a classical …
quantum algorithm. Here we show how to mitigate measurement errors by a classical …
Generation of high-resolution handwritten digits with an ion-trap quantum computer
Generating high-quality data (eg, images or video) is one of the most exciting and
challenging frontiers in unsupervised machine learning. Utilizing quantum computers in …
challenging frontiers in unsupervised machine learning. Utilizing quantum computers in …
Computationally efficient zero-noise extrapolation for quantum-gate-error mitigation
Zero-noise extrapolation (ZNE) is a widely used technique for gate-error mitigation on near-
term quantum computers because it can be implemented in software and does not require …
term quantum computers because it can be implemented in software and does not require …
Measurement error mitigation for variational quantum algorithms
Variational Quantum Algorithms (VQAs) are a promising application for near-term quantum
processors, however the quality of their results is greatly limited by noise. For this reason …
processors, however the quality of their results is greatly limited by noise. For this reason …
Quantum versus classical generative modelling in finance
Finding a concrete use case for quantum computers in the near term is still an open
question, with machine learning typically touted as one of the first fields which will be …
question, with machine learning typically touted as one of the first fields which will be …
Toward efficient correction of multiqubit measurement errors: Pair correlation method
MR Geller, M Sun - Quantum Science and Technology, 2021 - iopscience.iop.org
Measurement errors limit the performance of near-term quantum computers and their
potential for practical application. However they are partly correctable after a calibration step …
potential for practical application. However they are partly correctable after a calibration step …
Rigorous measurement error correction
MR Geller - Quantum Science and Technology, 2020 - iopscience.iop.org
We review an experimental technique used to correct state preparation and measurement
errors on gate-based quantum computers, and discuss its rigorous justification. Within a …
errors on gate-based quantum computers, and discuss its rigorous justification. Within a …
Generalization error bound for quantum machine learning in NISQ era—a survey
Despite the mounting anticipation for the quantum revolution, the success of quantum
machine learning (QML) in the noisy intermediate-scale quantum (NISQ) era hinges on a …
machine learning (QML) in the noisy intermediate-scale quantum (NISQ) era hinges on a …
Application-motivated, holistic benchmarking of a full quantum computing stack
Quantum computing systems need to be benchmarked in terms of practical tasks they would
be expected to do. Here, we propose 3" application-motivated" circuit classes for …
be expected to do. Here, we propose 3" application-motivated" circuit classes for …