Quantum simulations of hadron dynamics in the Schwinger model using 112 qubits

RC Farrell, M Illa, AN Ciavarella, MJ Savage - Physical Review D, 2024 - APS
Hadron wave packets are prepared and time evolved in the Schwinger model using 112
qubits of IBM's 133-qubit Heron quantum computer ibm_torino. The initialization of the …

Large-scale quantum approximate optimization on nonplanar graphs with machine learning noise mitigation

SH Sack, DJ Egger - Physical Review Research, 2024 - APS
Quantum computers are increasing in size and quality but are still very noisy. Error
mitigation extends the size of the quantum circuits that noisy devices can meaningfully …

Assessing the benefits and risks of quantum computers

TL Scholten, CJ Williams, D Moody, M Mosca… - arXiv preprint arXiv …, 2024 - arxiv.org
Quantum computing is an emerging technology with potentially far-reaching implications for
national prosperity and security. Understanding the timeframes over which economic …

A machine learning-based error mitigation approach for reliable software development on IBM's quantum computers

A Muqeet, S Ali, T Yue, P Arcaini - Companion Proceedings of the 32nd …, 2024 - dl.acm.org
Quantum computers have the potential to outperform classical computers for some complex
computational problems. However, current quantum computers (eg, from IBM and Google) …

Quantum Artificial Intelligence: A Brief Survey

M Klusch, J Lässig, D Müssig, A Macaluso… - KI-Künstliche …, 2024 - Springer
Abstract Quantum Artificial Intelligence (QAI) is the intersection of quantum computing and
AI, a technological synergy with expected significant benefits for both. In this paper, we …

Strategies and Trade-Offs for Controllability and Memory Time of Ultra-High-Quality Microwave Cavities in Circuit Quantum Electrodynamics

I Pietikäinen, O Černotík, A Eickbusch, A Maiti… - PRX Quantum, 2024 - APS
Three-dimensional microwave cavity resonators have been shown to reach lifetimes of the
order of a second by maximizing the cavity volume relative to its surface, using better …

Quantum error mitigation and correction mediated by Yang-Baxter equation and artificial neural network

S Gulania, Y Alexeev, SK Gray, B Peng… - arXiv preprint arXiv …, 2024 - arxiv.org
Quantum computing shows great potential, but errors pose a significant challenge. This
study explores new strategies for mitigating quantum errors using artificial neural networks …

Circuit-noise-resilient virtual distillation

XY Xu, C Ding, S Zhang, WS Bao… - Communications Physics, 2024 - nature.com
Quantum error mitigation (QEM) is vital for improving quantum algorithms' accuracy on noisy
near-term devices. A typical QEM method, called Virtual Distillation (VD), can suffer from …

Flexible Error Mitigation of Quantum Processes with Data Augmentation Empowered Neural Model

M Liao, Y Zhu, G Chiribella, Y Yang - arXiv preprint arXiv:2311.01727, 2023 - arxiv.org
Neural networks have shown their effectiveness in various tasks in the realm of quantum
computing. However, their application in quantum error mitigation, a crucial step towards …

[HTML][HTML] Synergy between noisy quantum computers and scalable classical deep learning for quantum error mitigation

S Cantori, A Mari, D Vitali, S Pilati - EPJ Quantum Technology, 2024 - Springer
We investigate the potential of combining the computational power of noisy quantum
computers and of classical scalable convolutional neural networks (CNNs). The goal is to …