activity
20242026
most citedArtificial Intelligence for Quantum Computing

40 citations · 45 across the 6 of their papers we have counts for

collaborators

8 papers

quant-ph2026

Benchmarking the computational power of quantum computers

Timothy Proctor, Oliver Hart, Oliver Widzowski Maupin +27

Quantum computing hardware is advancing rapidly toward utility-scale machines that will enable scientific breakthroughs. Many teams are pursuing distinct and difficult-to-compare r…

quant-ph2026

Photonic Quantum-Enhanced Knowledge Distillation

Kuan-Cheng Chen, Shang Yu, Chen-Yu Liu +10

Photonic quantum processors naturally produce intrinsically stochastic measurement outcomes, offering a hardware-native source of structured randomness that can be exploited during…

quant-ph2025

Hybrid Classical-Quantum Supercomputing: A demonstration of a multi-user, multi-QPU and multi-GPU environment

Mateusz Slysz, Piotr Rydlichowski, Krzysztof Kurowski +7

Achieving a practical quantum advantage for near-term applications is widely expected to rely on hybrid classical-quantum algorithms. To deliver this practical advantage to users,…

quant-ph2025★ 1 cited

Quantum-Classical Auxiliary Field Quantum Monte Carlo with Matchgate Shadows on Trapped Ion Quantum Computers

Luning Zhao, Joshua J. Goings, Willie Aboumrad +38

We demonstrate an end-to-end workflow to model chemical reaction barriers with the quantum-classical auxiliary field quantum Monte Carlo (QC-AFQMC) algorithm with quantum tomograph…

quant-ph2025★ 3 cited

Synthesis of discrete-continuous quantum circuits with multimodal diffusion models

Florian Fürrutter, Zohim Chandani, Ikko Hamamura +2

Efficiently compiling quantum operations remains a major bottleneck in scaling quantum computing. Today's state-of-the-art methods achieve low compilation error by combining search…

quant-ph2025★ 1 cited

A Hybrid Transformer Architecture with a Quantized Self-Attention Mechanism Applied to Molecular Generation

Anthony M. Smaldone, Yu Shee, Gregory W. Kyro +4

The success of the self-attention mechanism in classical machine learning models has inspired the development of quantum analogs aimed at reducing computational overhead. Self-atte…

quant-ph2024★ 40 cited

Artificial Intelligence for Quantum Computing

Yuri Alexeev, Marwa H. Farag, Taylor L. Patti +25

Artificial intelligence (AI) advancements over the past few years have had an unprecedented and revolutionary impact across everyday application areas. Its significance also extend…

quant-ph2024

Efficient charge-preserving excited state preparation with variational quantum algorithms

Zohim Chandani, Kazuki Ikeda, Zhong-Bo Kang +7

Determining the spectrum and wave functions of excited states of a system is crucial in quantum physics and chemistry. Low-depth quantum algorithms, such as the Variational Quantum…