Jonathan Allcock

According to our database, Jonathan Allcock authored at least 11 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Does Qubit Connectivity Impact Quantum Circuit Complexity?

Pei Yuan, Jonathan Allcock, Shengyu Zhang

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., February, 2024

2023

TensorCircuit: a Quantum Software Framework for the NISQ Era.

Shi-Xin Zhang, Jonathan Allcock, Zhou-Quan Wan, Shuo Liu, Jiace Sun, Hao Yu, Xing-Han Yang, Jiezhong Qiu, Zhaofeng Ye, Yu-Qin Chen, Chee-Kong Lee, Yicong Zheng, Shao-Kai Jian, Hong Yao, Chang-Yu Hsieh, Shengyu Zhang

Quantum, February, 2023

On the quantum time complexity of divide and conquer.

Jonathan Allcock, Jinge Bao, Aleksandrs Belovs, Troy Lee, Miklos Santha

CoRR, 2023

Constant-depth circuits for Uniformly Controlled Gates and Boolean functions with application to quantum memory circuits.

Jonathan Allcock, Jinge Bao, João F. Doriguello, Alessandro Luongo, Miklos Santha

CoRR, 2023

2022

Quantum Networks with Multiple Service Providers: Transport Layer Protocols and Research Opportunities.

Maoli Liu, Jonathan Allcock, Kechao Cai, Shengyu Zhang, John C. S. Lui

IEEE Netw., 2022

Classical and Quantum Algorithms for Variants of Subset-Sum via Dynamic Programming.

Jonathan Allcock, Yassine Hamoudi, Antoine Joux, Felix Klingelhöfer, Miklos Santha

Proceedings of the 30th Annual European Symposium on Algorithms, 2022

Suppressing ZZ crosstalk of Quantum computers through pulse and scheduling co-optimization.

Lei Xie, Jidong Zhai, Zhenxing Zhang, Jonathan Allcock, Shengyu Zhang, Yicong Zheng

Proceedings of the ASPLOS '22: 27th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Lausanne, Switzerland, 28 February 2022, 2022

2021

Classical and quantum dynamic programming for Subset-Sum and variants.

Jonathan Allcock, Yassine Hamoudi, Antoine Joux, Felix Klingelhöfer, Miklos Santha

CoRR, 2021

2020

A quantum extension of SVM-perf for training nonlinear SVMs in almost linear time.

Jonathan Allcock, Chang-Yu Hsieh

Quantum, 2020

Quantum algorithm for training nonlinear SVMs in almost linear time.

Jonathan Allcock, Chang-Yu Hsieh

CoRR, 2020

2018

Quantum algorithms for feedforward neural networks.

Jonathan Allcock, Chang-Yu Hsieh, Iordanis Kerenidis, Shengyu Zhang

CoRR, 2018