Jacob D. Biamonte

According to our database, Jacob D. Biamonte authored at least 33 papers between 2005 and 2024.

Collaborative distances:

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

2024

A Review of Barren Plateaus in Variational Quantum Computing.

Martin Larocca, Supanut Thanasilp, Samson Wang, Kunal Sharma, Jacob D. Biamonte, Patrick J. Coles, Lukasz Cincio, Jarrod R. McClean, Zoë Holmes, Marco Cerezo

CoRR, 2024

2023

Construction of a Circuit for the Simulation of a Hamiltonian with a Tridiagonal Matrix Representation.

Boris Arseniev, Dmitry Guskov, Richik Sengupta, Jacob D. Biamonte, Igor Zacharov

CoRR, 2023

2022

Experimental quantum adversarial learning with programmable superconducting qubits.

Wenhui Ren, Weikang Li, Shibo Xu, Ke Wang, Wenjie Jiang, Feitong Jin, Xuhao Zhu, Jiachen Chen, Zixuan Song, Pengfei Zhang, Hang Dong, Xu Zhang, Jinfeng Deng, Yu Gao, Chuanyu Zhang, Yaozu Wu, Bing Zhang, Qiujiang Guo, Hekang Li, Zhen Wang, Jacob D. Biamonte, Chao Song, Dong-Ling Deng, Haohua Wang

Nat. Comput. Sci., 2022

On Symmetric Pseudo-Boolean Functions: Factorization, Kernels and Applications.

Richik Sengupta, Jacob D. Biamonte

CoRR, 2022

Tensor networks in machine learning.

Richik Sengupta, Soumik Adhikary, Ivan V. Oseledets, Jacob D. Biamonte

CoRR, 2022

Quantum machine learning channel discrimination.

Andrey Kardashin, Anna Vlasova, Anastasia Pervishko, Dmitry Yudin, Jacob D. Biamonte

CoRR, 2022

On Circuit Depth Scaling For Quantum Approximate Optimization.

Vishwanathan Akshay, H. Philathong, E. Campos, Daniil Rabinovich, Igor Zacharov, Xiao-Ming Zhang, Jacob D. Biamonte

CoRR, 2022

2021

Reachability Deficits in Quantum Approximate Optimization of Graph Problems.

Vishwanathan Akshay, H. Philathong, Igor Zacharov, Jacob D. Biamonte

Quantum, 2021

Training Saturation in Layerwise Quantum Approximate Optimisation.

Ernesto Campos, Daniil Rabinovich, Vishwanathan Akshay, Jacob D. Biamonte

CoRR, 2021

2020

On the universality of the quantum approximate optimization algorithm.

Mauro E. S. Morales, Jacob D. Biamonte, Zoltán Zimborás

Quantum Inf. Process., 2020

On barren plateaus and cost function locality in variational quantum algorithms.

Alexey Uvarov, Jacob D. Biamonte

CoRR, 2020

On the Theory of Modern Quantum Algorithms.

Jacob D. Biamonte

CoRR, 2020

Unraveling the effects of multiscale network entanglement on disintegration of empirical systems.

Arsham Ghavasieh, Massimo Stella, Jacob D. Biamonte, Manlio De Domenico

CoRR, 2020

Self-learning eigenstates with a quantum processor.

Andrey Kardashin, Alexey Uvarov, Dmitry Yudin, Jacob D. Biamonte

CoRR, 2020

Probing Criticality in Quantum Spin Chains with Neural Networks.

A. Berezutskii, M. Beketov, Dmitry Yudin, Zoltán Zimborás, Jacob D. Biamonte

CoRR, 2020

Variational Quantum Eigensolver for Frustrated Quantum Systems.

Alexey Uvarov, Jacob D. Biamonte, Dmitry Yudin

CoRR, 2020

2019

Reachability Deficits in Quantum Approximate Optimization.

Vishwanathan Akshay, H. Philathong, Mauro E. S. Morales, Jacob D. Biamonte

CoRR, 2019

Computational Phase Transition Signature in Gibbs Sampling.

H. Philathong, Vishwanathan Akshay, Igor Zacharov, Jacob D. Biamonte

CoRR, 2019

Machine Learning Phase Transitions with a Quantum Processor.

Alexey Uvarov, Andrey Kardashin, Jacob D. Biamonte

CoRR, 2019

Experimental neural network enhanced quantum tomography.

Adriano Macarone Palmieri, Egor Kovlakov, Federico Bianchi, Dmitry Yudin, Stanislav Straupe, Jacob D. Biamonte, Sergei Kulik

CoRR, 2019

2018

Deep Learning Super-Diffusion in Multiplex Networks.

Vito M. Leli, Saeed Osat, Timur Tlyachev, Jacob D. Biamonte

CoRR, 2018

Quantum Supremacy Lower Bounds by Entanglement Scaling.

Jacob D. Biamonte, Mauro E. S. Morales, Dax Enshan Koh

CoRR, 2018

Quantum Machine Learning Matrix Product States.

Jacob D. Biamonte

CoRR, 2018

2017

Quantum machine learning.

Jacob D. Biamonte, Peter Wittek, Nicola Pancotti, Patrick Rebentrost, Nathan Wiebe, Seth Lloyd

Nat., 2017

Complex Networks: from Classical to Quantum.

Jacob D. Biamonte, Mauro Faccin, Manlio De Domenico

CoRR, 2017

2015

Tensor networks and graphical calculus for open quantum systems.

Christopher J. Wood, Jacob D. Biamonte, David G. Cory

Quantum Inf. Comput., 2015

2014

Tensor Network Contractions for #SAT.

Jacob D. Biamonte, Jason Morton, Jacob W. Turner

CoRR, 2014

2010

Fault Models for Quantum Mechanical Switching Networks.

Jacob D. Biamonte, Jeff S. Allen, Marek A. Perkowski

J. Electron. Test., 2010

Categorical Tensor Network States

Jacob D. Biamonte, Stephen R. Clark, Dieter Jaksch

CoRR, 2010

2009

The Computational Power of Minkowski Spacetime

Jacob D. Biamonte

CoRR, 2009

2007

Four-level realisation of 3-qubit reversible functions.

Guowu Yang, Xiaoyu Song, Marek A. Perkowski, William N. N. Hung, Jacob D. Biamonte, Zhiwei Tang

IET Comput. Digit. Tech., 2007

2006

The Cost of Quantum Gate Primitives.

Soonchil Lee, Seong-Joo Lee, Taegon Kim, Jae-Seung Lee, Jacob D. Biamonte, Marek A. Perkowski

J. Multiple Valued Log. Soft Comput., 2006

2005

Test Generation and Fault Localization for Quantum Circuits.

Marek A. Perkowski, Jacob D. Biamonte, Martin Lukac

Proceedings of the 35th IEEE International Symposium on Multiple-Valued Logic (ISMVL 2005), 2005