Jacob D. Biamonte

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 26

Top Topics

Quantum Computing

Matrix Representation

Top Venues

Nat. Comput. Sci.

Quantum Inf. Comput.

Publications

Martin Larocca, Supanut Thanasilp, Samson Wang, Kunal Sharma, Jacob D. Biamonte, Patrick J. Coles, Lukasz Cincio, Jarrod R. McClean, Zoë Holmes, Marco Cerezo
A Review of Barren Plateaus in Variational Quantum Computing. CoRR (2024)
Boris Arseniev, Dmitry Guskov, Richik Sengupta, Jacob D. Biamonte, Igor Zacharov
Construction of a Circuit for the Simulation of a Hamiltonian with a Tridiagonal Matrix Representation. CoRR (2023)
Richik Sengupta, Soumik Adhikary, Ivan Oseledets, Jacob D. Biamonte
Tensor networks in machine learning. CoRR (2022)
Vishwanathan Akshay, H. Philathong, E. Campos, Daniil Rabinovich, Igor Zacharov, Xiao-Ming Zhang, Jacob D. Biamonte
On Circuit Depth Scaling For Quantum Approximate Optimization. CoRR (2022)
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, H. Wang
Experimental quantum adversarial learning with programmable superconducting qubits. CoRR (2022)
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
Experimental quantum adversarial learning with programmable superconducting qubits. Nat. Comput. Sci. 2 (11) (2022)
Richik Sengupta, Jacob D. Biamonte
On Symmetric Pseudo-Boolean Functions: Factorization, Kernels and Applications. CoRR (2022)
Andrey Kardashin, Anna Vlasova, Anastasia Pervishko, Dmitry Yudin, Jacob D. Biamonte
Quantum machine learning channel discrimination. CoRR (2022)
Ernesto Campos, Daniil Rabinovich, Vishwanathan Akshay, Jacob D. Biamonte
Training Saturation in Layerwise Quantum Approximate Optimisation. CoRR (2021)
Vishwanathan Akshay, H. Philathong, Igor Zacharov, Jacob D. Biamonte
Reachability Deficits in Quantum Approximate Optimization of Graph Problems. Quantum 5 (2021)
Alexey Uvarov, Jacob D. Biamonte
On barren plateaus and cost function locality in variational quantum algorithms. CoRR (2020)
Mauro E. S. Morales, Jacob D. Biamonte, Zoltán Zimborás
On the universality of the quantum approximate optimization algorithm. Quantum Inf. Process. 19 (9) (2020)
A. Berezutskii, M. Beketov, Dmitry Yudin, Zoltán Zimborás, Jacob D. Biamonte
Probing Criticality in Quantum Spin Chains with Neural Networks. CoRR (2020)
Andrey Kardashin, Alexey Uvarov, Dmitry Yudin, Jacob D. Biamonte
Self-learning eigenstates with a quantum processor. CoRR (2020)
Arsham Ghavasieh, Massimo Stella, Jacob D. Biamonte, Manlio De Domenico
Unraveling the effects of multiscale network entanglement on disintegration of empirical systems. CoRR (2020)
Alexey Uvarov, Jacob D. Biamonte, Dmitry Yudin
Variational Quantum Eigensolver for Frustrated Quantum Systems. CoRR (2020)
Jacob D. Biamonte
On the Theory of Modern Quantum Algorithms. CoRR (2020)
H. Philathong, Vishwanathan Akshay, Igor Zacharov, Jacob D. Biamonte
Computational Phase Transition Signature in Gibbs Sampling. CoRR (2019)
Alexey Uvarov, Andrey Kardashin, Jacob D. Biamonte
Machine Learning Phase Transitions with a Quantum Processor. CoRR (2019)
Adriano Macarone Palmieri, Egor Kovlakov, Federico Bianchi, Dmitry Yudin, Stanislav Straupe, Jacob D. Biamonte, Sergei Kulik
Experimental neural network enhanced quantum tomography. CoRR (2019)
Vishwanathan Akshay, H. Philathong, Mauro E. S. Morales, Jacob D. Biamonte
Reachability Deficits in Quantum Approximate Optimization. CoRR (2019)
Jacob D. Biamonte
Quantum Machine Learning Matrix Product States. CoRR (2018)
Vito M. Leli, Saeed Osat, Timur Tlyachev, Jacob D. Biamonte
Deep Learning Super-Diffusion in Multiplex Networks. CoRR (2018)
Jacob D. Biamonte, Mauro E. S. Morales, Dax Enshan Koh
Quantum Supremacy Lower Bounds by Entanglement Scaling. CoRR (2018)
Jacob D. Biamonte, Mauro Faccin, Manlio De Domenico
Complex Networks: from Classical to Quantum. CoRR (2017)
Jacob D. Biamonte, Peter Wittek, Nicola Pancotti, Patrick Rebentrost, Nathan Wiebe, Seth Lloyd
Quantum machine learning. Nat. 549 (7671) (2017)
Christopher J. Wood, Jacob D. Biamonte, David G. Cory
Tensor networks and graphical calculus for open quantum systems. Quantum Inf. Comput. 15 (9&10) (2015)
Jacob D. Biamonte, Jason Morton, Jacob W. Turner
Tensor Network Contractions for #SAT. CoRR (2014)
Jacob D. Biamonte, Jeff S. Allen, Marek A. Perkowski
Fault Models for Quantum Mechanical Switching Networks. J. Electron. Test. 26 (5) (2010)
Jacob D. Biamonte, Stephen R. Clark, Dieter Jaksch
Categorical Tensor Network States CoRR (2010)
Jacob D. Biamonte
The Computational Power of Minkowski Spacetime CoRR (2009)
Guowu Yang, Xiaoyu Song, Marek A. Perkowski, William N. N. Hung, Jacob D. Biamonte, Zhiwei Tang
Four-level realisation of 3-qubit reversible functions. IET Comput. Digit. Tech. 1 (4) (2007)
Soonchil Lee, Seong-Joo Lee, Taegon Kim, Jae-Seung Lee, Jacob D. Biamonte, Marek A. Perkowski
The Cost of Quantum Gate Primitives. J. Multiple Valued Log. Soft Comput. 12 (5-6) (2006)
Marek A. Perkowski, Jacob D. Biamonte, Martin Lukac
Test Generation and Fault Localization for Quantum Circuits. ISMVL (2005)