Jacob D. Biamonte

35 papers Journal 34Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Improving Quantum Approximate Optimization by Noise-Directed Adaptive Remapping. Quantum Filip B. Maciejewski, Jacob D. Biamonte, Stuart Hadfield, Davide Venturelli
2024	J	`jnl`	A Review of Barren Plateaus in Variational Quantum Computing. CoRR Martin Larocca, Supanut Thanasilp, Samson Wang, Kunal Sharma, Jacob D. Biamonte, Patrick J. Coles, Lukasz Cincio, Jarrod R. McClean, Zoë Holmes, Marco Cerezo
2023	J	`jnl`	Construction of a Circuit for the Simulation of a Hamiltonian with a Tridiagonal Matrix Representation. CoRR Boris Arseniev, Dmitry Guskov, Richik Sengupta, Jacob D. Biamonte, Igor Zacharov
2022	J	`jnl`	Experimental quantum adversarial learning with programmable superconducting qubits. CoRR 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
2022	J	`jnl`	Experimental quantum adversarial learning with programmable superconducting qubits. Nat. Comput. Sci. 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
2022	J	`jnl`	On Circuit Depth Scaling For Quantum Approximate Optimization. CoRR Vishwanathan Akshay, H. Philathong, E. Campos, Daniil Rabinovich, Igor Zacharov, Xiao-Ming Zhang, Jacob D. Biamonte
2022	J	`jnl`	On Symmetric Pseudo-Boolean Functions: Factorization, Kernels and Applications. CoRR Richik Sengupta, Jacob D. Biamonte
2022	J	`jnl`	Quantum machine learning channel discrimination. CoRR Andrey Kardashin, Anna Vlasova, Anastasia Pervishko, Dmitry Yudin, Jacob D. Biamonte
2022	J	`jnl`	Tensor networks in machine learning. CoRR Richik Sengupta, Soumik Adhikary, Ivan V. Oseledets, Jacob D. Biamonte
2021	J	`jnl`	Reachability Deficits in Quantum Approximate Optimization of Graph Problems. Quantum Vishwanathan Akshay, H. Philathong, Igor Zacharov, Jacob D. Biamonte
2021	J	`jnl`	Training Saturation in Layerwise Quantum Approximate Optimisation. CoRR Ernesto Campos, Daniil Rabinovich, Vishwanathan Akshay, Jacob D. Biamonte
2020	J	`jnl`	On barren plateaus and cost function locality in variational quantum algorithms. CoRR Alexey Uvarov, Jacob D. Biamonte
2020	J	`jnl`	On the Theory of Modern Quantum Algorithms. CoRR Jacob D. Biamonte
2020	J	`jnl`	On the universality of the quantum approximate optimization algorithm. Quantum Inf. Process. Mauro E. S. Morales, Jacob D. Biamonte, Zoltán Zimborás
2020	J	`jnl`	Probing Criticality in Quantum Spin Chains with Neural Networks. CoRR A. Berezutskii, M. Beketov, Dmitry Yudin, Zoltán Zimborás, Jacob D. Biamonte
2020	J	`jnl`	Self-learning eigenstates with a quantum processor. CoRR Andrey Kardashin, Alexey Uvarov, Dmitry Yudin, Jacob D. Biamonte
2020	J	`jnl`	Unraveling the effects of multiscale network entanglement on disintegration of empirical systems. CoRR Arsham Ghavasieh, Massimo Stella, Jacob D. Biamonte, Manlio De Domenico
2020	J	`jnl`	Variational Quantum Eigensolver for Frustrated Quantum Systems. CoRR Alexey Uvarov, Jacob D. Biamonte, Dmitry Yudin
2019	J	`jnl`	Computational Phase Transition Signature in Gibbs Sampling. CoRR H. Philathong, Vishwanathan Akshay, Igor Zacharov, Jacob D. Biamonte
2019	J	`jnl`	Experimental neural network enhanced quantum tomography. CoRR Adriano Macarone Palmieri, Egor Kovlakov, Federico Bianchi, Dmitry Yudin, Stanislav Straupe, Jacob D. Biamonte, Sergei Kulik
2019	J	`jnl`	Machine Learning Phase Transitions with a Quantum Processor. CoRR Alexey Uvarov, Andrey Kardashin, Jacob D. Biamonte
2019	J	`jnl`	Reachability Deficits in Quantum Approximate Optimization. CoRR Vishwanathan Akshay, H. Philathong, Mauro E. S. Morales, Jacob D. Biamonte
2018	J	`jnl`	Deep Learning Super-Diffusion in Multiplex Networks. CoRR Vito M. Leli, Saeed Osat, Timur Tlyachev, Jacob D. Biamonte
2018	J	`jnl`	Quantum Machine Learning Matrix Product States. CoRR Jacob D. Biamonte
2018	J	`jnl`	Quantum Supremacy Lower Bounds by Entanglement Scaling. CoRR Jacob D. Biamonte, Mauro E. S. Morales, Dax Enshan Koh
2017	J	`jnl`	Complex Networks: from Classical to Quantum. CoRR Jacob D. Biamonte, Mauro Faccin, Manlio De Domenico
2017	J	`jnl`	Quantum machine learning. Nat. Jacob D. Biamonte, Peter Wittek, Nicola Pancotti, Patrick Rebentrost, Nathan Wiebe, Seth Lloyd
2015	J	`jnl`	Tensor networks and graphical calculus for open quantum systems. Quantum Inf. Comput. Christopher J. Wood, Jacob D. Biamonte, David G. Cory
2014	J	`jnl`	Tensor Network Contractions for #SAT. CoRR Jacob D. Biamonte, Jason Morton, Jacob W. Turner
2010	J	`jnl`	Categorical Tensor Network States CoRR Jacob D. Biamonte, Stephen R. Clark, Dieter Jaksch
2010	J	`jnl`	Fault Models for Quantum Mechanical Switching Networks. J. Electron. Test. Jacob D. Biamonte, Jeff S. Allen, Marek A. Perkowski
2009	J	`jnl`	The Computational Power of Minkowski Spacetime CoRR Jacob D. Biamonte
2007	J	`jnl`	Four-level realisation of 3-qubit reversible functions. IET Comput. Digit. Tech. Guowu Yang, Xiaoyu Song, Marek A. Perkowski, William N. N. Hung, Jacob D. Biamonte, Zhiwei Tang
2006	J	`jnl`	The Cost of Quantum Gate Primitives. J. Multiple Valued Log. Soft Comput. Soonchil Lee, Seong-Joo Lee, Taegon Kim, Jae-Seung Lee, Jacob D. Biamonte, Marek A. Perkowski
2005	—	`conf`	Test Generation and Fault Localization for Quantum Circuits. ISMVL Marek A. Perkowski, Jacob D. Biamonte, Martin Lukac