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Jacob D. Biamonte
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2020 – today
- 2024
- [i25]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 abs/2405.00781 (2024) - 2023
- [i24]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 abs/2310.00121 (2023) - 2022
- [j8]Wenhui Ren, Weikang Li
, Shibo Xu
Experimental quantum adversarial learning with programmable superconducting qubits. Nat. Comput. Sci. 2(11): 711-717 (2022) - [i23]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. CoRR abs/2204.01738 (2022) - [i22]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 abs/2205.01698 (2022) - [i21]Andrey Kardashin, Anna Vlasova, Anastasia Pervishko, Dmitry Yudin, Jacob D. Biamonte:
Quantum machine learning channel discrimination. CoRR abs/2206.09933 (2022) - [i20]Richik Sengupta, Soumik Adhikary, Ivan V. Oseledets, Jacob D. Biamonte:
Tensor networks in machine learning. CoRR abs/2207.02851 (2022) - [i19]Richik Sengupta, Jacob D. Biamonte:
On Symmetric Pseudo-Boolean Functions: Factorization, Kernels and Applications. CoRR abs/2209.15009 (2022) - 2021
- [j7]Vishwanathan Akshay
Reachability Deficits in Quantum Approximate Optimization of Graph Problems. Quantum 5: 532 (2021) - [i18]Ernesto Campos, Daniil Rabinovich, Vishwanathan Akshay, Jacob D. Biamonte:
Training Saturation in Layerwise Quantum Approximate Optimisation. CoRR abs/2106.13814 (2021) - 2020
- [j6]Mauro E. S. Morales, Jacob D. Biamonte
On the universality of the quantum approximate optimization algorithm. Quantum Inf. Process. 19(9): 291 (2020) - [i17]Alexey Uvarov, Jacob D. Biamonte, Dmitry Yudin:
Variational Quantum Eigensolver for Frustrated Quantum Systems. CoRR abs/2005.00544 (2020) - [i16]A. Berezutskii, M. Beketov, Dmitry Yudin, Zoltán Zimborás, Jacob D. Biamonte:
Probing Criticality in Quantum Spin Chains with Neural Networks. CoRR abs/2005.02104 (2020) - [i15]Andrey Kardashin, Alexey Uvarov, Dmitry Yudin, Jacob D. Biamonte:
Self-learning eigenstates with a quantum processor. CoRR abs/2006.13222 (2020) - [i14]Arsham Ghavasieh, Massimo Stella, Jacob D. Biamonte, Manlio De Domenico:
Unraveling the effects of multiscale network entanglement on disintegration of empirical systems. CoRR abs/2008.05368 (2020) - [i13]Jacob D. Biamonte:
On the Theory of Modern Quantum Algorithms. CoRR abs/2009.10088 (2020) - [i12]Alexey Uvarov, Jacob D. Biamonte:
On barren plateaus and cost function locality in variational quantum algorithms. CoRR abs/2011.10530 (2020)
2010 – 2019
- 2019
- [i11]Adriano Macarone Palmieri, Egor Kovlakov, Federico Bianchi, Dmitry Yudin, Stanislav Straupe, Jacob D. Biamonte
Experimental neural network enhanced quantum tomography. CoRR abs/1904.05902 (2019) - [i10]Alexey Uvarov, Andrey Kardashin, Jacob D. Biamonte:
Machine Learning Phase Transitions with a Quantum Processor. CoRR abs/1906.10155 (2019) - [i9]H. Philathong, Vishwanathan Akshay, Igor Zacharov, Jacob D. Biamonte:
Computational Phase Transition Signature in Gibbs Sampling. CoRR abs/1906.10705 (2019) - [i8]Vishwanathan Akshay, H. Philathong, Mauro E. S. Morales, Jacob D. Biamonte:
Reachability Deficits in Quantum Approximate Optimization. CoRR abs/1906.11259 (2019) - 2018
- [i7]Jacob D. Biamonte
Quantum Machine Learning Matrix Product States. CoRR abs/1804.02398 (2018) - [i6]Jacob D. Biamonte
Quantum Supremacy Lower Bounds by Entanglement Scaling. CoRR abs/1808.00460 (2018) - [i5]Vito M. Leli, Saeed Osat, Timur Tlyachev, Jacob D. Biamonte
Deep Learning Super-Diffusion in Multiplex Networks. CoRR abs/1811.04104 (2018) - 2017
- [j5]Jacob D. Biamonte
Quantum machine learning. Nat. 549(7671): 195-202 (2017) - [i4]Jacob D. Biamonte, Mauro Faccin, Manlio De Domenico:
Complex Networks: from Classical to Quantum. CoRR abs/1702.08459 (2017) - 2015
- [j4]Christopher J. Wood, Jacob D. Biamonte, David G. Cory:
Tensor networks and graphical calculus for open quantum systems. Quantum Inf. Comput. 15(9&10): 759-811 (2015) - 2014
- [i3]Jacob D. Biamonte, Jason Morton, Jacob W. Turner:
Tensor Network Contractions for #SAT. CoRR abs/1405.7375 (2014) - 2010
- [j3]Jacob D. Biamonte
Fault Models for Quantum Mechanical Switching Networks. J. Electron. Test. 26(5): 499-511 (2010) - [i2]Jacob D. Biamonte, Stephen R. Clark
Categorical Tensor Network States. CoRR abs/1012.0531 (2010)
2000 – 2009
- 2009
- [i1]Jacob D. Biamonte:
The Computational Power of Minkowski Spacetime. CoRR abs/0907.1579 (2009) - 2007
- [j2]Guowu Yang, Xiaoyu Song, Marek A. Perkowski, William N. N. Hung, Jacob D. Biamonte
Four-level realisation of 3-qubit reversible functions. IET Comput. Digit. Tech. 1(4): 382-388 (2007) - 2006
- [j1]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): 561-573 (2006) - 2005
- [c1]Marek A. Perkowski, Jacob D. Biamonte
Test Generation and Fault Localization for Quantum Circuits. ISMVL 2005: 62-68
Coauthor Index
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