Jacob D. Biamonte

Orcid: 0000-0002-0590-3327

According to our database1, Jacob D. Biamonte authored at least 32 papers between 2005 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
Construction of a Circuit for the Simulation of a Hamiltonian with a Tridiagonal Matrix Representation.
CoRR, 2023

2022
Experimental quantum adversarial learning with programmable superconducting qubits.
Nat. Comput. Sci., 2022

On Symmetric Pseudo-Boolean Functions: Factorization, Kernels and Applications.
CoRR, 2022

Tensor networks in machine learning.
CoRR, 2022

Quantum machine learning channel discrimination.
CoRR, 2022

On Circuit Depth Scaling For Quantum Approximate Optimization.
CoRR, 2022

2021
Reachability Deficits in Quantum Approximate Optimization of Graph Problems.
Quantum, 2021

Training Saturation in Layerwise Quantum Approximate Optimisation.
CoRR, 2021

2020
On the universality of the quantum approximate optimization algorithm.
Quantum Inf. Process., 2020

On barren plateaus and cost function locality in variational quantum algorithms.
CoRR, 2020

On the Theory of Modern Quantum Algorithms.
CoRR, 2020

Unraveling the effects of multiscale network entanglement on disintegration of empirical systems.
CoRR, 2020

Self-learning eigenstates with a quantum processor.
CoRR, 2020

Probing Criticality in Quantum Spin Chains with Neural Networks.
CoRR, 2020

Variational Quantum Eigensolver for Frustrated Quantum Systems.
CoRR, 2020

2019
Reachability Deficits in Quantum Approximate Optimization.
CoRR, 2019

Computational Phase Transition Signature in Gibbs Sampling.
CoRR, 2019

Machine Learning Phase Transitions with a Quantum Processor.
CoRR, 2019

Experimental neural network enhanced quantum tomography.
CoRR, 2019

2018
Deep Learning Super-Diffusion in Multiplex Networks.
CoRR, 2018

Quantum Supremacy Lower Bounds by Entanglement Scaling.
CoRR, 2018

Quantum Machine Learning Matrix Product States.
CoRR, 2018

2017
Quantum machine learning.
Nat., 2017

Complex Networks: from Classical to Quantum.
CoRR, 2017

2015
Tensor networks and graphical calculus for open quantum systems.
Quantum Inf. Comput., 2015

2014
Tensor Network Contractions for #SAT.
CoRR, 2014

2010
Fault Models for Quantum Mechanical Switching Networks.
J. Electron. Test., 2010

Categorical Tensor Network States
CoRR, 2010

2009
The Computational Power of Minkowski Spacetime
CoRR, 2009

2007
Four-level realisation of 3-qubit reversible functions.
IET Comput. Digit. Tech., 2007

2006
The Cost of Quantum Gate Primitives.
J. Multiple Valued Log. Soft Comput., 2006

2005
Test Generation and Fault Localization for Quantum Circuits.
Proceedings of the 35th IEEE International Symposium on Multiple-Valued Logic (ISMVL 2005), 2005


  Loading...