Jacob Biamonte
#73,113
Most Influential Person Now
American physicist
Jacob Biamonte's AcademicInfluence.com Rankings
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Physics
Jacob Biamonte's Degrees
- PhD Physics University of Oxford
- Masters Physics University of Oxford
- Bachelors Physics University of California, Berkeley
Why Is Jacob Biamonte Influential?
(Suggest an Edit or Addition)According to Wikipedia, Jacob Daniel Biamonte is an American physicist and theoretical computer scientist active in the fields of quantum information theory and quantum computing. He left a tenured professorship at the Skolkovo Institute of Science and Technology in Russia after the start of the Russo-Ukrainian War.
Jacob Biamonte's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- Quantum machine learning (2016) (1137)
- Towards quantum chemistry on a quantum computer. (2009) (610)
- Simulation of electronic structure Hamiltonians using quantum computers (2010) (354)
- High-fidelity spin entanglement using optimal control (2013) (246)
- Realizable Hamiltonians for Universal Adiabatic Quantum Computers (2007) (161)
- Spectral entropies as information-theoretic tools for complex network comparison (2016) (119)
- Quantum Simulation of Helium Hydride Cation in a Solid-State Spin Register. (2014) (109)
- Experimental neural network enhanced quantum tomography (2019) (107)
- Tensor Networks in a Nutshell (2017) (107)
- Complex networks from classical to quantum (2017) (100)
- A quantum algorithm to train neural networks using low-depth circuits (2017) (97)
- Reachability Deficits in Quantum Approximate Optimization (2019) (91)
- Non−perturbative k−body to two−body commuting conversion Hamiltonians and embedding problem instances into Ising spins (2008) (89)
- Sign- and magnitude-tunable coupler for superconducting flux qubits (2006) (82)
- Tensor networks and graphical calculus for open quantum systems (2011) (81)
- Adiabatic quantum simulators (2010) (70)
- On the universality of the quantum approximate optimization algorithm (2019) (68)
- On barren plateaus and cost function locality in variational quantum algorithms (2020) (62)
- Degree distribution in quantum walks on complex networks (2013) (60)
- Universal variational quantum computation (2019) (60)
- Categorical Tensor Network States (2010) (58)
- Quantum Transport Enhancement by Time-Reversal Symmetry Breaking (2012) (56)
- The Cost of Quantum Gate Primitives (2006) (49)
- Ground-state spin logic (2012) (45)
- Tensor Network Contractions for #SAT (2014) (45)
- Community Detection in Quantum Complex Networks (2013) (45)
- Quantum Techniques in Stochastic Mechanics (2012) (41)
- Algebraically contractible topological tensor network states (2011) (40)
- Test generation and fault localization for quantum circuits (2005) (39)
- Machine Learning Phase Transitions with a Quantum Processor (2019) (38)
- Variational learning of Grover's quantum search algorithm (2018) (35)
- Tensor network methods for invariant theory (2012) (35)
- Chiral quantum walks (2014) (35)
- Parameter concentrations in quantum approximate optimization (2021) (34)
- Variational Quantum Eigensolver for Frustrated Quantum Systems (2020) (34)
- Abrupt transitions in variational quantum circuit training (2020) (33)
- Hamiltonian gadgets with reduced resource requirements (2013) (33)
- Categorical quantum circuits (2010) (31)
- Lectures on Quantum Tensor Networks (2019) (28)
- A Course on Quantum Techniques for Stochastic Mechanics (2012) (22)
- Solving search problems by strongly simulating quantum circuits (2012) (19)
- Training Saturation in Layerwise Quantum Approximate Optimisation (2021) (18)
- Reachability Deficits in Quantum Approximate Optimization of Graph Problems (2020) (16)
- Experimental quantum adversarial learning with programmable superconducting qubits (2022) (15)
- Fault Models for Quantum Mechanical Switching Networks (2005) (15)
- Quantum Machine Learning Tensor Network States (2018) (14)
- Undecidability in tensor network states (2012) (14)
- Quantum technologies in Russia (2019) (14)
- Charged string tensor networks (2017) (13)
- Quantum Tensor Networks in a Nutshell (2017) (11)
- Testing a Quantum Computer (2004) (11)
- Numerical hardware-efficient variational quantum simulation of a soliton solution (2021) (9)
- Four-level realisation of 3-qubit reversible functions (2007) (9)
- ATPG for reversible circuits using technology−related fault models (2005) (9)
- Unraveling the effects of multiscale network entanglement on empirical systems (2020) (8)
- Variational simulation of Schwinger's Hamiltonian with polarization qubits (2020) (8)
- Publisher's Note: Nonperturbativek-body to two-body commuting conversion Hamiltonians and embedding problem instances into Ising spins [Phys. Rev. A77, 052331 (2008)] (2008) (7)
- The Cost of Quantum Gates (2006) (7)
- Test set generation and fault localization software for reversible circuits (2005) (7)
- Keep quantum computing global and open (2019) (7)
- On Circuit Depth Scaling For Quantum Approximate Optimization (2022) (6)
- Progress towards Analytically Optimal Angles in Quantum Approximate Optimisation (2021) (6)
- Quantum Supremacy Lower Bounds by Entanglement Scaling (2018) (6)
- Topological classification of time-asymmetry in unitary quantum processes (2017) (6)
- Reachability Deficits Implicit in Google's Quantum Approximate Optimization of Graph Problems (2020) (6)
- Benchmarking variational quantum simulation against an exact solution (2021) (5)
- Quantum Computing Resource Estimate of Molecular Energy Simulation (2010) (5)
- Deterministic and Probabilistic Test Generation for Binary and Ternary Quantum Circuits (2004) (5)
- Certified variational quantum algorithms for eigenstate preparation (2020) (5)
- Tensor Networks for Entanglement Evolution (2012) (5)
- Probing criticality in quantum spin chains with neural networks (2020) (5)
- Towards experimentally realizable Hamiltonian gadgets (2013) (4)
- Invariant Theory for Matrix Product States (2012) (3)
- Complex systems in the spotlight: next steps after the 2021 Nobel Prize in Physics (2023) (3)
- Entanglement scaling in quantum advantage benchmarks (2018) (3)
- Tensor networks in machine learning (2022) (2)
- Deep learning super-diffusion in multiplex networks (2018) (2)
- Experimentally Realizable Hamiltonian Gadgets (2013) (2)
- Quantum Machine Learning Matrix Product States (2018) (2)
- Computational Phase Transition Signature in Gibbs Sampling (2019) (2)
- Computational phase transitions: benchmarking Ising machines and quantum optimisers (2020) (2)
- Pushing Tensor Networks to the Limit (2019) (2)
- Extending classical test to quantum (2005) (2)
- Editorial: Adiabatic Quantum Computation (2019) (2)
- Quantum machine learning channel discrimination (2022) (2)
- ◆ ◆ ◆ ◆ ◆ ◆ ◆ ◆ ◆ ◆ ◆ ◆ ◆ ◆ ◆ ◆ ◆ ◆ ◆ ◆ ◆ ◆ ◆ ◆ ◆ ◆ ◆ ◆ ◆ ◆ ◆ ◆ ◆ (2019) (1)
- The Computational Power of Minkowski Spacetime (2009) (1)
- Pushing Tensor Networks to the Limit An extension of tensor networks — mathematical tools that simplify the study of complex quantum systems — could allow their application to a broad range of quantum field theory problems (2019) (1)
- Quantum physics and complex networks (2014) (1)
- Non-perturbative k-local to 2-local commuting conversion Hamiltonians and embedding problem instances into Ising spins (2008) (1)
- Ion-native variational ansatz for quantum approximate optimization (2022) (1)
- Automated Test Pattern Generation for Quantum Circuits (2005) (1)
- Towards molecular energy calculations on a quantum computer (2009) (1)
- A Quantum Test Algorithm (2005) (1)
- On Symmetric Pseudo-Boolean Functions: Factorization, Kernels and Applications (2022) (1)
- On the gate-error robustness of variational quantum algorithms (2022) (1)
- qu an tph ] 3 1 A ug 2 01 9 Quantum Machine Learning Tensor Network States (2019) (1)
- Improved Hamiltonian gadgets (2013) (1)
- A pr 2 01 2 Tensor Networks for Entanglement Evolution (2012) (0)
- O ct 2 01 3 Tensor Network Methods for Invariant Theory (2013) (0)
- Complexity and Decidability in Unconventional Computational Models — case for support — (2008) (0)
- Tensor Network Contractions for #SAT (2015) (0)
- Non-perturbative k-local to 2-local conversion Hamiltonians and embedding problem instances into Ising spins (2008) (0)
- Categorical Models of Quantum Circuits (2010) (0)
- The ZX-Calculus is Canonical in the Heisenberg Picture for Stabilizer Quantum Mechanics (2023) (0)
- European Physical Society Grand Challenges Physics for Society in the Horizon 2050 (2022) (0)
- Ground State Spin Calculus (2010) (0)
- On the mathematical structure of quantum models of computation based on Hamiltonian minimisation (2020) (0)
- Visitor Notes: Jacob Biamonte − Categorical Models of Quantum Information in the Simulation of Many−Body Systems (2010) (0)
- Tensor network states for quantum foundations (2012) (0)
- A pr 2 01 8 Quantum Machine Learning Matrix Product States (2018) (0)
- Degree Distribution in QuantumWalks on Complex Networks (2013) (0)
- D ec 2 01 3 Adiabatic Quantum Simulators (2013) (0)
- Towards Quantum Chemistry on a Quantum Computer Please share how this access benefits you. Your story matters (2009) (0)
- Racing a quantum computer through Minkowski spacetime (2010) (0)
- Unraveling the effects of multiscale network entanglement on empirical systems (2021) (0)
- Experimental neural network enhanced quantum tomography (2020) (0)
- Complex networks from classical to quantum (2019) (0)
- N ov 2 01 8 Deep Learning Super-Diffusion in Multiplex Networks (2018) (0)
- Transformative Possibilities : Transcending Interlocking Boundaries Article 3 2004 Automated Test Pattern Generation for Quantum Circuits (2016) (0)
- 1 TESTING A QUANTUM COMPUTER (2004) (0)
- Viewpoint: Pushing Tensor Networks to the Limit (2019) (0)
- The computational power of time dilation in special relativity (2014) (0)
- Adiabatic Evolution of a System of Four Coupled Flux Qubits (2007) (0)
- Fast Testing Quantum Circuits (2005) (0)
- qu an tph ] 2 8 N ov 2 01 6 Quantum Machine Learning (2016) (0)
- Fault Testing Quantum Switching Circuits (2005) (0)
- Self-learning eigenstates with a quantum processor (2020) (0)
- On the Theory of Modern Quantum Algorithms (2020) (0)
- Quantum Computing for Molecular Energy Simulations (2010) (0)
- D ec 2 01 1 Categorical Tensor Network States (2011) (0)
- Quantum Chemistry on a Quantum Computer: First Steps and Prospects (2009) (0)
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What Schools Are Affiliated With Jacob Biamonte?
Jacob Biamonte is affiliated with the following schools:
