Lukasz Cincio

According to our database1, Lukasz Cincio authored at least 22 papers between 2019 and 2022.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2022
Resource frugal optimizer for quantum machine learning.
CoRR, 2022

Practical Black Box Hamiltonian Learning.
CoRR, 2022

Dynamical simulation via quantum machine learning with provable generalization.
CoRR, 2022

Out-of-distribution generalization for learning quantum dynamics.
CoRR, 2022

Covariance matrix preparation for quantum principal component analysis.
CoRR, 2022

Vector Field Visualization of Single-Qubit State Tomography.
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2022

2021
Error mitigation with Clifford quantum-circuit data.
Quantum, 2021

Effect of barren plateaus on gradient-free optimization.
Quantum, 2021

Generalization in quantum machine learning from few training data.
CoRR, 2021

Can Error Mitigation Improve Trainability of Noisy Variational Quantum Algorithms?
CoRR, 2021

A semi-agnostic ansatz with variable structure for quantum machine learning.
CoRR, 2021

Layer VQE: A Variational Approach for Combinatorial Optimization on Noisy Quantum Computers.
CoRR, 2021

Long-time simulations with high fidelity on quantum hardware.
CoRR, 2021

2020
An Adaptive Optimizer for Measurement-Frugal Variational Algorithms.
Quantum, 2020

Variational Quantum Fidelity Estimation.
Quantum, 2020

Variational Quantum Algorithms.
CoRR, 2020

Noise-Induced Barren Plateaus in Variational Quantum Algorithms.
CoRR, 2020

Reformulation of the No-Free-Lunch Theorem for Entangled Data Sets.
CoRR, 2020

Trainability of Dissipative Perceptron-Based Quantum Neural Networks.
CoRR, 2020

Cost-Function-Dependent Barren Plateaus in Shallow Quantum Neural Networks.
CoRR, 2020

Learning to Optimize Variational Quantum Circuits to Solve Combinatorial Problems.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Reinforcement-Learning-Based Variational Quantum Circuits Optimization for Combinatorial Problems.
CoRR, 2019


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