Lukasz Cincio

Orcid: 0000-0002-6758-4376

According to our database¹, Lukasz Cincio authored at least 30 papers between 2019 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Links

On csauthors.net:

Bibliography

2024

Can Error Mitigation Improve Trainability of Noisy Variational Quantum Algorithms?

[BibT_eX]

[DOI]

Quantum, March, 2024

2023

A semi-agnostic ansatz with variable structure for variational quantum algorithms.

[BibT_eX]

[DOI]

Quantum Mach. Intell., December, 2023

Variational Quantum Linear Solver.

[BibT_eX]

[DOI]

Quantum, November, 2023

The battle of clean and dirty qubits in the era of partial error correction.

[BibT_eX]

[DOI]

Quantum, July, 2023

Unifying and benchmarking state-of-the-art quantum error mitigation techniques.

[BibT_eX]

[DOI]

Quantum, June, 2023

Scaling Whole-Chip QAOA for Higher-Order Ising Spin Glass Models on Heavy-Hex Graphs.

[BibT_eX]

[DOI]

CoRR, 2023

Single-Qubit Cross Platform Comparison of Quantum Computing Hardware.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023

QFactor: A Domain-Specific Optimizer for Quantum Circuit Instantiation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023

2022

Challenges and opportunities in quantum machine learning.

[BibT_eX]

[DOI]

Nat. Comput. Sci., 2022

Resource frugal optimizer for quantum machine learning.

[BibT_eX]

[DOI]

CoRR, 2022

Practical Black Box Hamiltonian Learning.

[BibT_eX]

[DOI]

Andi Gu

Lukasz Cincio

Patrick J. Coles

CoRR, 2022

Dynamical simulation via quantum machine learning with provable generalization.

[BibT_eX]

[DOI]

CoRR, 2022

Out-of-distribution generalization for learning quantum dynamics.

[BibT_eX]

[DOI]

CoRR, 2022

Covariance matrix preparation for quantum principal component analysis.

[BibT_eX]

[DOI]

CoRR, 2022

Vector Field Visualization of Single-Qubit State Tomography.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2022

2021

Error mitigation with Clifford quantum-circuit data.

[BibT_eX]

[DOI]

Quantum, 2021

Effect of barren plateaus on gradient-free optimization.

[BibT_eX]

[DOI]

Quantum, 2021

Generalization in quantum machine learning from few training data.

[BibT_eX]

[DOI]

CoRR, 2021

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

[BibT_eX]

[DOI]

CoRR, 2021

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

[BibT_eX]

[DOI]

CoRR, 2021

Long-time simulations with high fidelity on quantum hardware.

[BibT_eX]

[DOI]

CoRR, 2021

2020

An Adaptive Optimizer for Measurement-Frugal Variational Algorithms.

[BibT_eX]

[DOI]

Quantum, 2020

Variational Quantum Fidelity Estimation.

[BibT_eX]

[DOI]

Quantum, 2020

Variational Quantum Algorithms.

[BibT_eX]

[DOI]

CoRR, 2020

Noise-Induced Barren Plateaus in Variational Quantum Algorithms.

[BibT_eX]

[DOI]

CoRR, 2020

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

[BibT_eX]

[DOI]

CoRR, 2020

Trainability of Dissipative Perceptron-Based Quantum Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2020

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

[BibT_eX]

[DOI]

CoRR, 2020

Learning to Optimize Variational Quantum Circuits to Solve Combinatorial Problems.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

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

[BibT_eX]

[DOI]

CoRR, 2019

Lukasz Cincio

Timeline

Legend:

Links

On csauthors.net:

Bibliography

Loading...