Lukasz Cincio

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 35

Top Topics

Quantum Computing

Top Venues

Nat. Comput. Sci.

Publications

Samson Wang, Piotr Czarnik, Andrew Arrasmith, Marco Cerezo, Lukasz Cincio, Patrick J. Coles
Can Error Mitigation Improve Trainability of Noisy Variational Quantum Algorithms? Quantum 8 (2024)
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 (2024)
Elijah Pelofske, Andreas Bärtschi, Lukasz Cincio, John K. Golden, Stephan J. Eidenbenz
Scaling Whole-Chip QAOA for Higher-Order Ising Spin Glass Models on Heavy-Hex Graphs. CoRR (2023)
Daniel Bultrini, Samson Wang, Piotr Czarnik, Max Hunter Gordon, Marco Cerezo, Patrick J. Coles, Lukasz Cincio
The battle of clean and dirty qubits in the era of partial error correction. Quantum 7 (2023)
Marco Cerezo, Guillaume Verdon, Hsin-Yuan Huang, Lukasz Cincio, Patrick J. Coles
Challenges and Opportunities in Quantum Machine Learning. CoRR (2023)
Carlos Bravo-Prieto, Ryan Larose, Marco Cerezo, Yigit Subasi, Lukasz Cincio, Patrick J. Coles
Variational Quantum Linear Solver. Quantum 7 (2023)
Alon Kukliansky, Ed Younis, Lukasz Cincio, Costin Iancu
QFactor: A Domain-Specific Optimizer for Quantum Circuit Instantiation. QCE (2023)
Adrien Suau, Jon Nelson, Marc Vuffray, Andrey Y. Lokhov, Lukasz Cincio, Carleton Coffrin
Single-Qubit Cross Platform Comparison of Quantum Computing Hardware. QCE (2023)
M. Bilkis, Marco Cerezo, Guillaume Verdon, Patrick J. Coles, Lukasz Cincio
A semi-agnostic ansatz with variable structure for variational quantum algorithms. Quantum Mach. Intell. 5 (2) (2023)
Daniel Bultrini, Max Hunter Gordon, Piotr Czarnik, Andrew Arrasmith, Marco Cerezo, Patrick J. Coles, Lukasz Cincio
Unifying and benchmarking state-of-the-art quantum error mitigation techniques. Quantum 7 (2023)
Andi Gu, Lukasz Cincio, Patrick J. Coles
Practical Black Box Hamiltonian Learning. CoRR (2022)
Charles Moussa, Max Hunter Gordon, Michal Baczyk, Marco Cerezo, Lukasz Cincio, Patrick J. Coles
Resource frugal optimizer for quantum machine learning. CoRR (2022)
Marco Cerezo, Guillaume Verdon, Hsin-Yuan Huang, Lukasz Cincio, Patrick J. Coles
Challenges and opportunities in quantum machine learning. Nat. Comput. Sci. 2 (9) (2022)
Max Hunter Gordon, Marco Cerezo, Lukasz Cincio, Patrick J. Coles
Covariance matrix preparation for quantum principal component analysis. CoRR (2022)
Matthias C. Caro, Hsin-Yuan Huang, Nicholas Ezzell, Joe Gibbs, Andrew T. Sornborger, Lukasz Cincio, Patrick J. Coles, Zoë Holmes
Out-of-distribution generalization for learning quantum dynamics. CoRR (2022)
Joe Gibbs, Zoë Holmes, Matthias C. Caro, Nicholas Ezzell, Hsin-Yuan Huang, Lukasz Cincio, Andrew T. Sornborger, Patrick J. Coles
Dynamical simulation via quantum machine learning with provable generalization. CoRR (2022)
Adrien Suau, Marc Vuffray, Andrey Y. Lokhov, Lukasz Cincio, Carleton Coffrin
Vector Field Visualization of Single-Qubit State Tomography. QCE (2022)
Piotr Czarnik, Andrew Arrasmith, Patrick J. Coles, Lukasz Cincio
Error mitigation with Clifford quantum-circuit data. Quantum 5 (2021)
Matthias C. Caro, Hsin-Yuan Huang, M. Cerezo, Kunal Sharma, Andrew T. Sornborger, Lukasz Cincio, Patrick J. Coles
Generalization in quantum machine learning from few training data. CoRR (2021)
Joe Gibbs, Kaitlin Gili, Zoë Holmes, Benjamin Commeau, Andrew Arrasmith, Lukasz Cincio, Patrick J. Coles, Andrew T. Sornborger
Long-time simulations with high fidelity on quantum hardware. CoRR (2021)
Andrew Arrasmith, Marco Cerezo, Piotr Czarnik, Lukasz Cincio, Patrick J. Coles
Effect of barren plateaus on gradient-free optimization. Quantum 5 (2021)
Samson Wang, Piotr Czarnik, Andrew Arrasmith, M. Cerezo, Lukasz Cincio, Patrick J. Coles
Can Error Mitigation Improve Trainability of Noisy Variational Quantum Algorithms? CoRR (2021)
M. Bilkis, Marco Cerezo, Guillaume Verdon, Patrick J. Coles, Lukasz Cincio
A semi-agnostic ansatz with variable structure for quantum machine learning. CoRR (2021)
Xiaoyuan Liu, Anthony Angone, Ruslan Shaydulin, Ilya Safro, Yuri Alexeev, Lukasz Cincio
Layer VQE: A Variational Approach for Combinatorial Optimization on Noisy Quantum Computers. CoRR (2021)
Jonas M. Kübler, Andrew Arrasmith, Lukasz Cincio, Patrick J. Coles
An Adaptive Optimizer for Measurement-Frugal Variational Algorithms. Quantum 4 (2020)
Samson Wang, Enrico Fontana, Marco Cerezo, Kunal Sharma, Akira Sone, Lukasz Cincio, Patrick J. Coles
Noise-Induced Barren Plateaus in Variational Quantum Algorithms. CoRR (2020)
Marco Cerezo, Andrew Arrasmith, Ryan Babbush, Simon C. Benjamin, Suguru Endo, Keisuke Fujii, Jarrod R. McClean, Kosuke Mitarai, Xiao Yuan, Lukasz Cincio, Patrick J. Coles
Variational Quantum Algorithms. CoRR (2020)
Marco Cerezo, Alexander Poremba, Lukasz Cincio, Patrick J. Coles
Variational Quantum Fidelity Estimation. Quantum 4 (2020)
Kunal Sharma, Marco Cerezo, Zoë Holmes, Lukasz Cincio, Andrew T. Sornborger, Patrick J. Coles
Reformulation of the No-Free-Lunch Theorem for Entangled Data Sets. CoRR (2020)
Marco Cerezo, Akira Sone, Tyler Volkoff, Lukasz Cincio, Patrick J. Coles
Cost-Function-Dependent Barren Plateaus in Shallow Quantum Neural Networks. CoRR (2020)
Sami Khairy, Ruslan Shaydulin, Lukasz Cincio, Yuri Alexeev, Prasanna Balaprakash
Learning to Optimize Variational Quantum Circuits to Solve Combinatorial Problems. AAAI (2020)
Andrew Arrasmith, Marco Cerezo, Piotr Czarnik, Lukasz Cincio, Patrick J. Coles
Effect of barren plateaus on gradient-free optimization. CoRR (2020)
Kunal Sharma, Marco Cerezo, Lukasz Cincio, Patrick J. Coles
Trainability of Dissipative Perceptron-Based Quantum Neural Networks. CoRR (2020)
Sami Khairy, Ruslan Shaydulin, Lukasz Cincio, Yuri Alexeev, Prasanna Balaprakash
Reinforcement-Learning-Based Variational Quantum Circuits Optimization for Combinatorial Problems. CoRR (2019)
Sami Khairy, Ruslan Shaydulin, Lukasz Cincio, Yuri Alexeev, Prasanna Balaprakash
Learning to Optimize Variational Quantum Circuits to Solve Combinatorial Problems. CoRR (2019)