Piotr Czarnik

Artificial Intelligence · 2020–2021

A researcher in the Science corpus: 2 papers; trusts 24 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 63 citations into it; #34,673 of 35,345 by trust here, #26,682 by citations
• Atomic and Molecular Physics, and Optics — 34 citations into it; #6,848 of 7,135 by trust here, #6,251 by citations

Whom Piotr Czarnik trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Rolando D. Somma
2. Jarrod R. McClean
3. Suguru Endo
4. Edward Farhi
5. Kristan Temme
6. M. Cerezo
7. Abhinav Kandala
8. Simon C. Benjamin
9. Ying Li
10. Jonathan Romero

Who trusts Piotr Czarnik overall

1. M. Cerezo
2. Ryuji Takagi
3. Suguru Endo
4. Hanrui Wang
5. Zhenyu Cai
6. Ryan Babbush

Papers from Piotr Czarnik's perspective

Ordered by how strongly the researchers Piotr Czarnik trusts endorse each paper. Same corpus, a different order for every researcher.

1. A Quantum Approximate Optimization Algorithm
2. Quantum Computing in the NISQ era and beyond (Quantum)
3. Quantum circuit learning (Physical Review A)
4. Progress towards practical quantum variational algorithms
5. Efficient Variational Quantum Simulator Incorporating Active Error Minimization
6. Mitigating measurement errors in multiqubit experiments
7. Error mitigation extends the computational reach of a noisy quantum processor (Nature)
8. Theory of variational quantum simulation (Quantum)
9. The theory of variational hybrid quantum-classical algorithms
10. Practical Quantum Error Mitigation for Near-Future Applications (Physical Review X)

Their papers

• Error mitigation with Clifford quantum-circuit data (2020) — 310 citations
• Diagnosing Barren Plateaus with Tools from Quantum Optimal Control (2021) — 300 citations