Gian Giacomo Guerreschi
Artificial Intelligence · 2014–2018
A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 24 citations into it
- Atomic and Molecular Physics, and Optics — 16 citations into it
Whom Gian Giacomo Guerreschi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Gian Giacomo Guerreschi overall
Papers from Gian Giacomo Guerreschi's perspective
Ordered by how strongly the researchers Gian Giacomo Guerreschi trusts endorse each paper. Same corpus, a different order for every researcher.
- Unsupervised Machine Learning on a Hybrid Quantum Computer
- AND T
- A Quantum Approximate Optimization Algorithm
- Improved approximation algorithms for maximum cut and satisfiability problems using semidefinite programming
- Quantum Computing in the NISQ era and beyond (Quantum)
- Characterizing quantum supremacy in near-term devices (Nature Physics)
- A and V
- I and J
- Quantum computing and the entanglement frontier
- From the Quantum Approximate Optimization Algorithm to a Quantum Alternating Operator Ansatz (Algorithms)
Their papers
- QAOA for Max-Cut requires hundreds of qubits for quantum speed-up (2018) — 342 citations
- Boson sampling for molecular vibronic spectra (2014) — 344 citations