Yiğit Subaşı

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yiğit Subaşı trusts

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

  1. Mario Szegedy (in Artificial Intelligence)
  2. Andrew M. Childs (in Artificial Intelligence)
  3. Robin Kothari (in Artificial Intelligence)

Papers from Yiğit Subaşı's perspective

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

  1. Barren plateaus in quantum neural network training landscapes (Nature Communications)
  2. Quantum algorithm for linear systems of equations. (Physical Review Letters)
  3. A Quantum Approximate Optimization Algorithm
  4. Quantum Computing in the NISQ era and beyond (Quantum)
  5. Efficient Quantum Algorithms for Simulating Sparse Hamiltonians
  6. Quantum circuit learning (Physical Review A)
  7. Efficient Variational Quantum Simulator Incorporating Active Error Minimization
  8. A variational eigenvalue solver on a photonic quantum processor (Nature Communications)
  9. Hamiltonian Simulation with Nearly Optimal Dependence on all Parameters (IEEE Annual Symposium on Foundations of Computer Science)
  10. Quantum autoencoders for efficient compression of quantum data

Their papers