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Arthur Braida

Tight Lieb–Robinson Bound for approximation ratio in quantum annealing
2024 · Arthur Braida, Simon Martiel, et al. · npj Quantum Information · 6
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Anti-crossings and spectral gap during quantum adiabatic evolution
2021 · Arthur Braida, Simon Martiel · Quantum Information Processing · 6
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On constant-time quantum annealing and guaranteed approximations for graph optimization problems
2022 · Arthur Braida, Simon Martiel, et al. · Quantum Science and Technology · 5
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Unstructured Adiabatic Quantum Optimization: Optimality with Limitations
2025 · Arthur Braida, Shantanav Chakraborty, et al. · Quantum · 2
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Review of: "An Approximated QUBO Formulation for Solving Practical SAT Problems"
2025 · Arthur Braida · Qeios · 2
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Avoided level crossings with exponentially closing gaps in quantum annealing
2024 · Arthur Braida, Simon Martiel, et al. · Physical Review A · 2
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Review of: "An Approximated QUBO Formulation for Solving Practical SAT Problems"
2025 · Arthur Braida · Qeios · 1
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Hamiltonian Eigenvalue Transformation by Tridiagonal Gadgets
2026 · Braida, Arthur, Cunningham, Joseph, et al. · arXiv (Cornell University)
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Log-concavity and tunneling: adiabatic quantum optimization for convex functions (with a spike)
2026 · Braida, Arthur, Bermot, Elie, et al. · arXiv (Cornell University)
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Scaling QAOA: transferring optimal adiabatic schedules from small-scale to large-scale variational circuits
2026 · Ugo Nzongani, Dylan Laplace Mermoud, et al. · IEEE International Conference on Quantum Control, Computing and Learning (qCCL)
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Log-Concavity and Tunneling: Quantum Adiabatic Algorithm for Convex Functions (With a Spike)
2026 · Braida, Arthur, Bermot, Elie, et al. · DROPS (Schloss Dagstuhl – Leibniz Center for Informatics)
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Analog Quantum Computing for NP-Hard Combinatorial Graph Problems
2024 · Braida, Arthur · theses.fr (ABES)
Analog Quantum Computing for NP-Hard Combinatorial Graph Problems
2024 · Arthur Braida
Locality and Approximation in Quantum Annealing
2022 · Braida, Arthur · HAL
Works count: 14
Citation count: 24
H-index: 3
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