activity
20222025
most citedIterative-Free Quantum Approximate Optimization Algorithm Using Neural Networks

11 citations · 12 across the 5 of their papers we have counts for

collaborators

5 papers

quant-ph2025

Autocallable Options Pricing with Integration-Based Exponential Amplitude Loading

Francesca Cibrario, Ron Cohen, Emanuele Dri +8

We present a comprehensive quantum algorithm tailored for pricing autocallable options, offering a full implementation and experimental validation. Our experiments include simulati…

quant-ph2025

Quantum Simulation-Based Optimization for Cooling System Design

Leonhard Hölscher, Lukas Müller, Or Samimi +1

Engineering design processes involve iterative design evaluations requiring numerous computationally intensive numerical simulations. Quantum algorithms promise substantial speedup…

quant-ph2025★ 1 cited

Design and synthesis of scalable quantum programs

Tomer Goldfriend, Israel Reichental, Amir Naveh +42

We present a scalable, robust approach to creating quantum programs of arbitrary size and complexity. The approach is based on the true abstraction of the problem. The quantum prog…

quant-ph2024

Hybrid Classical-Quantum Simulation of MaxCut using QAOA-in-QAOA

Aniello Esposito, Tamuz Danzig

The Quantum approximate optimization algorithm (QAOA) is a leading hybrid classical-quantum algorithm for solving complex combinatorial optimization problems. QAOA-in-QAOA (QAOA^2)…

quant-ph2022★ 11 cited

Iterative-Free Quantum Approximate Optimization Algorithm Using Neural Networks

Ohad Amosy, Tamuz Danzig, Ely Porat +2

The quantum approximate optimization algorithm (QAOA) is a leading iterative variational quantum algorithm for heuristically solving combinatorial optimization problems. A large po…