5 citations · 12 across the 3 of their papers we have counts for
6 papers
Neural-powered unit disk graph embedding: qubits connectivity for some QUBO problems
Chiara Vercellino, Paolo Viviani, Giacomo Vitali +5
Graph embedding is a recurrent problem in quantum computing, for instance, quantum annealers need to solve a minor graph embedding in order to map a given Quadratic Unconstrained B…
Neural optimization for quantum architectures: graph embedding problems with Distance Encoder Networks
Chiara Vercellino, Giacomo Vitali, Paolo Viviani +5
Quantum machines are among the most promising technologies expected to provide significant improvements in the following years. However, bridging the gap between real-world applica…
BBQ-mIS: a parallel quantum algorithm for graph coloring problems
Chiara Vercellino, Giacomo Vitali, Paolo Viviani +5
Among the limitations of current quantum machines, the qubits count represents one of the most critical challenges for porting reasonably large computational problems, such as thos…
Implementing Credit Risk Analysis with Quantum Singular Value Transformation
Davide Veronelli, Francesca Cibrario, Emanuele Dri +4
The analysis of credit risk is crucial for the efficient operation of financial institutions. Quantum Amplitude Estimation (QAE) offers the potential for a quadratic speed-up over…
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…
Quantum Amplitude Loading for Rainbow Options Pricing
Francesca Cibrario, Or Samimi Golan, Giacomo Ranieri +7
This work introduces a novel approach to price rainbow options, a type of path-independent multi-asset derivatives, with quantum computers. Leveraging the Iterative Quantum Amplitu…