Search Results for author:
Found 6 papers, 6 papers with code
Understanding quantum machine learning also requires rethinking generalization
In this work, through systematic randomization experiments, we show that traditional approaches to understanding generalization fail to explain the behavior of such quantum models.
Style-based quantum generative adversarial networks for Monte Carlo events
We propose and assess an alternative quantum generator architecture in the context of generative adversarial learning for Monte Carlo event generation, used to simulate particle physics processes at the Large Hadron Collider (LHC).
Quantum autoencoders with enhanced data encoding
We present the enhanced feature quantum autoencoder, or EF-QAE, a variational quantum algorithm capable of compressing quantum states of different models with higher fidelity.
Quantum Physics Statistical Mechanics High Energy Physics - Theory
Qibo: a framework for quantum simulation with hardware acceleration
We present Qibo, a new open-source software for fast evaluation of quantum circuits and adiabatic evolution which takes full advantage of hardware accelerators.
Quantum unary approach to option pricing
We present a quantum algorithm for European option pricing in finance, where the key idea is to work in the unary representation of the asset value.
Quantum Physics
Variational Quantum Linear Solver
Specifically, we prove that $C \geq \epsilon^2 / \kappa^2$, where $C$ is the VQLS cost function and $\kappa$ is the condition number of $A$.
Quantum Physics
