78 citations · 109 across the 9 of their papers we have counts for
9 papers
Tensor Networks with Belief Propagation Cannot Feasibly Simulate Google's Quantum Echoes Experiment
Pablo Bermejo, Benjamin Villalonga, Brayden Ware +2
In the recent quantum echoes experiment, Google Quantum AI showed that out-of-time-order correlators (OTOCs) for random-circuit time evolution can be measured using a quantum proce…
The Denario project: Deep knowledge AI agents for scientific discovery
Francisco Villaescusa-Navarro, Boris Bolliet, Pablo Villanueva-Domingo +33
We present Denario, an AI multi-agent system designed to serve as a scientific research assistant. Denario can perform many different tasks, such as generating ideas, checking the…
Quantum-inspired clustering with light
Miguel Varga, Pablo Bermejo, Rubén Pellicer-Guridi +2
This article introduces a novel approach to perform the simulation of a single qubit quantum algorithm using laser beams. Leveraging the polarization states of photonic qubits, and…
Does provable absence of barren plateaus imply classical simulability?
M. Cerezo, Martin Larocca, Diego García-Martín +9
A large amount of effort has recently been put into understanding the barren plateau phenomenon. In this perspective article, we face the increasingly loud elephant in the room and…
Hacking Cryptographic Protocols with Advanced Variational Quantum Attacks
Borja Aizpurua, Pablo Bermejo, Josu Etxezarreta Martinez +1
Here we introduce an improved approach to Variational Quantum Attack Algorithms (VQAA) on crytographic protocols. Our methods provide robust quantum attacks to well-known cryptogra…
Improving Gradient Methods via Coordinate Transformations: Applications to Quantum Machine Learning
Pablo Bermejo, Borja Aizpurua, Roman Orus
Machine learning algorithms, both in their classical and quantum versions, heavily rely on optimization algorithms based on gradients, such as gradient descent and alike. The overa…
Variational Quantum Continuous Optimization: a Cornerstone of Quantum Mathematical Analysis
Pablo Bermejo, Roman Orus
Here we show how universal quantum computers based on the quantum circuit model can handle mathematical analysis calculations for functions with continuous domains, without any dig…
Variational Quantum Non-Orthogonal Optimization
Pablo Bermejo, Roman Orus
Current universal quantum computers have a limited number of noisy qubits. Because of this, it is difficult to use them to solve large-scale complex optimization problems. In this…
Variational Quantum and Quantum-Inspired Clustering
Pablo Bermejo, Roman Orus
Here we present a quantum algorithm for clustering data based on a variational quantum circuit. The algorithm allows to classify data into many clusters, and can easily be implemen…