activity
20192026
most citedEfficient training of energy-based models via spin-glass control

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

collaborators

6 papers

quant-ph2026

Distinguishing synthetic unravelings on quantum computers

Eloy Piñol, Piotr Sierant, Dustin Keys +6

Distinct monitoring or intervention schemes can produce different conditioned stochastic quantum trajectories while sharing the same unconditional (ensemble-averaged) dynamics. Thi…

quant-ph2024

Sonification of Wigner functions: case study of intense light-matter interactions

Reiko Yamada, Antoine Reserbat-Plantey, Eloy Piñol +1

In quantum mechanics, the Wigner function serves as a phase-space representation, capturing information about both the position and moment…

quant-ph2023★ 3 cited

Telling different unravelings apart via nonlinear quantum-trajectory averages

Eloy Piñol, Th. K. Mavrogordatos, Dustin Keys +7

The Gorini-Kossakowski-Sudarshan-Lindblad master equation (ME) governs the density matrix of open quantum systems (OQSs). When an OQS is subjected to weak continuous measurement, i…

cond-mat.stat-mech2023

Universal representation by Boltzmann machines with Regularised Axons

Przemysław R. Grzybowski, Antoni Jankiewicz, Eloy Piñol +7

It is widely known that Boltzmann machines are capable of representing arbitrary probability distributions over the values of their visible neurons, given enough hidden ones. Howev…

quant-ph2023

Towards the Intuitive Understanding of Quantum World: Sonification of Rabi Oscillations, Wigner functions, and Quantum Simulators

Reiko Yamada, Eloy Piñol, Samuele Grandi +2

Recently, there has been considerable interest in "sonifying" scientific data; however, sonifying quantum processes using the newest quantum technologies, including Noise Intermedi…

cond-mat.stat-mech2019★ 8 cited

Efficient training of energy-based models via spin-glass control

Alejandro Pozas-Kerstjens, Gorka Muñoz-Gil, Eloy Piñol +4

We introduce a new family of energy-based probabilistic graphical models for efficient unsupervised learning. Its definition is motivated by the control of the spin-glass propertie…