112 citations · 985 across the 32 of their papers we have counts for
33 papers
Measurement-free Preparation of Surface-Code States with Digital-Analog Counterdiabatic Drivings
Shubham Kumar Balaganchi A. Bhargava, Shubham Kumar, Balaganchi A. Bhargava +6
Preparing stabilizer-code states with shallow circuits is an important primitive for near-term quantum error correction in superconducting circuits, where logical-state initializat…
Quantum-enhanced satellite image classification
Qi Zhang, Anton Simen, Carlos Flores-Garrigós +7
We demonstrate the application of a quantum feature extraction method to enhance multi-class image classification for space applications. By harnessing the dynamics of many-body sp…
Universal Characterization of Quantum Vacuum Measurement Engines
Robert Czupryniak, Bibek Bhandari, Paolo Andrea Erdman +1
Quantum measurements can inject energy into quantum systems, enabling engines whose operation is powered entirely by measurements. We develop a general theory of quantum vacuum mea…
Constant Depth Digital-Analog Counterdiabatic Quantum Computing
Balaganchi A. Bhargava, Shubham Kumar, Anne-Maria Visuri +3
We introduce a digital-analog quantum computing framework that enables counterdiabatic protocols to be implemented at constant circuit depth, allowing fast and resource-efficient q…
Reinforcement learning of quantum circuit architectures for molecular potential energy curves
Maureen Krumtünger, Alissa Wilms, Paul K. Faehrmann +4
Quantum chemistry and optimization are two of the most prominent applications of quantum computers. Variational quantum algorithms have been proposed for solving problems in these…
Digitized Counterdiabatic Quantum Sampling
Narendra N. Hegade, Nachiket L. Kortikar, Balaganchi A. Bhargava +9
We propose digitized counterdiabatic quantum sampling (DCQS), a hybrid quantum-classical algorithm for efficient sampling from energy-based models, such as low-temperature Boltzman…
Speeding up thermalization and quantum state preparation through engineered quantum collisions
Sofia Sgroi, Salvatore Lorenzo, Luca Innocenti +3
We realize fast thermalization and state preparation of a single mode cavity field using a collision model-like approach, where a sequence of qubits or three level system ancillae,…
Partitioning the electronic wave function using deep variational Monte Carlo
Matěj Mezera, Paolo A. Erdman, Zeno Schätzle +2
We propose a novel wave function partitioning method that integrates deep-learning variational Monte Carlo with ansätze based on generalized product functions. This approach effect…
Deep quantum Monte Carlo approach for polaritonic chemistry
Yifan Tang, Gian Marcello Andolina, Alica Cuzzocrea +5
Recent years have witnessed a surge of experimental and theoretical interest in controlling the properties of matter, such as its chemical reactivity, by confining it in optical ca…
From dynamical to steady-state many-body metrology: Precision limits and their attainability with two-body interactions
Ricard Puig, Pavel Sekatski, Paolo Andrea Erdman +3
We consider the estimation of an unknown parameter via a many-body probe. The probe is initially prepared in a product state and many-body time-independent interactions enhance…
Artificially intelligent Maxwell's demon for optimal control of open quantum systems
Paolo Andrea Erdman, Robert Czupryniak, Bibek Bhandari +4
Feedback control of open quantum systems is of fundamental importance for practical applications in various contexts, ranging from quantum computation to quantum error correction a…
Dicke superradiant enhancement of the heat current in circuit QED
Gian Marcello Andolina, Paolo Andrea Erdman, Frank Noé +2
Collective effects, such as Dicke superradiant emission, can enhance the performance of a quantum device. Here, we study the heat current flowing between a cold and a hot bath thro…
Dissipation-induced collective advantage of a quantum thermal machine
Matteo Carrega, Luca Razzoli, Paolo Andrea Erdman +3
Do quantum correlations lead to better performance with respect to several different systems working independently? For quantum thermal machines, the question is whether a working…
Reinforcement learning optimization of the charging of a Dicke quantum battery
Paolo Andrea Erdman, Gian Marcello Andolina, Vittorio Giovannetti +1
Quantum batteries are energy-storing devices, governed by quantum mechanics, that promise high charging performance thanks to collective effects. Due to its experimental feasibilit…
Measurement-based quantum thermal machines with feedback control
Bibek Bhandari, Robert Czupryniak, Paolo Andrea Erdman +1
We investigate coupled-qubit-based thermal machines powered by quantum measurements and feedback. We consider two different versions of the machine: 1) a quantum Maxwell's demon wh…
Optimal Thermometers with Spin Networks
Paolo Abiuso, Paolo Andrea Erdman, Michael Ronen +3
The heat capacity of a given probe is a fundamental quantity that determines, among other properties, the maximum precision in temperature estimation. In turn, $\math…
Optimal Control Methods for Quantum Batteries
Francesco Mazzoncini, Vasco Cavina, Gian Marcello Andolina +2
We investigate the optimal charging processes for several models of quantum batteries, finding how to maximize the energy stored in a given battery with a finite-time modulation of…
Pareto-optimal cycles for power, efficiency and fluctuations of quantum heat engines using reinforcement learning
Paolo Andrea Erdman, Alberto Rolandi, Paolo Abiuso +2
The full optimization of a quantum heat engine requires operating at high power, high efficiency, and high stability (i.e. low power fluctuations). However, these three objectives…
Model-free optimization of power/efficiency tradeoffs in quantum thermal machines using reinforcement learning
Paolo Andrea Erdman, Frank Noé
A quantum thermal machine is an open quantum system that enables the conversion between heat and work at the micro or nano-scale. Optimally controlling such out-of-equilibrium syst…
Electronic excited states in deep variational Monte Carlo
Mike Entwistle, Zeno Schätzle, Paolo A. Erdman +2
Obtaining accurate ground and low-lying excited states of electronic systems is crucial in a multitude of important applications. One ab initio method for solving the Schrödinger e…
Heat rectification through single and coupled quantum dots
Ludovico Tesser, Bibek Bhandari, Paolo Andrea Erdman +3
We study heat rectification through quantum dots in the Coulomb blockade regime using a master equation approach. We consider both cases of two-terminal and four-terminal devices.…
Identifying optimal cycles in quantum thermal machines with reinforcement-learning
Paolo Andrea Erdman, Frank Noé
The optimal control of open quantum systems is a challenging task but has a key role in improving existing quantum information processing technologies. We introduce a general frame…
Thermal rectification through a nonlinear quantum resonator
Bibek Bhandari, Paolo Andrea Erdman, Rosario Fazio +2
We present a comprehensive and systematic study of thermal rectification in a prototypical low-dimensional quantum system -- a non-linear resonator: we identify necessary condition…
Maximum power heat engines and refrigerators in the fast-driving regime
Vasco Cavina, Paolo A. Erdman, Paolo Abiuso +2
We study the optimization of the performance of arbitrary periodically driven thermal machines. Within the assumption of fast modulation of the driving parameters, we derive the op…