Analog quantum simulators based on ultracold atoms trapped in optical lattices can be used to study condensed matter systems with single-site resolution. The quest for more control over individual atoms in such systems has culminated in a new generation of experiments based on atom arrays assembled with optical tweezers. These atom arrays can be created rapidly in arbitrary two- and...
Visual information can be manipulated in terms of images, usually captured and then processed through a sequence of computational operations. Alternatively, optical systems can perform such operations directly, reducing computational overhead at the cost of stricter design requirements. We discuss this workflow in the context of quantum technologies. First, we introduce a quantum algorithm...
In our work, we formulate a novel variational quantum approach to solve the travelling salesman problem (TSP), and we demonstrate it through a silicon photonic circuit (Si-PIC). The TSP [1] is a well-known combinatorial classical problem which is NP-hard. The aim consists of finding the shortest route among N cities, passing through each city once and ending at the initial city. Today, there...
The preparation of data in quantum states is a critical component in the design of quantum algorithms. The cost of this step can significantly limit the realization of quantum advantage in domains such as machine learning, finance, and chemistry. One of the main approaches to achieve efficient state preparation is through the use of Quantum Random Access Memory (QRAM), a theoretical device for...
We introduce a novel framework that connects probabilistic cellular automata (PCA) with quantum cellular automata (QCA) to tackle graph optimization problems, focusing on the Maximum Independent Set (MIS) task. Starting from a new class of classical PCA rules acting locally on graphs with bounded degree, we show how to construct a corresponding QCA whose dissipative dynamics drives the system...
Propagating microwave photons in waveguides couple well to superconducting qubits and mediate long-range interactions between distant qubits causing the emergence of collective states. Of particular interest are dark or subradiant states, which are protected from decoherence as they decouple from the waveguide environment.
However, the protection from decoherence comes with a caveat that...
The engineerable quantum macroscopic and artificial nature of superconducting quantum platforms [1], also recognized by the recent Nobel prize to Clarke, Martinis and Devoret, has favored noticeable advancements towards both quantum utility in the Noisy and Intermediate Scale Quantum (NISQ) era and quantum error correction for fault-tolerant quantum computing [2-5]. Nevertheless, the...
Superconducting circuits are recognized as one of the most promising platforms for scalable quantum information processing, demonstrating both quantum advantage and rapid progress in multi‑qubit control [1,2]; this maturity is further emphasized by the 2025 Nobel Prize in Physics awarded to J. Clarke, M. H. Devoret, and J. M. Martinis for their pioneering contributions to superconducting...
Circuit quantum electrodynamics (circuit QED) advanced thanks to the development of the field of quantum circuit which find applications not only as quantum bits for quantum information processing but also in the linear and nonlinear manipulation of quantum microwave fields. Circuit QED with quantum dots (QDs) is a platform where quantum dots act as artificial atoms that interact with...
Non-covalent interactions (i.e. dispersions, hydrogen-bonding, polarization) are fundamental molecular interactions with key implications for the fields of chemistry, biology, and materials science. A precise understanding of these forces requires an accurate treatment of electron correlation effects, which remains a challenge for classical computational methods. Quantum computing offers a...
Photochemistry involves light-induced chemical processes that lead to changes in the (excited-state) molecular structures and drive chemical transformations. When molecules absorb light, they can transition to excited states, leading to ensuing processes like internal conversion, Inter–System Crossing (ISC), or radiative emission (fluorescence and phosphorescence) to dissipate the excess...
Recent breakthroughs in quantum simulation and computation are fostering new insights into exotic phenomena in quantum many-body systems, as well as motivating extensive research to develop novel experimental protocols to speed up the solution of classical optimization problems.
On the one hand, these advances call for state-of-the-art numerical techniques to test new protocols and benchmark...
In this talk, an overview of the quantum computing activities carried out at the Istituto Nazionale di Fisica Nucleare (INFN) will be presented, with a particular focus on their applications to particle and astroparticle physics. Examples include the use of quantum computing techniques in Large Hadron Collider data analysis, neutrino experiments, and theoretical calculations. It will be shown...
Quantum optimization has emerged as a promising approach for tackling complicated classical optimization problems using quantum devices. However, the extent to which such algorithms harness genuine quantum resources and the role of these resources in their success remain open questions.
In this work, we investigate the resource requirements of the Quantum Approximate Optimization Algorithm...
When we aim to accurately simulate the behaviour of complex dynamical
systems, the problem of finding simpler representations for the model of interest becomes critical. We focus on completely-positive (CP) dynamics, which can be used to describe a wide variety of physically-relevant systems for quantum and classical information, including quantum walks and open quantum systems. For these...
Symmetries play a crucial role in shaping transport in quantum many-body systems, often leading to departures from conventional diffusion. In this talk, I will discuss transport at infinite temperature in chiral integrable systems with global SU(2) symmetry. We study both Hamiltonian and Floquet (circuit) realizations, finding the dynamics exhibit a dynamical exponent z=3/2, consistent with...
The self-organization of strongly interacting particles in confined geometries gives rise to a variety of structural phenomena that are relevant both to fundamental physics and to the advancement of controllable quantum systems. Two-dimensional Coulomb crystals of trapped ions provide an ideal platform to explore these effects and represent one of the most promising routes toward scalable...
By means of a Neural Network Variational Wave Function numerical
method, we study the Quantum Spin Glass phase of a disordered Heisenberg model in two spatial dimensions. As the fraction of antiferromagnetic bonds is increased, we find that the model has a QSG phase clearly distinct from the ferro- and antiferro-magnetic order. We further investigate this phase using a semiclassical...