Talks

Gravitational waves were detected in 2015 after 100 years of their prediction. Coalescence of black holes and neutron stars have been studied giving birth to a new way of studying our Universe. The coincidence of the gravitational signal with a gamma ray burst has been identified as the beginning of multi-messenger astronomy. In order to move from the limited statistics, allowed by the actually running interferometers (LIGO and VIRGO), to a huge sample a new generation of detectors has to be designed , built and operated. Einstein Telescope is the project for a third generation detector, supported by a large European collaboration. It is going to be formed by a combination of a Low Frequency Cryogenic interferometer and an High Frequency high laser power interferometer both located underground in order to minimise the noise. Laser technology, seismic noise attenuation, quantim squeezing are a few of the keys to success. The experiment is going to produce results in several field of research like astronomy, astrophysics, nuclear physics, cosmology. It is going to be in competition and cooperation with the US project Cosmic Explorer.

High-rate quantum low-density parity-check (qLDPC) codes offer significantly lower encoding overhead compared to their topological counterparts by relaxing locality constraints. However, achieving full-fledged logical computation with these codes in physical systems with low space-time costs remains a formidable challenge. In the first part of this talk, I will provide an overview of recent advancements in implementing qLDPC codes as quantum memories on realistic platforms, such as reconfigurable atom arrays. Next, I will present a new scheme for performing parallelizable and locally addressable logical operations on homological product codes. This scheme extends the transversal CNOT gate from two identical CSS codes to two distinct, yet structurally similar, qLDPC codes, enabling efficient local addressing of collectively encoded information. We demonstrate that this approach achieves lower overhead in not only the space- but also the overall space-time overhead compared to surface-code-based computations. Finally, I will discuss new strategies for achieving highly space-time-efficient computations with qLDPC codes by leveraging algorithm-specific fault tolerance, designing tailored protocols for structured quantum algorithms.

I will give a general method for producing a process theory of local spacetime events and higher-order transformations from any base process theory of first-order maps. This process theory models events as intervention-context pairs, uniting the local actions by agents with the structure of the spacetime around them. I will show how this theory is richer than a standard process theory by permitting additional ways of composing agents beyond the usual tensor product, thereby capturing various strengths of possible spatio-temporal correlations. I will also explain the connection between these compositions and the logic "system BV".

In this talk, we study how noise and quantum monitoring shape symmetry breaking and chaos. We discuss the simulation of complex open quantum systems using classical noise and how noise limits adiabatic strategies, giving rise to anti-Kibble-Zurek scaling. We further show how spontaneous symmetry breaking is modified in the presence of an observer whose action is described by continuous quantum measurements. In the second part of the talk, we show how the signatures of Hamiltonian quantum chaos in the spectral form factor are suppressed energy dephasing while they are enhanced when the dynamics is conditioned to the absence of con quantum jumps.

Non-Abelian anyons, a promising platform for fault-tolerant topological quantum computation, adhere to the charge super-selection rule (cSSR), which imposes restrictions on physically allowed states and operations. However, the ramifications of cSSR and fusion rules in anyonic quantum information theory remain largely unexplored. In this talk, we unveil that the information-theoretic characteristics of anyons diverge fundamentally from those of non-anyonic systems such as qudits, bosons, and fermions and display intricate structures. In bipartite anyonic systems, pure states may have different marginal spectra, and mixed states may contain pure marginal states. More striking is that in a bipartite pure entangled state, parties may lack equal access to entanglement. This we call entanglement disparity, and it is manifested in asymmetric quantum teleportation employing an entangled anyonic state shared between Alice and Bob, where Alice can perfectly teleport unknown quantum information to Bob, but Bob lacks this capability. These traits challenge conventional understanding, necessitating new approaches to characterize quantum information and correlations in anyons. We expect that these distinctive features will also be present in non-Abelian lattice gauge field theories. Our findings significantly advance the understanding of the information-theoretic aspects of anyons and may lead to realizations of quantum communication and cryptographic protocols where one party holds sway over the other.

In this lecture, we provide an introduction to quantum trajectory theory. We present various mathematical problems that arise within this context. In particular, we introduce approaches for analyzing the asymptotic behavior, convergence speed, and stabilization of quantum trajectories toward different states or subspaces through feedback control strategies. Our study includes both quantum non-demolition (QND) measurements and generic (non-QND) measurements in discrete-time and continuous-time settings.

Synchronization is a fundamental phenomenon in complex systems and nonlinear dynamics, driving coordinated behavior across a wide range of natural and artificial systems. From the synchronized flashing of fireflies to the coordinated oscillations in brain networks, the study of synchronization has revealed profound insights into how order emerges in interacting systems. While often associated with order and coherence, synchronization in complex networks can exhibit surprising behaviors, challenging traditional perspectives and revealing new facets of dynamical organization.In this talk, I will first review key contributions from our group to the understanding of synchronization in systems of mobile oscillators. These systems, characterized by the interplay between dynamical states and the physical motion of the oscillators, provide a rich platform to explore novel forms of synchronization.Furthermore, I will highlight the pivotal role of symmetries in shaping synchronization and its breakdown in brain networks. Our work has uncovered how symmetry-breaking mechanisms drive the emergence of localized activity patterns and how symmetry-based principles can be used to design interventions for desynchronization. 

Recent developments in the architecture of quantum computers have enabled their use in applications for various information-processing tasks. This information becomes unreliable primarily due to the erroneous implementation of control methods for state preparation and measurements and the qubit’s inability to store information for long periods in the presence of uncontrollable noise sources. Conventional noise spectroscopy protocols can characterize and model environmental noise but are usually resource-intensive and lengthy. Moreover, the underlying noise can vary over time, making noise profile extraction futile as this new information cannot be harnessed to improve quantum error correction or dynamical decoupling protocols. In this work, we address this challenge using a machine learning-based methodology to swiftly extract noise spectra of multiple qubits and demonstrate a possible noise mitigation strategy. The procedure involves implementing undemanding dynamical decoupling sequences to record coherence decays of the investigated qubits and then predict the underlying noise spectra with the help of a convolution neural network pre-trained on a synthetic dataset. The protocol is virtually hardware-agnostic. However, we validated its effectiveness using IBM’s superconducting qubits. We used these rapidly obtained yet accurate noise spectra to design bespoke dynamic decoupling sequences and perform time-dependent noise spectroscopy.

A variable-range interacting Ising model with spin-$s$ particles exhibits distinct behavior depending on the fall-off rates in the range of interactions, notably non-local (NL), quasi-local (QL), and local, which are based on the equilibrium properties.  It is unknown if such a transition is respected in the dynamical framework. We use an analytically solvable model in arbitrary spatial dimension ($D$), to establish a dynamical non-local (dNL) behavior, which does not agree with the known result of equilibrium NL behavior. We analyze the profiles of topological entanglement entropy (TEE), mutual information, Lieb-Robinson bound (LRB) and genuine multipartite entanglement (GME) of the weighted graph state (WGS), prepared when the multi-level maximally coherent state at each site evolves according to the long-range spin-$s$ Ising Hamiltonian. Specifically, we demonstrate that the connection between the LRB profile and the divergence in the first derivative of GME with respect to the fall-off rate in the WGS can indicate the transition point from dNL to a dynamical local/quasi-local (dQL) regimes.

After introducing the basic notions about tensors, I will discuss different aspects of quantum entanglement in the framework of tensor norms. I will show how this point of view can bring new insights to this fundamental notion of quantum theory and how new entanglement criteria can be naturally obtained in this way.