118 citations · 417 across the 23 of their papers we have counts for
19 papers · 1 filter
Mapping twist fields to local operators via tensor networks
Andrea Bulgarelli, Marco Panero, Paolo Stornati +1
Twist fields are a powerful formal tool to compute Rényi entropies in quantum many-body systems, but their conventional formulation in tensor network states involves operations act…
Exact stabilizer scars in two-dimensional lattice gauge theory
Sabhyata Gupta, Piotr Sierant, Luis Santos +1
The complexity of highly excited eigenstates is a central theme in nonequilibrium many-body physics, underpining questions of thermalization, classical simulability, and quantum in…
Limits of Clifford Disentangling in Tensor Network States
Sergi Masot-Llima, Piotr Sierant, Paolo Stornati +1
Tensor network methods leverage the limited entanglement of quantum states to efficiently simulate many-body systems. Alternatively, Clifford circuits provide a framework for handl…
Hardware-inspired Continuous Variables Quantum Optical Neural Networks
Todor Krasimirov-Ivanov, Alba Cervera-Lierta, Paolo Stornati +1
Continuous-variables (CV) quantum optics is a natural formalism for neural networks (NNs) due to its ability to reproduce the information processing of such trainable interconnecte…
Fermionic Magic Resources of Quantum Many-Body Systems
Piotr Sierant, Paolo Stornati, Xhek Turkeshi
Understanding the computational complexity of quantum states is a central challenge in quantum many-body physics. In qubit systems, fermionic Gaussian states can be efficiently sim…
Quantum Algorithms for Inverse Participation Ratio Estimation in multi-qubit and multi-qudit systems
Yingjian Liu, Piotr Sierant, Paolo Stornati +2
Inverse Participation Ratios (IPRs) and the related Participation Entropies quantify the spread of a quantum state over a selected basis of the Hilbert space, offering insights int…
Synthetic dimensions for topological and quantum phases: Perspective
Javier Argüello-Luengo, Utso Bhattacharya, Alessio Celi +8
In this Perspective article we report on recent progress on studies of synthetic dimensions, mostly, but not only, based on the research realized around the Barcelona groups (ICFO,…
Variational quantum simulation using non-Gaussian continuous-variable systems
Paolo Stornati, Antonio Acin, Ulysse Chabaud +3
This work introduces a novel approach to quantum simulation by leveraging continuous-variable systems within a photonic hardware-inspired framework. The primary focus is on simulat…
Towards Finding an Optimal Flight Gate Assignment on a Digital Quantum Computer
Yahui Chai, Lena Funcke, Tobias Hartung +4
We investigate the performance of the variational quantum eigensolver (VQE) for the optimal flight gate assignment problem. This problem is a combinatorial optimization problem tha…
Critical behavior of Ising model by preparing thermal state on quantum computer
Xiaoyang Wang, Xu Feng, Tobias Hartung +2
We simulate the critical behavior of the Ising model utilizing a thermal state prepared using quantum computing techniques. The preparation of the thermal state is based on the var…
Modern applications of machine learning in quantum sciences
Anna Dawid, Julian Arnold, Borja Requena +26
In this book, we provide a comprehensive introduction to the most recent advances in the application of machine learning methods in quantum sciences. We cover the use of deep learn…
Dimensional Expressivity Analysis, best-approximation errors, and automated design of parametric quantum circuits
Lena Funcke, Tobias Hartung, Karl Jansen +3
The design of parametric quantum circuits (PQCs) for efficient use in variational quantum simulations (VQS) is subject to two competing factors. On one hand, the set of states that…
Model-Independent Error Mitigation in Parametric Quantum Circuits and Depolarizing Projection of Quantum Noise
Xiaoyang Wang, Xu Feng, Lena Funcke +5
Finding ground states and low-lying excitations of a given Hamiltonian is one of the most important problems in many fields of physics. As a novel approach, quantum computing on No…
Investigating the variance increase of readout error mitigation through classical bit-flip correction on IBM and Rigetti quantum computers
Constantia Alexandrou, Lena Funcke, Tobias Hartung +6
Readout errors are among the most dominant errors on current noisy intermediate-scale quantum devices. Recently, an efficient and scaleable method for mitigating such errors has be…
Using classical bit-flip correction for error mitigation including 2-qubit correlations
Constantia Alexandrou, Lena Funcke, Tobias Hartung +5
We present an error mitigation scheme which corrects readout errors on Noisy Intermediate-Scale Quantum (NISQ) computers [1,2]. After a short review of applying the method to one q…
Towards Quantum Simulations in Particle Physics and Beyond on Noisy Intermediate-Scale Quantum Devices
Lena Funcke, Tobias Hartung, Karl Jansen +4
We review two algorithmic advances that bring us closer to reliable quantum simulations of model systems in high energy physics and beyond on noisy intermediate-scale quantum (NISQ…
Best-approximation error for parametric quantum circuits
Lena Funcke, Tobias Hartung, Karl Jansen +3
In Variational Quantum Simulations, the construction of a suitable parametric quantum circuit is subject to two counteracting effects. The number of parameters should be small for…
Dimensional Expressivity Analysis of Parametric Quantum Circuits
Lena Funcke, Tobias Hartung, Karl Jansen +2
Parametric quantum circuits play a crucial role in the performance of many variational quantum algorithms. To successfully implement such algorithms, one must design efficient quan…
Measurement Error Mitigation in Quantum Computers Through Classical Bit-Flip Correction
Lena Funcke, Tobias Hartung, Karl Jansen +3
We develop a classical bit-flip correction method to mitigate measurement errors on quantum computers. This method can be applied to any operator, any number of qubits, and any rea…