190 citations · 786 across the 30 of their papers we have counts for
32 papers
Boundary-induced geometrical frustration in a square Rydberg-atom lattice
Marco Rigobello, Luka Pavešić, Daniel Jaschke +4
We study geometric defects in square-lattice Rydberg-atom arrays induced by lattice-size parity in the striated density-wave phase. While odd-sized lattices select a single striate…
Quantum algorithms for compact polymer thermodynamics
Davide Rattacaso, Daniel Jaschke, Antonio Trovato +2
Efficient sampling from ensembles of Hamiltonian cycles is critical for predicting the thermodynamic properties of compact polymers, with applications including modeling protein an…
Towards Tensor Network Models for Low-Latency Jet Tagging on FPGAs
Alberto Coppi, Ema Puljak, Lorenzo Borella +6
We present a systematic study of Tensor Network (TN) models $\unicode{x2013}$ Matrix Product States (MPS) and Tree Tensor Networks (TTN) $\unicode{x2013}$ for real-time jet tagging…
Color code thresholds under circuit-level noise beyond the Pauli framework
Francesco Pio Barone, Daniel Jaschke, Ilaria Siloi +1
A quantum error correction code is assessed over its ability to correct errors in noisy quantum circuits. This task requires extensive simulations of faulty quantum circuits, which…
Quantum algorithms for equational reasoning
Davide Rattacaso, Daniel Jaschke, Marco Ballarin +2
As a cornerstone of automated reasoning, equational reasoning finds equivalences between symbolic expressions and fuels advances across scientific disciplines. Yet, its potential r…
The Augmented Tree Tensor Network Cookbook
Nora Reinić, Luka Pavešić, Daniel Jaschke +1
An augmented tree tensor network (aTTN) is a tensor network ansatz constructed by applying a layer of unitary disentanglers to a tree tensor network. The disentanglers absorb a par…
Entanglement transitions in a boundary-driven open quantum many-body system
Darvin Wanisch, Nora Reinić, Daniel Jaschke +2
We introduce a numerical framework for integrating Markovian dynamics on tree tensor operator (TTO) ansatz states. This framework enables the simulation of both transient and stead…
Integer Factorization via Tensor Network Schnorr's Sieving
Marco Tesoro, Ilaria Siloi, Daniel Jaschke +2
Classical public-key cryptography standards rely on the Rivest-Shamir-Adleman (RSA) encryption protocol. The security of this protocol is based on the exponential computational com…
Benchmarking Quantum Red TEA on CPUs, GPUs, and TPUs
Daniel Jaschke, Marco Ballarin, Nora Reinić +2
We benchmark simulations of many-body quantum systems on heterogeneous hardware platforms using CPUs, GPUs, and TPUs. We compare different linear algebra backends, e.g., NumPy vers…
Quantum circuit compilation with quantum computers
Davide Rattacaso, Daniel Jaschke, Marco Ballarin +2
Compilation optimizes quantum algorithms performances on real-world quantum computers. To date, it is performed via classical optimization strategies. We introduce a class of quant…
Tensor Networks for Lattice Gauge Theories beyond one dimension: a Roadmap
Giuseppe Magnifico, Giovanni Cataldi, Marco Rigobello +4
Tensor network methods are a class of numerical tools and algorithms to study many-body quantum systems in and out of equilibrium, based on tailored variational wave functions. The…
Constrained dynamics and confinement in the two-dimensional quantum Ising model
Luka Pavešić, Daniel Jaschke, Simone Montangero
We investigate the dynamics of the quantum Ising model on two-dimensional square lattices up to spins. In the ordered phase, the model is predicted to exhibit dynami…
Optimisation of ultrafast singlet fission in 1D rings towards unit efficiency
Francesco Campaioli, Alice Pagano, Daniel Jaschke +1
Singlet fission (SF) is an electronic transition that in the last decade has been under the spotlight for its applications in optoelectronics, from photovoltaics to spintronics. De…
Finite-temperature Rydberg arrays: quantum phases and entanglement characterization
Nora Reinić, Daniel Jaschke, Darvin Wanisch +2
As one of the most prominent platforms for analog quantum simulators, Rydberg atom arrays are a promising tool for exploring quantum phases and transitions. While the ground state…
Optimal control transport of neutral atoms in optical tweezers at finite temperature
Alice Pagano, Daniel Jaschke, Werner Weiss +1
The transport of neutral atoms in Rydberg quantum computers is a crucial step of the initial arrangement of the grid as well as to the dynamic connectivity, recently successfully d…
Optimal sampling of tensor networks targeting wave function's fast decaying tails
Marco Ballarin, Pietro Silvi, Simone Montangero +1
We introduce an optimal strategy to sample quantum outcomes of local measurement strings for isometric tensor network states. Our method generates samples based on an exact cumulat…
Digital quantum simulation of lattice fermion theories with local encoding
Marco Ballarin, Giovanni Cataldi, Giuseppe Magnifico +5
We numerically analyze the feasibility of a platform-neutral, general strategy to perform quantum simulations of fermionic lattice field theories under open boundary conditions. Th…
Ab-initio tree-tensor-network digital twin for quantum computer benchmarking in 2D
Daniel Jaschke, Alice Pagano, Sebastian Weber +1
Large-scale numerical simulations of the Hamiltonian dynamics of a Noisy Intermediate Scale Quantum (NISQ) computer - a digital twin - could play a major role in developing efficie…
Is quantum computing green? An estimate for an energy-efficiency quantum advantage
Daniel Jaschke, Simone Montangero
The quantum advantage threshold determines when a quantum processing unit (QPU) is more efficient with respect to classical computing hardware in terms of algorithmic complexity. T…
Error-budgeting for a controlled-phase gate with strontium-88 Rydberg atoms
Alice Pagano, Sebastian Weber, Daniel Jaschke +4
We study the implementation of a high fidelity controlled-phase gate in a Rydberg quantum computer. The protocol is based on a symmetric gate with respect to the two qubits as expe…
Dynamics for the Haldane phase in the Bilinear-Biquadratic Model
Arya Dhar, Daniel Jaschke, Lincoln D. Carr
The BBM is a promising candidate to study spin-one systems and to design quantum simulators based on its underlying Hamiltonian. The variety of different phases contains amongst ot…
Kibble-Zurek scaling of the one-dimensional Bose-Hubbard model at finite temperatures
Werner Weiss, Matthias Gerster, Daniel Jaschke +2
We use tensor network methods - Matrix Product States, Tree Tensor Networks, and Locally Purified Tensor Networks - to simulate the one dimensional Bose-Hubbard model for zero and…
Thermalization in the Quantum Ising Model - Approximations, Limits, and Beyond
Daniel Jaschke, Lincoln D. Carr, Ines de Vega
We present quantitative predictions for quantum simulator experiments on Ising models from trapped ions to Rydberg chains and show how the thermalization, and thus decoherence time…
One-dimensional many-body entangled open quantum systems with tensor network methods
Daniel Jaschke, Simone Montangero, Lincoln D. Carr
We present a collection of methods to simulate entangled dynamics of open quantum systems governed by the Lindblad equation with tensor network methods. Tensor network methods usin…