Publications

@article{tononi2024quantum,

title = {Quantum vortices in curved geometries},

author = {A Tononi and L Salasnich and A Yakimenko},

url = {https://doi.org/10.1116/5.0211426},

year  = {2024},

date = {2024-01-01},

journal = {AVS Quantum Science},

volume = {6},

number = {3},

publisher = {AIP Publishing},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{salasnich2024quantum,

title = {Quantum wave representation of dissipative fluids},

author = {Luca Salasnich and Sauro Succi and Adriano Tiribocchi},

url = {https://doi.org/10.1142/S0129183124501006},

year  = {2024},

date = {2024-01-01},

journal = {Int. J. Mod. Phys. C},

volume = {35},

pages = {2450100},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{sattin2024revisiting,

title = {Revisiting the Toda–Brumer–Duff criterion for order-chaos transition in dynamical systems},

author = {Fabio Sattin and Luca Salasnich},

url = {https://www.sciencedirect.com/science/article/pii/S0167278924000186?via%3Dihub},

year  = {2024},

date = {2024-01-01},

journal = {Physica D: Nonlinear Phenomena},

volume = {460},

pages = {134067},

publisher = {Elsevier},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{PhysRevA.110.062608,

title = {Role of bases in quantum optimal control},

author = {Alice Pagano and Matthias M. Müller and Tommaso Calarco and Simone Montangero and Phila Rembold},

url = {https://link.aps.org/doi/10.1103/PhysRevA.110.062608},

doi = {10.1103/PhysRevA.110.062608},

year  = {2024},

date = {2024-12-01},

journal = {Phys. Rev. A},

volume = {110},

issue = {6},

pages = {062608},

publisher = {American Physical Society},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{PhysRevA.109.052221,

title = {Role of quantum correlations in daemonic expected utility},

author = {Gianluca Francica and Luca Dell'Anna},

url = {https://link.aps.org/doi/10.1103/PhysRevA.109.052221},

doi = {10.1103/PhysRevA.109.052221},

year  = {2024},

date = {2024-05-01},

journal = {Phys. Rev. A},

volume = {109},

issue = {5},

pages = {052221},

publisher = {American Physical Society},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{tononi2024shell,

title = {Shell-shaped atomic gases},

author = {Andrea Tononi and Luca Salasnich},

url = {https://doi.org/10.1016/j.physrep.2024.04.004},

year  = {2024},

date = {2024-01-01},

journal = {Physics Reports},

volume = {1072},

pages = {1–48},

publisher = {Elsevier},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{PhysRevResearch.6.033057,

title = {Simulating (2+1)D SU(2) Yang-Mills lattice gauge theory at finite density with tensor networks},

author = {Giovanni Cataldi and Giuseppe Magnifico and Pietro Silvi and Simone Montangero},

url = {https://link.aps.org/doi/10.1103/PhysRevResearch.6.033057},

doi = {10.1103/PhysRevResearch.6.033057},

year  = {2024},

date = {2024-07-01},

journal = {Phys. Rev. Res.},

volume = {6},

issue = {3},

pages = {033057},

publisher = {American Physical Society},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{PhysRevB.110.184202,

title = {Strongly interacting bosons in a one-dimensional disordered lattice: Phase coherence of distorted Mott phases},

author = {Barnali Chakrabarti and Arnaldo Gammal and Luca Salasnich},

url = {https://link.aps.org/doi/10.1103/PhysRevB.110.184202},

doi = {10.1103/PhysRevB.110.184202},

year  = {2024},

date = {2024-11-01},

journal = {Phys. Rev. B},

volume = {110},

issue = {18},

pages = {184202},

publisher = {American Physical Society},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{PhysRevLett.132.163602,

title = {Strongly Interacting Photons in 2D Waveguide QED},

author = {Matija Teıfmmode checkcelse čfier and Marco Di Liberto and Pietro Silvi and Simone Montangero and Filippo Romanato and Giuseppe Calajó},

url = {https://link.aps.org/doi/10.1103/PhysRevLett.132.163602},

doi = {10.1103/PhysRevLett.132.163602},

year  = {2024},

date = {2024-04-01},

journal = {Phys. Rev. Lett.},

volume = {132},

issue = {16},

pages = {163602},

publisher = {American Physical Society},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{gradenigo2024symplectic,

title = {Symplectic quantization iii: Non-relativistic limit},

author = {Giacomo Gradenigo and Roberto Livi and Luca Salasnich},

url = {https://link.springer.com/article/10.1007/s10701-024-00783-5},

year  = {2024},

date = {2024-01-01},

journal = {Foundations of Physics},

volume = {54},

number = {4},

pages = {50},

publisher = {Springer},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{doi:10.1021/acsnano.4c04786,

title = {Valley-Hybridized Gate-Tunable 1D Exciton Confinement in MoSe2},

author = {Maximilian Heithoff and Álvaro Moreno and Iacopo Torre and Matthew S. G. Feuer and Carola M. Purser and Gian Marcello Andolina and Giuseppe Calajò and Kenji Watanabe and Takashi Taniguchi and Dhiren M. Kara and Patrick Hays and Seth Ariel Tongay and Vladimir I. Fal’ko and Darrick Chang and Mete Atatüre and Antoine Reserbat-Plantey and Frank H. L. Koppens},

url = {https://doi.org/10.1021/acsnano.4c04786},

doi = {10.1021/acsnano.4c04786},

year  = {2024},

date = {2024-01-01},

journal = {ACS Nano},

volume = {18},

number = {44},

pages = {30283-30292},

note = {PMID: 39431410},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{PhysRevE.109.064138,

title = {Work fluctuation theorems with initial quantum coherence},

author = {Gianluca Francica and Luca Dell'Anna},

url = {https://link.aps.org/doi/10.1103/PhysRevE.109.064138},

doi = {10.1103/PhysRevE.109.064138},

year  = {2024},

date = {2024-06-01},

journal = {Phys. Rev. E},

volume = {109},

issue = {6},

pages = {064138},

publisher = {American Physical Society},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{g.cataldi2023(2+1)d,

title = {(2+1)D SU(2) Yang-Mills Lattice Gauge Theory at finite density via tensor networks},

author = {P. Silvi G. Magnifico G. Cataldi},

doi = {https://doi.org/10.48550/arXiv.2307.09396},

year  = {2023},

date = {2023-01-01},

urldate = {2023-01-01},

journal = {arXiv:2307.09396},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{PhysRevResearch.5.023064,

title = {Chiral orbital order of interacting bosons without higher bands},

author = {Marco Di Liberto and Nathan Goldman},

url = {https://link.aps.org/doi/10.1103/PhysRevResearch.5.023064},

doi = {10.1103/PhysRevResearch.5.023064},

year  = {2023},

date = {2023-04-01},

journal = {Phys. Rev. Res.},

volume = {5},

issue = {2},

pages = {023064},

publisher = {American Physical Society},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Ballarin2023,

title = {Entanglement entropy production in Quantum Neural Networks},

author = {Marco Ballarin and Stefano Mangini and Simone Montangero and Chiara Macchiavello and Riccardo Mengoni},

url = {https://doi.org/10.22331/q-2023-05-31-1023},

doi = {10.22331/q-2023-05-31-1023},

year  = {2023},

date = {2023-05-01},

journal = {Quantum},

volume = {7},

pages = {1023},

publisher = {Verein zur Forderung des Open Access Publizierens in den Quantenwissenschaften},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{kruckenhauser_high-dimensional_2023,

title = {High-dimensional SO(4)-symmetric Rydberg manifolds for quantum simulation},

author = {Andreas Kruckenhauser and Rick Bijnen and Torsten V Zache and Marco Di_Liberto and Peter Zoller},

url = {https://iopscience.iop.org/article/10.1088/2058-9565/aca996},

doi = {10.1088/2058-9565/aca996},

issn = {2058-9565},

year  = {2023},

date = {2023-01-01},

urldate = {2023-01-01},

journal = {Quantum Science and Technology},

volume = {8},

number = {1},

pages = {015020},

abstract = {Abstract 

 We develop a toolbox for manipulating arrays of Rydberg atoms prepared in high-dimensional hydrogen-like manifolds in the regime of linear Stark and Zeeman effect. We exploit the SO(4) symmetry to characterize the action of static electric and magnetic fields as well as microwave and optical fields on the well-structured manifolds of states with principal quantum number 

 n 

 . This enables us to construct generalized 

 large-spin 

 Heisenberg models for which we develop state-preparation and readout schemes. Due to the available large internal Hilbert space, these models provide a natural framework for the quantum simulation of quantum field theories, which we illustrate for the case of the sine-Gordon and massive Schwinger models. Moreover, these high-dimensional manifolds also offer the opportunity to perform quantum information processing operations for qudit-based quantum computing, which we exemplify with an entangling gate and a state-transfer protocol for the states in the neighborhood of the circular Rydberg level.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Jaschke2023,

title = {Is quantum computing green? An estimate for an energy-efficiency quantum advantage},

author = {Daniel Jaschke and Simone Montangero},

url = {https://doi.org/10.1088/2058-9565/acae3e},

doi = {10.1088/2058-9565/acae3e},

year  = {2023},

date = {2023-01-01},

journal = {Quantum Science and Technology},

volume = {8},

number = {2},

pages = {025001},

publisher = {IOP Publishing},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{calajo2023nonlinear,

title = {Nonlinear quantum logic with colliding graphene plasmons},

author = {Giuseppe Calajó and Philipp K Jenke and Lee A Rozema and Philip Walther and Darrick E Chang and Joel D Cox},

url = {https://arxiv.org/abs/2207.05122 

https://doi.org/10.1103/PhysRevResearch.5.013188},

year  = {2023},

date = {2023-01-01},

urldate = {2023-01-01},

journal = {Physical Review Research},

volume = {5},

number = {1},

pages = {013188},

publisher = {APS},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{a.d.meglio2023quantum,

title = {Quantum Computing for High-Energy Physics: State of the Art and Challenges. Summary of the QC4HEP Working Group},

author = {I. Tavernelli K. Jansen A. D. Meglio},

url = {https://doi.org/10.48550/arXiv.2307.03236 

https://arxiv.org/abs/2307.03236v1},

doi = {10.48550/arXiv.2307.03236},

year  = {2023},

date = {2023-01-01},

urldate = {2023-01-01},

journal = {arXiv:2307.03236},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Rossignolo2023,

title = {QuOCS: The quantum optimal control suite},

author = {Marco Rossignolo and Thomas Reisser and Alastair Marshall and Phila Rembold and Alice Pagano and Philipp J. Vetter and Ressa S. Said and Matthias M. Müller and Felix Motzoi and Tommaso Calarco and Fedor Jelezko and Simone Montangero},

url = {https://doi.org/10.1016/j.cpc.2023.108782},

doi = {10.1016/j.cpc.2023.108782},

year  = {2023},

date = {2023-10-01},

journal = {Computer Physics Communications},

volume = {291},

pages = {108782},

publisher = {Elsevier BV},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{10.21468/SciPostPhys.14.1.005,

title = {Unsupervised and supervised learning of interacting topological phases from single-particle correlation functions},

author = {Simone Tibaldi and Giuseppe Magnifico and Davide Vodola and Elisa Ercolessi},

url = {https://scipost.org/10.21468/SciPostPhys.14.1.005},

doi = {10.21468/SciPostPhys.14.1.005},

year  = {2023},

date = {2023-01-01},

urldate = {2023-01-01},

journal = {SciPost Phys.},

volume = {14},

pages = {005},

publisher = {SciPost},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Jaschke2022a,

title = {Ab-initio two-dimensional digital twin for quantum computer benchmarking},

author = {Daniel Jaschke and Alice Pagano and Sebastian Weber and Simone Montangero},

url = {http://arxiv.org/abs/2210.03763},

year  = {2022},

date = {2022-10-07},

pages = {1–15},

abstract = {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 efficient and scalable strategies for tuning quantum algorithms for specific hardware. Via a two-dimensional tensor network digital twin of a Rydberg atom quantum computer, we demonstrate the feasibility of such a program. In particular, we quantify the effects of gate crosstalks induced by the van der Waals interaction between Rydberg atoms: according to an 8x8 digital twin simulation based on the current state-of-the-art experimental setups, the initial state of a five-qubit repetition code can be prepared with a high fidelity, a first indicator for a compatibility with fault-tolerant quantum computing. The preparation of a 64-qubit Greenberger-Horne-Zeilinger (GHZ) state with about 700 gates yields a 99.9% fidelity in a closed system while achieving a speedup of 35% via parallelization.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{PhysRevB.105.214201,

title = {Adaptive-weighted tree tensor networks for disordered quantum many-body systems},

author = {Giovanni Ferrari and Giuseppe Magnifico and Simone Montangero},

url = {https://link.aps.org/doi/10.1103/PhysRevB.105.214201},

doi = {10.1103/PhysRevB.105.214201},

year  = {2022},

date = {2022-06-01},

journal = {Phys. Rev. B},

volume = {105},

issue = {21},

pages = {214201},

publisher = {American Physical Society},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Ferrari2021a,

title = {Adaptive-weighted Tree Tensor Networks for disordered quantum many-body systems},

author = {Giovanni Ferrari and Giuseppe Magnifico and Simone Montangero},

url = {http://arxiv.org/abs/2111.12398},

year  = {2022},

date = {2022-06-06},

pages = {1–8},

abstract = {We introduce an adaptive-weighted Tree Tensor Network, for the study of disordered and inhomogeneous quantum many-body systems. This ansatz is assembled on the basis of the random couplings of the physical system with a procedure that considers a tunable weight parameter to prevent completely unbalanced trees. Using this approach, we compute the ground state of the two-dimensional quantum Ising model in the presence of quenched random disorder and frustration, with lattice size up to $32 textbackslashtimes 32$. We compare the results with the ones obtained using the standard homogeneous Tree Tensor Networks and the completely self-assembled Tree Tensor Networks, demonstrating a clear improvement of numerical precision as a function of the weight parameter, especially for large system sizes.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Arceci2020a,

title = {Entanglement of Formation of Mixed Many-Body Quantum States via Tree Tensor Operators},

author = {Luca Arceci and Pietro Silvi and Simone Montangero},

url = {http://arxiv.org/abs/2011.01247},

doi = {10.1103/PhysRevLett.128.040501},

issn = {0031-9007},

year  = {2022},

date = {2022-01-24},

volume = {128},

number = {4},

pages = {040501},

abstract = {We present a numerical strategy to efficiently estimate bipartite entanglement measures, and in particular the Entanglement of Formation, for many-body quantum systems on a lattice. Our approach introduces a novel tensor network ansatz $-$ the Tree Tensor Operator $-$ a positive, loopless representation for density matrices which efficiently encodes information on bipartite entanglement, enabling the up-scaling of entanglement estimation. Employing this technique, we observe a finite-size scaling law for the entanglement of formation in 1D critical lattice models at finite temperature, extending to mixed states the Calabrese-Cardy scaling law for the entanglement entropy.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Arceci2020,

title = {Entanglement of formation of mixed many-body quantum states via Tree Tensor Operators},

author = {Luca Arceci and Pietro Silvi and Simone Montangero},

url = {http://arxiv.org/abs/2011.01247},

year  = {2022},

date = {2022-01-24},

pages = {1–12},

abstract = {We present a numerical strategy to efficiently estimate bipartite entanglement measures, and in particular the Entanglement of Formation, for many-body quantum systems on a lattice. Our approach introduces a novel tensor network ansatz $-$ the Tree Tensor Operator $-$ a positive, loopless representation for density matrices which efficiently encodes information on bipartite entanglement, enabling the up-scaling of entanglement estimation. Employing this technique, we observe a finite-size scaling law for the entanglement of formation in 1D critical lattice models at finite temperature, extending to mixed states the Calabrese-Cardy scaling law for the entanglement entropy.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Pagano2022,

title = {Error budgeting for a controlled-phase gate with strontium-88 Rydberg atoms},

author = {Alice Pagano and Sebastian Weber and Daniel Jaschke and Tilman Pfau and Florian Meinert and Simone Montangero and Hans Peter Büchler},

url = {https://doi.org/10.1103/physrevresearch.4.033019},

doi = {10.1103/physrevresearch.4.033019},

year  = {2022},

date = {2022-07-01},

journal = {Physical Review Research},

volume = {4},

number = {3},

publisher = {American Physical Society (APS)},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Mastroserio2022,

title = {Experimental Realization of Optimal Time-Reversal on an Atom Chip for Quantum Undo Operations},

author = {Ivana Mastroserio and Stefano Gherardini and Cosimo Lovecchio and Tommaso Calarco and Simone Montangero and Francesco S. Cataliotti and Filippo Caruso},

url = {https://doi.org/10.1002/qute.202200057},

doi = {10.1002/qute.202200057},

year  = {2022},

date = {2022-10-01},

journal = {Advanced Quantum Technologies},

volume = {5},

number = {12},

publisher = {Wiley},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Gherardini2020,

title = {Information flow and error scaling for fully quantum control},

author = {Stefano Gherardini and Matthias M. Müller and Simone Montangero and Tommaso Calarco and Filippo Caruso},

url = {http://arxiv.org/abs/2012.06234},

doi = {10.1103/PhysRevResearch.4.023027},

issn = {2643-1564},

year  = {2022},

date = {2022-04-11},

volume = {4},

number = {2},

pages = {023027},

abstract = {The optimally designed control of quantum systems is playing an increasingly important role to engineer novel and more efficient quantum technologies. Here, in the scenario represented by controlling an arbitrary quantum system via the interaction with an another optimally initialized auxiliary quantum system, we show that the quantum channel capacity sets the scaling behaviour of the optimal control error. Specifically, we prove that the minimum control error is ensured by maximizing the quantum capacity of the channel mapping the initial control state into the target state of the controlled system, i.e., optimizing the quantum information flow from the controller to the system to be controlled. Analytical results, supported by numerical evidences, are provided when the systems and the controller are either qubits or single Bosonic modes and can be applied to a very large class of platforms for controllable quantum devices.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Marshall2022,

title = {Macroscopic hyperpolarization enhanced with quantum optimal control},

author = {Alastair Marshall and Thomas Reisser and Phila Rembold and Christoph Müller and Jochen Scheuer and Martin Gierse and Tim Eichhorn and Jakob M. Steiner and Patrick Hautle and Tommaso Calarco and Fedor Jelezko and Martin B. Plenio and Simone Montangero and Ilai Schwartz and Matthias M. Müller and Philipp Neumann},

url = {https://doi.org/10.1103/physrevresearch.4.043179},

doi = {10.1103/physrevresearch.4.043179},

year  = {2022},

date = {2022-12-01},

journal = {Physical Review Research},

volume = {4},

number = {4},

publisher = {American Physical Society (APS)},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Muller2021,

title = {One decade of quantum optimal control in the chopped random basis},

author = {Matthias M. Müller and Ressa S. Said and Fedor Jelezko and Tommaso Calarco and Simone Montangero},

url = {http://arxiv.org/abs/2104.07687},

doi = {10.1088/1361-6633/ac723c},

issn = {0034-4885},

year  = {2022},

date = {2022-07-01},

volume = {85},

number = {7},

pages = {076001},

abstract = {The chopped random basis (CRAB) ansatz for quantum optimal control has been proven to be a versatile tool to enable quantum technology applications such as quantum computing, quantum simulation, quantum sensing, and quantum communication. Its capability to encompass experimental constraints—while maintaining an access to the usually trap-free control landscape—and to switch from open-loop to closed-loop optimization (including with remote access—or RedCRAB) is contributing to the development of quantum technology on many different physical platforms. In this review article we present the development, the theoretical basis and the toolbox for this optimization algorithm, as well as an overview of the broad range of different theoretical and experimental applications that exploit this powerful technique.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{https://doi.org/10.48550/arxiv.2203.03364,

title = {Optimized state transfer in systems of ultrastrongly coupled matter and radiation},

author = {Luigi Giannelli and Jishnu Rajendran and Nicola Macrì and Giuliano Benenti and Simone Montangero and Elisabetta Paladino and Giuseppe Falci},

url = {https://arxiv.org/abs/2203.03364},

doi = {10.48550/ARXIV.2203.03364},

year  = {2022},

date = {2022-01-01},

publisher = {arXiv},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{PhysRevX.12.041035,

title = {Probing Phases of Quantum Matter with an Ion-Trap Tensor-Network Quantum Eigensolver},

author = {Michael Meth and Viacheslav Kuzmin and Rick Bijnen and Lukas Postler and Roman Stricker and Rainer Blatt and Martin Ringbauer and Thomas Monz and Pietro Silvi and Philipp Schindler},

url = {https://link.aps.org/doi/10.1103/PhysRevX.12.041035},

doi = {10.1103/PhysRevX.12.041035},

year  = {2022},

date = {2022-12-01},

journal = {Phys. Rev. X},

volume = {12},

issue = {4},

pages = {041035},

publisher = {American Physical Society},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Koch2022,

title = {Quantum optimal control in quantum technologies. Strategic report on current status, visions and goals for research in Europe},

author = {Christiane P. Koch and Ugo Boscain and Tommaso Calarco and Gunther Dirr and Stefan Filipp and Steffen J. Glaser and Ronnie Kosloff and Simone Montangero and Thomas Schulte-Herbrüggen and Dominique Sugny and Frank K. Wilhelm},

url = {http://arxiv.org/abs/2205.12110},

doi = {10.1140/epjqt/s40507-022-00138-x},

issn = {2662-4400},

year  = {2022},

date = {2022-12-20},

volume = {9},

number = {1},

pages = {19},

publisher = {Springer Science and Business Media LLC},

abstract = {Quantum optimal control, a toolbox for devising and implementing the shapes of external fields that accomplish given tasks in the operation of a quantum device in the best way possible, has evolved into one of the cornerstones for enabling quantum technologies. The last few years have seen a rapid evolution and expansion of the field. We review here recent progress in our understanding of the controllability of open quantum systems and in the development and application of quantum control techniques to quantum technologies. We also address key challenges and sketch a roadmap for future developments.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Oshnik2021,

title = {Robust magnetometry with single nitrogen-vacancy centers via two-step optimization},

author = {Nimba Oshnik and Phila Rembold and Tommaso Calarco and Simone Montangero and Elke Neu and Matthias M. Müller},

url = {http://arxiv.org/abs/2111.12684},

doi = {10.1103/PhysRevA.106.013107},

issn = {2469-9926},

year  = {2022},

date = {2022-07-11},

volume = {106},

number = {1},

pages = {013107},

abstract = {Shallow Nitrogen-Vacancy (NV) centers are promising candidates for high-precision sensing applications; these defects, when positioned a few nanometers below the surface, provide an atomic-scale resolution along with substantial sensitivity. However, the dangling bonds and impurities on the diamond surface result in a complex environment which reduces the sensitivity and is unique to each shallow NV center. To avoid the environment's detrimental effect, we apply feedback-based quantum optimal control. We first show how a direct search can improve the initialization/readout process. In a second step, we optimize microwave pulses for pulsed Optically Detected Magnetic Resonance (ODMR) and Ramsey measurements. Throughout the sensitivity optimizations, we focus on robustness against errors in the control field amplitude. This feature not only protects the protocols' sensitivity from drifts but also enlarges the sensing volume. The resulting ODMR measurements produce sensitivities below 1$textbackslashmu$Ttextbackslash,Hz$textasciicircum-textbackslashfrac12$ for an 83textbackslash% decrease in control power, increasing the robustness by approximately one third. The optimized Ramsey measurements produce sensitivities below 100textbackslash,nTtextbackslash,Hz$textasciicircum-textbackslashfrac12$ giving a two-fold sensitivity improvement. Being on par with typical sensitivities obtained via single NV magnetometry, the complementing robustness of the presented optimization strategy may provide an advantage for other NV-based applications.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{jamotte_strain_2022,

title = {Strain and pseudo-magnetic fields in optical lattices from density-assisted tunneling},

author = {Maxime Jamotte and Nathan Goldman and Marco Di_Liberto},

url = {https://www.nature.com/articles/s42005-022-00802-9},

doi = {10.1038/s42005-022-00802-9},

issn = {2399-3650},

year  = {2022},

date = {2022-01-01},

urldate = {2022-01-01},

journal = {Communications Physics},

volume = {5},

number = {1},

pages = {30},

abstract = {Abstract 

 Applying time-periodic modulations is routinely used to control and design synthetic matter in quantum-engineered settings. In lattice systems, this approach is explored to engineer band structures with non-trivial topological properties, but also to generate exotic interaction processes. A prime example is density-assisted tunneling, by which the hopping amplitude of a particle between neighboring sites explicitly depends on their respective occupations. Here, we show how density-assisted tunneling can be tailored in view of simulating the effects of strain in synthetic graphene-type systems. Specifically, we consider a mixture of two atomic species on a honeycomb optical lattice: one species forms a Bose-Einstein condensate in an anisotropic harmonic trap, whose inhomogeneous density profile induces an effective uniaxial strain for the second species through density-assisted tunneling processes. In direct analogy with strained graphene, the second species experiences a pseudo-magnetic field, hence exhibiting relativistic Landau levels and the valley Hall effect. Our proposed scheme introduces a unique platform for the investigation of strain-induced gauge fields, opening the door to future studies of their possible interplay with quantum fluctuations and collective excitations.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{di_liberto_topological_2022,

title = {Topological phonons in arrays of ultracold dipolar particles},

author = {Marco Di_Liberto and Andreas Kruckenhauser and Peter Zoller and Mikhail A. Baranov},

url = {http://arxiv.org/abs/2108.11856},

doi = {10.22331/q-2022-06-07-731},

issn = {2521-327X},

year  = {2022},

date = {2022-06-01},

urldate = {2022-06-01},

journal = {Quantum},

volume = {6},

pages = {731},

abstract = {The notion of topology in physical systems is associated with the existence of a nonlocal ordering that is insensitive to a large class of perturbations. This brings robustness to the behaviour of the system and can serve as a ground for developing new fault-tolerant applications. We discuss how to design and study a large variety of topology-related phenomena for phonon-like collective modes in arrays of ultracold polarized dipolar particles. These modes are coherently propagating vibrational excitations, corresponding to oscillations of particles around their equilibrium positions, which exist in the regime where long-range interactions dominate over single-particle motion. We demonstrate that such systems offer a distinct and versatile tool to investigate a wide range of topological effects in a single experimental setup with a chosen underlying crystal structure by simply controlling the anisotropy of the interactions via the orientation of the external polarizing field. Our results show that arrays of dipolar particles provide a promising unifying platform to investigate topological phenomena with phononic modes.},

note = {arXiv:2108.11856 [cond-mat, physics:quant-ph]},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{notarnicola_randomized_2021,

title = {A randomized measurement toolbox for Rydberg quantum technologies},

author = {Simone Notarnicola and Andreas Elben and Thierry Lahaye and Antoine Browaeys and Simone Montangero and Benoit Vermersch},

url = {http://arxiv.org/abs/2112.11046},

year  = {2021},

date = {2021-12-21},

pages = {1–9},

abstract = {We present a toolbox to probe quantum many-body states implemented on Rydberg-atoms quantum hardware via randomized measurements. We illustrate the efficacy of this measurement toolbox in the context of probing entanglement, via the estimation of the purity, and of verifying a ground-state preparation using measurements of the Hamiltonian variance. To achieve this goal, we develop and discuss in detail a protocol to realize independent, local unitary rotations. We benchmark the protocol by investigating the ground state of the one-dimensional SSH model, recently realized on a chain of Rydberg atom. We probe the robustness of our toolbox by taking into account experimental imperfections, such as pulse fluctuations and measurement errors.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Pizzamiglio2021,

title = {Dynamical localization simulated on actual quantum hardware},

author = {Andrea Pizzamiglio and Su Yeon Chang and Maria Bondani and Simone Montangero and Dario Gerace and Giuliano Benenti},

doi = {10.3390/e23060654},

issn = {10994300},

year  = {2021},

date = {2021-05-23},

volume = {23},

number = {6},

pages = {1–9},

abstract = {Quantum computers are invaluable tools to explore the properties of complex quantum systems. We show that dynamical localization of the quantum sawtooth map, a highly sensitive quantum coherent phenomenon, can be simulated on actual, small-scale quantum processors. Our results demonstrate that quantum computing of dynamical localization may become a convenient tool for evaluating advances in quantum hardware performances.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Hillberry2020,

title = {Entangled quantum cellular automata, physical complexity, and Goldilocks rules},

author = {Logan E. Hillberry and Matthew T. Jones and David L. Vargas and Patrick Rall and Nicole Yunger Halpern and Ning Bao and Simone Notarnicola and Simone Montangero and Lincoln D. Carr},

url = {http://arxiv.org/abs/2005.01763},

doi = {10.1088/2058-9565/ac1c41},

issn = {2058-9565},

year  = {2021},

date = {2021-10-01},

volume = {6},

number = {4},

pages = {045017},

abstract = {Cellular automata are interacting classical bits that display diverse behaviors, from fractals to random-number generators to Turing-complete computation. We introduce entangled quantum cellular automata subject to Goldilocks rules, tradeoffs of the kind underpinning biological, social, and economic complexity. Tweaking digital and analog quantum-computing protocols generates persistent entropy fluctuations; robust dynamical features, including an entangled breather; and network structure and dynamics consistent with complexity. Present-day quantum platforms—Rydberg arrays, trapped ions, and superconducting qubits—can implement Goldilocks protocols, which generate quantum many-body states with rich entanglement and structure. Moreover, the complexity studies reported here underscore an emerging idea in many-body quantum physics: some systems fall outside the integrable/chaotic dichotomy.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Rigobello2021,

title = {Entanglement generation in QED scattering processes},

author = {Marco Rigobello and Simone Notarnicola and Giuseppe Magnifico and Simone Montangero},

url = {http://arxiv.org/abs/2105.03445},

doi = {10.1103/PhysRevD.104.114501},

issn = {2470-0010},

year  = {2021},

date = {2021-12-06},

volume = {104},

number = {11},

pages = {114501},

abstract = {We study real-time meson-meson scattering processes in $(1+1)$-dimensional QED by means of Tensor Networks. We prepare initial meson wave packets with given momentum and position introducing an approximation based on the free fermions model. Then, we compute the dynamics of two initially separated colliding mesons, observing a rich phenomenology as the interaction strength and the initial states are varied in the weak and intermediate coupling regimes. Finally, we consider elastic collisions and measure some scattering amplitudes as well as the entanglement generated by the process. Remarkably, we identify two different regimes for the asymptotic entanglement between the outgoing mesons: it is perturbatively small below a threshold coupling, past which its growth as a function of the coupling abruptly accelerates.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Cataldi2021,

title = {Hilbert curve vs Hilbert space: exploiting fractal 2D covering to increase tensor network efficiency},

author = {Giovanni Cataldi and Ashkan Abedi and Giuseppe Magnifico and Simone Notarnicola and Nicola Dalla Pozza and Vittorio Giovannetti and Simone Montangero},

url = {http://arxiv.org/abs/2105.02239},

doi = {10.22331/q-2021-09-29-556},

issn = {2521-327X},

year  = {2021},

date = {2021-09-29},

volume = {5},

pages = {556},

abstract = {We present a novel mapping for studying 2D many-body quantum systems by solving an effective, one-dimensional long-range model in place of the original two-dimensional short-range one. In particular, we address the problem of choosing an efficient mapping from the 2D lattice to a 1D chain that optimally preserves the locality of interactions within the TN structure. By using Matrix Product States (MPS) and Tree Tensor Network (TTN) algorithms, we compute the ground state of the 2D quantum Ising model in transverse field with lattice size up to 64 × 64 , comparing the results obtained from different mappings based on two space-filling curves, the snake curve and the Hilbert curve. We show that the locality-preserving properties of the Hilbert curve leads to a clear improvement of numerical precision, especially for large sizes, and turns out to provide the best performances for the simulation of 2D lattice systems via 1D TN structures.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Magnifico2020,

title = {Lattice quantum electrodynamics in (3+1)-dimensions at finite density with tensor networks},

author = {Giuseppe Magnifico and Timo Felser and Pietro Silvi and Simone Montangero},

url = {http://arxiv.org/abs/2011.10658},

doi = {10.1038/s41467-021-23646-3},

issn = {2041-1723},

year  = {2021},

date = {2021-12-14},

volume = {12},

number = {1},

pages = {3600},

abstract = {Gauge theories are of paramount importance in our understanding of fundamental constituents of matter and their interactions. However, the complete characterization of their phase diagrams and the full understanding of non-perturbative effects are still debated, especially at finite charge density, mostly due to the sign-problem affecting Monte Carlo numerical simulations. Here, we report the Tensor Network simulation of a three dimensional lattice gauge theory in the Hamiltonian formulation including dynamical matter: Using this sign-problem-free method, we simulate the ground states of a compact Quantum Electrodynamics at zero and finite charge densities, and address fundamental questions such as the characterization of collective phases of the model, the presence of a confining phase at large gauge coupling, and the study of charge-screening effects.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{montangero_loop-free_2021,

title = {Loop-free tensor networks for high-energy physics},

author = {Simone Montangero and Enrique Rico and Pietro Silvi and Astronomia G Galilei and Simone Montangero},

year  = {2021},

date = {2021-09-24},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Marshall2021,

title = {Macroscopic Hyperpolarization Enhanced with Quantum Optimal Control},

author = {Alastair Marshall and Thomas Reisser and Phila Rembold and Christoph Müller and Jochen Scheuer and Martin Gierse and Tim Eichhorn and Jakob M. Steiner and Patrick Hautle and Tommaso Calarco and Fedor Jelezko and Martin B. Plenio and Simone Montangero and Ilai Schwartz and Matthias M. Müller and Philipp Neumann},

url = {http://arxiv.org/abs/2112.15021},

year  = {2021},

date = {2021-12-30},

pages = {1–15},

abstract = {Hyperpolarization of nuclear spins enhances nuclear magnetic resonance signals, which play a key role for imaging and spectroscopy in the natural and life sciences. This signal amplification unlocks previously inaccessible techniques, such as metabolic imaging of cancer cells. In this work, electron spins from the photoexcited triplet state of pentacene-doped naphthalene crystals are used to polarize surrounding protons. As existing strategies are rendered less effective by experimental constraints, they are replaced with optimal control pulses designed with RedCRAB. In contrast to previous optimal control approaches, which consider an average single nucleus, this closed-loop optimization is macroscopic. A 28% improvement in signal and 15% faster polarization rate is observed. Additionally, a strategy called Autonomously-optimized Repeated Linear Sweep (ARISE) is introduced to efficiently tailor existing hyperpolarization sequences in the presence of experimental uncertainty to enhance their performance. ARISE is expected to be broadly applicable in many experimental settings.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Collura2019,

title = {On the descriptive power of Neural-Networks as constrained Tensor Networks with exponentially large bond dimension},

author = {Mario Collura and Luca DellÁnna and Timo Felser and Simone Montangero},

url = {http://arxiv.org/abs/1905.11351},

doi = {10.21468/SciPostPhysCore.4.1.001},

issn = {2666-9366},

year  = {2021},

date = {2021-02-02},

volume = {4},

number = {1},

pages = {001},

abstract = {In many cases, neural networks can be mapped into tensor networks with an exponentially large bond dimension. Here, we compare different sub-classes of neural network states, with their mapped tensor network counterpart for studying the ground state of short-range Hamiltonians. We show that when mapping a neural network, the resulting tensor network is highly constrained and thus the neural network states do in general not deliver the naive expected drastic improvement against the state-of-the-art tensor network methods. We explicitly show this result in two paradigmatic examples, the 1D ferromagnetic Ising model and the 2D antiferromagnetic Heisenberg model, addressing the lack of a detailed comparison of the expressiveness of these increasingly popular, variational ansätze.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Zuliani2021a,

title = {Quantum-inspired machine learning on high-energy physics data},

author = {Timo Felser and Marco Trenti and Lorenzo Sestini and Alessio Gianelle and Davide Zuliani and Donatella Lucchesi and Simone Montangero},

url = {http://dx.doi.org/10.1038/s41534-021-00443-w},

doi = {10.1038/s41534-021-00443-w},

issn = {2056-6387},

year  = {2021},

date = {2021-12-15},

volume = {7},

number = {1},

pages = {111},

abstract = {Tensor Networks, a numerical tool originally designed for simulating quantum many-body systems, have recently been applied to solve Machine Learning problems. Exploiting a tree tensor network, we apply a quantum-inspired machine learning technique to a very important and challenging big data problem in high-energy physics: the analysis and classification of data produced by the Large Hadron Collider at CERN. In particular, we present how to effectively classify so-called b-jets, jets originating from b-quarks from proton–proton collisions in the LHCb experiment, and how to interpret the classification results. We exploit the Tensor Network approach to select important features and adapt the network geometry based on information acquired in the learning process. Finally, we show how to adapt the tree tensor network to achieve optimal precision or fast response in time without the need of repeating the learning process. These results pave the way to the implementation of high-frequency real-time applications, a key ingredient needed among others for current and future LHCb event classification able to trigger events at the tens of MHz scale.},

note = {Publisher: Sissa Medialab 

Place: Trieste, Italy},

keywords = {},

pubstate = {published},

tppubtype = {article}

}