Zobrazeno 1 - 10
of 633
pro vyhledávání: '"Tavernelli, Ivano"'
Autor:
Fischer, Laurin E., Leahy, Matea, Eddins, Andrew, Keenan, Nathan, Ferracin, Davide, Rossi, Matteo A. C., Kim, Youngseok, He, Andre, Pietracaprina, Francesca, Sokolov, Boris, Dooley, Shane, Zimborás, Zoltán, Tacchino, Francesco, Maniscalco, Sabrina, Goold, John, García-Pérez, Guillermo, Tavernelli, Ivano, Kandala, Abhinav, Filippov, Sergey N.
Quantum circuits with local unitaries have emerged as a rich playground for the exploration of many-body quantum dynamics of discrete-time systems. While the intrinsic locality makes them particularly suited to run on current quantum processors, the
Externí odkaz:
http://arxiv.org/abs/2411.00765
We investigate the performance and accuracy of digital quantum algorithms for the study of static and dynamic properties of the fermionic Hubbard model at half-filling with next-nearest neighbour hopping terms. We provide quantum circuits to perform
Externí odkaz:
http://arxiv.org/abs/2410.07789
Autor:
Schiavello, Francesca, Altamura, Edoardo, Tavernelli, Ivano, Mensa, Stefano, Symons, Benjamin
Our research combines an Evolutionary Algorithm (EA) with a Quantum Approximate Optimization Algorithm (QAOA) to update the ansatz parameters, in place of traditional gradient-based methods, and benchmark on the Max-Cut problem. We demonstrate that o
Externí odkaz:
http://arxiv.org/abs/2409.10739
We developed a general framework for hybrid quantum-classical computing of molecular and periodic embedding approaches based on an orbital space separation of the fragment and environment degrees of freedom. We demonstrate its potential by presenting
Externí odkaz:
http://arxiv.org/abs/2404.18737
Autor:
Selisko, Johannes, Amsler, Maximilian, Wever, Christopher, Kawashima, Yukio, Samsonidze, Georgy, Haq, Rukhsan Ul, Tacchino, Francesco, Tavernelli, Ivano, Eckl, Thomas
Quantum computers (QC) could harbor the potential to significantly advance materials simulations, particularly at the atomistic scale involving strongly correlated fermionic systems where an accurate description of quantum many-body effects scales un
Externí odkaz:
http://arxiv.org/abs/2404.09527
The real-time simulation of large many-body quantum systems is a formidable task, that may only be achievable with a genuine quantum computational platform. Currently, quantum hardware with a number of qubits sufficient to make classical emulation ch
Externí odkaz:
http://arxiv.org/abs/2404.08053
Autor:
Schuhmacher, Julian, Ballarin, Marco, Baiardi, Alberto, Magnifico, Giuseppe, Tacchino, Francesco, Montangero, Simone, Tavernelli, Ivano
Hybrid Tensor Networks (hTN) offer a promising solution for encoding variational quantum states beyond the capabilities of efficient classical methods or noisy quantum computers alone. However, their practical usefulness and many operational aspects
Externí odkaz:
http://arxiv.org/abs/2404.05784
We introduce a novel computational framework for excited-states molecular quantum dynamics simulations driven by quantum computing-based electronic-structure calculations. This framework leverages the fewest-switches surface-hopping method for simula
Externí odkaz:
http://arxiv.org/abs/2402.15371
Autor:
Mariella, Nicola, Akhriev, Albert, Tacchino, Francesco, Zoufal, Christa, Gonzalez-Espitia, Juan Carlos, Harsanyi, Benedek, Koskin, Eugene, Tavernelli, Ivano, Woerner, Stefan, Rapsomaniki, Marianna, Zhuk, Sergiy, Born, Jannis
Publikováno v:
PMLR 235:34822-34845, 2024
Optimal Transport (OT) has fueled machine learning (ML) across many domains. When paired data measurements $(\boldsymbol{\mu}, \boldsymbol{\nu})$ are coupled to covariates, a challenging conditional distribution learning setting arises. Existing appr
Externí odkaz:
http://arxiv.org/abs/2402.14991
Publikováno v:
Physical Review A 109.6 (2024): 062415
Randomized measurement protocols such as classical shadows represent powerful resources for quantum technologies, with applications ranging from quantum state characterization and process tomography to machine learning and error mitigation. Recently,
Externí odkaz:
http://arxiv.org/abs/2401.18071