3 citations · 7 across the 18 of their papers we have counts for
20 papers
SIESTA-QCOMP: Bridging Classical and Quantum Computing for Strongly Correlated Systems
Yann Pouillon, Federico Marchesin, Ivano Tavernelli +1
Density Functional Theory (DFT) is the established workhorse of computational materials science, yet it faces fundamental challenges with strongly correlated electrons, such as in…
Dynamic Induction of Lattice Gauge Theories on a Quantum Computer
Barbara Andrade, Declan Millar, Lewis Anderson +5
Gauge invariance is central to modern physics and underpins quantum simulations of lattice gauge theories (LGTs). Existing quantum simulation approaches employ Gauss's law either t…
String dynamics of a (2+1)D U(1) quantum link model on a digital quantum computer
Anthony Gandon, Alessandro Mariani, Debasish Banerjee +5
The (2+1)D U(1) pure gauge theory always exists in the confining phase, with strings of non-zero string tension giving a characteristic linear potential between static charges. Thi…
Combining non-parametric quantum states and MERA tensor networks for ground-state optimization
Julian Schuhmacher, Alberto Baiardi, Francesco Tacchino +1
Hybrid tensor networks offer a promising route to enhance the expressivity of classical tensor network methods by incorporating quantum states prepared on a quantum computer. Exist…
On-surface synthesis and aromaticity of large cyclocarbons
Lisanne Sellies, Marco Vitek, Yueze Gao +12
Molecular rings of N carbon atoms, that is, cyclo[N]carbons, or C, can be formed by tip-induced chemistry [1-7]. Because of their monocyclic geometry, cyclocarbons are fundamen…
Exploring pathways towards quantum advantage in quantum chemistry: the case of a molecule with half-Möbius topology
Samuele Piccinelli, Stefano Barison, Alberto Baiardi +8
We report quantum chemistry calculations performed on superconducting quantum processors for a molecule exhibiting the half-Möbius electronic topology originally introduced by Ronč…
Stabilizer-based quantum simulation of fermion dynamics with local qubit encodings
Anthony Gandon, Samuele Piccinelli, Max Rossmannek +4
Simulating the dynamical properties of large-scale many-fermion systems is a longstanding goal of quantum chemistry, material science and condensed matter. Local fermion-to-qubit e…
Learning Reduced Representations for Quantum Classifiers
Patrick Odagiu, Vasilis Belis, Lennart Schulze +6
Data sets that are specified by a large number of features are currently outside the area of applicability for quantum machine learning algorithms. An immediate solution to this im…
Optimizing two-dimensional isometric tensor networks with quantum computers
Sebastian Leontica, Alberto Baiardi, Julian Schuhmacher +2
We propose a hybrid quantum-classical algorithm for approximating the ground state of two-dimensional quantum systems using an isometric tensor network ansatz, which maps naturally…
Large-scale implementation of quantum subspace expansion with classical shadows
Laurin E. Fischer, Daniel Bultrini, Ivano Tavernelli +1
Quantum subspace expansion (QSE) offers promising avenues to perform spectral calculations on quantum processors but comes with a large measurement overhead. Informationally comple…
Neutrino thermalization via randomization on a quantum processor
Oriel Kiss, Ivano Tavernelli, Francesco Tacchino +2
The dynamical evolution of neutrino flavor in supernovae can be modeled by an all-to-all spin Hamiltonian with random couplings. Simulating such two-local Hamiltonian dynamics rema…
Hardware-efficient formulation of molecular cavity-QED Hamiltonians
Francesco Troisi, Simone Latini, Heiko Appel +3
Light-matter coupled Hamiltonians are central to cavity materials engineering and polaritonic chemistry, but are challenging to simulate with classical hardware due to the scaling…
Quantum chemistry with provable convergence via randomized sample-based Krylov quantum diagonalization
Samuele Piccinelli, Alberto Baiardi, Stefano Barison +12
Quantum algorithms based on classical processing of individual samples have recently emerged as a promising route to perform large-scale quantum-chemical calculations on pre-fault-…
Resource-Efficient Simulations of Particle Scattering on a Digital Quantum Computer
Yahui Chai, Joe Gibbs, Vincent R. Pascuzzi +4
We develop and demonstrate methods for simulating the scattering of particle wave packets in the interacting Thirring model on digital quantum computers, with hardware implementati…
Approximate quantum circuit compilation for proton-transfer kinetics on quantum processors
Arseny Kovyrshin, Dilhan Manawadu, Edoardo Altamura +15
Proton transfer reactions are fundamental to many chemical and biological systems, where quantum effects such as tunneling, delocalization, and zero-point motion play key kinetic c…
Encoding molecular structures in quantum machine learning
Choy Boy, Edoardo Altamura, Dilhan Manawadu +3
Quantum machine learning (QML) has great potential for the analysis of chemical datasets. However, conventional quantum data-encoding schemes, such as fingerprint encoding, are gen…
A molecule with half-Möbius topology
Igor Roncevic, Fabian Paschke, Yueze Gao +10
Stereoisomers of CCl exhibiting helical orbitals around a ring of carbon atoms were synthesized by atom manipulation on NaCl surfaces. We resolved the enantiomeric geome…
Observation of hadron scattering in a lattice gauge theory on a quantum computer
Julian Schuhmacher, Guo-Xian Su, Jesse J. Osborne +3
Scattering experiments are at the heart of high-energy physics (HEP), breaking matter down to its fundamental constituents, probing its formation, and providing deep insight into t…
A circuit-differentiation framework for Green's functions on quantum computers
Samuele Piccinelli, Francesco Tacchino, Ivano Tavernelli +1
We propose a general framework for computing Retarded Green's Functions (RGFs) on quantum computers by recasting their evaluation as a problem of circuit differentiation. Our propo…
Quantum computing in spin-adapted representations for efficient simulations of spin systems
Anthony Gandon, Alberto Baiardi, Max Rossmannek +2
Exploiting inherent symmetries is a common and effective approach to speed up the simulation of quantum systems. However, efficiently accounting for non-Abelian symmetries, such as…