3 citations · 5 across the 13 of their papers we have counts for
13 papers
Computing noise-canceling observables via Pauli propagation
Andrew Eddins, Caleb Johnson, Alberto Baiardi +8
The pursuit of quantum advantage is driving the co-evolution of quantum processors and classical simulation methods. Despite advances in scale and quality, the accuracy of quantum…
Setting angles in quantum approximate optimization at utility-scale
Maosheng Guo, Joel Jurado Diaz, Anurag Ramesh +16
The quantum approximate optimization algorithm (QAOA) is a powerful heuristic that seeks to solve combinatorial optimization problems using quantum hardware and classical optimizat…
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…
Bowtie VarQTE: A Resource-Efficient Quantum State Preparation Primitive
Marc Drudis, Alberto Baiardi, Mattia Chiurco +3
The preparation of quantum states is a fundamental requirement for many quantum algorithms. A native route to preparing physically structured states is based on short-time simulati…
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…
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…
Renormalization-group-based preparation of matrix product states on up to 80 qubits
Moritz Scheer, Alberto Baiardi, Elisa Bäumer Marty +2
A key challenge for quantum computers is the efficient preparation of many-body entangled states across many qubits. In this work, we demonstrate the preparation of matrix product…
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-…
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…
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…
Approximate Quadratization of High-Order Hamiltonians for Combinatorial Quantum Optimization
Sabina Drăgoi, Alberto Baiardi, Daniel J. Egger
Combinatorial optimization problems have wide-ranging applications in industry and academia. Quantum computers may help solve them by sampling from carefully prepared Ansatz quantu…