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quant-ph2026

Coordinate space representation for quantum simulation of scalar field theory

Gaetan Bardy, Matthieu Saubanere, Adrian Tanasa

Quantum computing provides a promising framework for the simulation of quantum field theories, where the computational cost depends both on the quantum algorithm employed and on th…

quant-ph2026

Orthogonal Quantum Krylov Diagonalisation

Hadi Rammal, Alexandre Perrin, Oumaya Ladhari +3

Quantum subspace-diagonalization methods, particularly Quantum Krylov Diagonalization (QKD), provide a promising route for computing low-energy spectra of quantum many-body Hamilto…

quant-ph2026

A 0.651-approximation to quantum Max Cut via Rydberg atoms

Tomás Crosta, Matthieu Saubanere, Felix Huber

Quantum Max Cut, also known as the anti-ferromagnetic Heisenberg Hamiltonian, is a QMA-complete problem which serves as a benchmark for approximation algorithms in quantum physics.…

quant-ph2025

Variational Quantum Subspace Construction via Symmetry-Preserving Cost Functions

Hamzat A. Akande, Alexandre Perrin, Bruno Senjean +1

Determining low-energy eigenstates in electronic many-body quantum systems is a key challenge in computational chemistry and condensed-matter physics. Hybrid quantum-classical appr…

quant-ph2024

Variational minimization scheme for the one-particle reduced density matrix functional theory in the ensemble N-representability domain

Matthieu Vladaj, Quentin Marécat, Bruno Senjean +1

The one-particle reduced density-matrix (1-RDM) functional theory is a promising alternative to density-functional theory (DFT) that uses the 1-RDM rather than the electronic densi…