32 citations · 49 across the 7 of their papers we have counts for
8 papers
Formulating Multistage Cutting Stock Problems as QUBO
Marcel Seelbach Benkner, Chiara Capecci, Sebastian Nagies +6
Cutting stock problems are of large relevance to a variety of industry branches. Here, we present a linear programming formulation for a restricted version of the multistage 2D cut…
Quantum resources in non-stoquastic quantum annealing
Chiara Capecci, Sebastian Nagies, Naga Dileep Varikuti +1
Quantum annealing promises to solve combinatorial optimization problems by preparing the ground state of a target Hamiltonian. Standard annealing protocols are, however, stoquastic…
Practical Noise Mitigation for Quantum Annealing via Dynamical Decoupling: Toward Industry-Relevant Optimization using Trapped Ions
Sebastian Nagies, Chiara Capecci, Marcel Seelbach Benkner +6
Quantum annealing is a framework for solving combinatorial optimization problems. While it offers a promising path towards a practical application of quantum hardware, its performa…
Role of Nonstabilizerness in Quantum Optimization
Chiara Capecci, Gopal Chandra Santra, Alberto Bottarelli +2
Quantum optimization has emerged as a promising approach for tackling complicated classical optimization problems using quantum devices. However, the extent to which such algorithm…
Natural orbitals and sparsity of quantum mutual information
Leonardo Ratini, Chiara Capecci, Leonardo Guidoni
Natural orbitals, defined in electronic structure and quantum chemistry as the (molecular) orbitals diagonalizing the one-particle reduced density matrix of the ground state, have…
Optimization strategies in WAHTOR algorithm for quantum computing empirical ansatz: a comparative study
Leonardo Ratini, Chiara Capecci, Leonardo Guidoni
By exploiting the invariance of the molecular Hamiltonian by a unitary transformation of the orbitals it is possible to significantly shorter the depth of the variational circuit i…
Pulse variational quantum eigensolver on cross-resonance based hardware
Daniel J. Egger, Chiara Capecci, Bibek Pokharel +4
State-of-the-art noisy digital quantum computers can only execute short-depth quantum circuits. Variational algorithms are a promising route to unlock the potential of noisy quantu…
Improved accuracy on noisy devices by non-unitary Variational Quantum Eigensolver for chemistry applications
Francesco Benfenati, Guglielmo Mazzola, Chiara Capecci +4
We propose a modification of the Variational Quantum Eigensolver algorithm for electronic structure optimization using quantum computers, named non-unitary Variational Quantum Eige…