49 citations · 55 across the 6 of their papers we have counts for
7 papers
Quasiparticle pairing encoding of atomic nuclei for quantum annealing
Emanuele Costa, Axel Pérez-Obiol, Javier Menéndez +3
Quantum computing is emerging as a promising tool in nuclear physics. However, the cost of encoding fermionic operators hampers the application of algorithms in current noisy quant…
Comparison of variational quantum eigensolvers in light nuclei
Miquel Carrasco-Codina, Emanuele Costa, Antonio Márquez Romero +2
Quantum computing is one of the most promising technologies of the near future, and the simulation of quantum many-body systems is a natural application. In this work, we present c…
A Quantum Annealing Protocol to Solve the Nuclear Shell Model
Emanuele Costa, Axel Perez-Obiol, Javier Menendez +3
The nuclear shell model accurately describes the structure and dynamics of atomic nuclei. However, the exponential scaling of the basis size with the number of degrees of freedom h…
Entropy-driven entanglement forging
Axel Pérez-Obiol, Sergi Masot-Llima, Antonio M. Romero +4
Simulating physical systems with variational quantum algorithms is a well-studied approach, but it is challenging to implement in current devices due to demands in qubit number and…
Shell-model study of Si: coexistence of oblate, prolate and superdeformed shapes
Dorian Frycz, Javier Menéndez, Arnau Rios +3
We study the shape coexistence in the nucleus Si with the nuclear shell model using numerical diagonalizations complemented with variational calculations based on the projec…
Shape coexistence and superdeformation in Si
D. Frycz, J. Menéndez, A. Rios +1
We study the shape coexistence of differently deformed states within Si using shell-model and beyond-mean-field techniques. Experimentally, Si exhibits shape coexiste…
Nuclear shell-model simulation in digital quantum computers
A. Pérez-Obiol, A. M. Romero, J. Menéndez +3
The nuclear shell model is one of the prime many-body methods to study the structure of atomic nuclei, but it is hampered by an exponential scaling on the basis size as the number…