We explore the preparation of specific nuclear states on gate-based quantum hardware using variational algorithms. Large scale classical diagonalization of the nuclear shell model have reached sizes of $10^9 - 10^{10}$ basis states, but are still severely limited by computational resources. Quantum computing can, in principle, solve such systems exactly with exponentially fewer resources than classical computing. Exact solutions for large systems require many qubits and large gate depth, but variational approaches can effectively limit the required gate depth. We use the unitary coupled cluster approach to construct approximations of the ground-state vectors, later to be used in dynamics calculations. The testing ground is the phenomenolo...
We propose a variational quantum eigensolver (VQE) for the simulation of strongly-correlated quantum...
Treballs Finals de Grau de Física, Facultat de Física, Universitat de Barcelona, Curs: 2023, Tutors:...
Nuclear physics can greatly advance by taking advantage of quantum computing. Quantum computing can ...
Quantum computing opens up new possibilities for the simulation of many-body nuclear systems. As the...
Model calculations of nuclear properties are peformed using quantum computing algorithms on simulate...
We use the Lipkin-Meshkov-Glick (LMG) model and the valence-space nuclear shell model to examine the...
Variational quantum algorithms aim at harnessing the power of noisy intermediate-scale quantum compu...
We present a variational Monte Carlo method that solves the nuclear many-body problem in the occupat...
Abstract The nuclear shell model is one of the prime many-body methods to study the structure of ato...
The utility of effective model spaces in quantum simulations of non-relativistic quantum many-body s...
We investigate the possibility to calculate the ground-state energy of the atomic systems on a quant...
We propose a nonvariational scheme for geometry optimization of molecules for the first-quantized ei...
We present a quantum-classical hybrid algorithm for calculating the ground state and its energy of t...
Rapid developments of quantum information technology show promising opportunities for simulating qua...
The variational quantum eigensolver (VQE) is an algorithm to compute ground and excited state energy...
We propose a variational quantum eigensolver (VQE) for the simulation of strongly-correlated quantum...
Treballs Finals de Grau de Física, Facultat de Física, Universitat de Barcelona, Curs: 2023, Tutors:...
Nuclear physics can greatly advance by taking advantage of quantum computing. Quantum computing can ...
Quantum computing opens up new possibilities for the simulation of many-body nuclear systems. As the...
Model calculations of nuclear properties are peformed using quantum computing algorithms on simulate...
We use the Lipkin-Meshkov-Glick (LMG) model and the valence-space nuclear shell model to examine the...
Variational quantum algorithms aim at harnessing the power of noisy intermediate-scale quantum compu...
We present a variational Monte Carlo method that solves the nuclear many-body problem in the occupat...
Abstract The nuclear shell model is one of the prime many-body methods to study the structure of ato...
The utility of effective model spaces in quantum simulations of non-relativistic quantum many-body s...
We investigate the possibility to calculate the ground-state energy of the atomic systems on a quant...
We propose a nonvariational scheme for geometry optimization of molecules for the first-quantized ei...
We present a quantum-classical hybrid algorithm for calculating the ground state and its energy of t...
Rapid developments of quantum information technology show promising opportunities for simulating qua...
The variational quantum eigensolver (VQE) is an algorithm to compute ground and excited state energy...
We propose a variational quantum eigensolver (VQE) for the simulation of strongly-correlated quantum...
Treballs Finals de Grau de Física, Facultat de Física, Universitat de Barcelona, Curs: 2023, Tutors:...
Nuclear physics can greatly advance by taking advantage of quantum computing. Quantum computing can ...