Quantum computing has demonstrated the potential to revolutionize our understanding of nuclear, atomic, and molecular structure by obtaining forefront solutions in non-relativistic quantum many-body theory. In this work, we show that quantum computing can be used to solve for the structure of hadrons, governed by strongly-interacting relativistic quantum field theory. Following our previous work on light unflavored mesons as a relativistic bound-state problem within the nonperturbative Hamiltonian formalism, we present the numerical calculations on simulated quantum devices using the basis light-front quantization (BLFQ) approach. We implement and compare the variational quantum eigensolver (VQE) and the subspace-search variational quantum ...
We provide a noisy intermediate-scale quantum framework for simulating the dynamics of open quantum ...
The variational quantum eigensolver (VQE) is an algorithm to compute ground and excited state energy...
Quantum subspace diagonalization (QSD) methods are quantum-classical hybrid methods, commonly used t...
We investigate the possibility to calculate the ground-state energy of the atomic systems on a quant...
Model calculations of nuclear properties are peformed using quantum computing algorithms on simulate...
The utility of effective model spaces in quantum simulations of non-relativistic quantum many-body s...
We present a systematic quantum algorithm, which integrates both the hadronic state preparation and ...
Variational quantum algorithms aim at harnessing the power of noisy intermediate-scale quantum compu...
Quantum computing opens up new possibilities for the simulation of many-body nuclear systems. As the...
We explore the preparation of specific nuclear states on gate-based quantum hardware using variation...
Light-front wave functions play a fundamental role in the light-front quantization approach to QCD a...
Solving electronic structure problems represents a promising field of application for quantum comput...
Conventional computers are invaluable tools for analysing and predicting the behaviour of the world ...
Quantum Phase Estimation is one of the most useful quantum computing algorithms for quantum chemistr...
Simulating electronic structure on a quantum computer requires encoding of fermionic systems onto qu...
We provide a noisy intermediate-scale quantum framework for simulating the dynamics of open quantum ...
The variational quantum eigensolver (VQE) is an algorithm to compute ground and excited state energy...
Quantum subspace diagonalization (QSD) methods are quantum-classical hybrid methods, commonly used t...
We investigate the possibility to calculate the ground-state energy of the atomic systems on a quant...
Model calculations of nuclear properties are peformed using quantum computing algorithms on simulate...
The utility of effective model spaces in quantum simulations of non-relativistic quantum many-body s...
We present a systematic quantum algorithm, which integrates both the hadronic state preparation and ...
Variational quantum algorithms aim at harnessing the power of noisy intermediate-scale quantum compu...
Quantum computing opens up new possibilities for the simulation of many-body nuclear systems. As the...
We explore the preparation of specific nuclear states on gate-based quantum hardware using variation...
Light-front wave functions play a fundamental role in the light-front quantization approach to QCD a...
Solving electronic structure problems represents a promising field of application for quantum comput...
Conventional computers are invaluable tools for analysing and predicting the behaviour of the world ...
Quantum Phase Estimation is one of the most useful quantum computing algorithms for quantum chemistr...
Simulating electronic structure on a quantum computer requires encoding of fermionic systems onto qu...
We provide a noisy intermediate-scale quantum framework for simulating the dynamics of open quantum ...
The variational quantum eigensolver (VQE) is an algorithm to compute ground and excited state energy...
Quantum subspace diagonalization (QSD) methods are quantum-classical hybrid methods, commonly used t...