From the 1 of 6 linked papers with an AI index.
6 papers
Reshaping quantum annealing landscapes with diagonal catalysts
Andrés N. Cáliz, Carlos Ramon-Escandell, Finnley Paolella +4
The paper introduces a framework linking energy to Hamming distance in optimization problems and proposes diagonal ZZ-catalysts derived from small frustration‑free subproblems to r…
Do quantum linear solvers offer advantage for networks-based system of linear equations?
Disha Shetty, Supriyo Dutta, Palak Chawla +5
In this exploratory numerical study, we assess the suitability of Quantum Linear Solvers(QLSs)toward providing a quantum advantage for Networks-based Linear System Problems (NLSPs)…
Quantum annealing eigensolver as a NISQ era tool for probing strong correlation effects in quantum chemistry
Aashna Anil Zade, Kenji Sugisaki, Matthias Werner +6
The quantum-classical hybrid variational quantum eigensolver (VQE) algorithm is arguably the most popular noisy intermediate-scale quantum (NISQ) era approach to quantum chemistry.…
Trapped ion quantum hardware demonstration of energy calculations using a multireference unitary coupled cluster ansatz: application to the BeH2 insertion problem
Palak Chawla, Disha Shetty, Peniel Bertrand Tsemo +5
In this study, we employ the variational quantum eigensolver algorithm with a multireference unitary coupled cluster ansatz to report the ground state energy of the BeH2 molecule i…
Reinforcement Learning Based Quantum Circuit Optimization via ZX-Calculus
Jordi Riu, Jan Nogué, Gerard Vilaplana +2
We propose a novel Reinforcement Learning (RL) method for optimizing quantum circuits using graph-theoretic simplification rules of ZX-diagrams. The agent, trained using the Proxim…
Relativistic VQE calculations of molecular electric dipole moments on trapped ion quantum hardware
Palak Chawla, Shweta, K. R. Swain +9
The quantum-classical hybrid variational quantum eigensolver (VQE) algorithm is among the most actively studied topics in atomic and molecular calculations on quantum computers, ye…