8 papers
An efficient algorithm for approximate shadow Hamiltonian simulation
Abhijit Chakraborty, Bharath Sambasivam, Karunya Shirali +4
The paper introduces an algorithm that approximates real-time quantum dynamics by pruning the operator algebra of a shadow Hamiltonian, reducing the required qubit resources for si…
Quantum simulation of molecular excited-state manifolds and energies using the TEPID-ADAPT-VQE algorithm
Jason Saroni, Bharath Sambasivam, Ayush Asthana +1
The simulation of molecular excited states is a key challenge in quantum chemistry and a promising application for quantum computing. In this work, we investigate the efficacy of t…
Ground state preparation of random all-to-all Hamiltonians using ADAPT-VQE
Sabhyata Gupta, Bharath Sambasivam, Sophia E. Economou +3
The ground state of random Hamiltonians with all-to-all interactions such as the quantum Sherrington-Kirkpatrick (SK) model and the Sachdev-Ye-Kitaev (SYK) model follow volume-law…
Continuous-variable ADAPT-VQE for bosonic lattice models
Dimitrios Athanasakos, Gloria Tejedor-GarcÃa, Jack Y. Araz +4
We present a continuous-variable adaptive variational quantum eigensolver (CV-ADAPT-VQE). As concrete examples, we consider the ground-state preparation for (i) the Bose-Hubbard mo…
TIMES-ADAPT: A Quantum algorithm for real-time evolution in low-energy subspaces using fixed-depth circuits
Bharath Sambasivam, Kyle Sherbert, Karunya Shirali +3
We propose a new variational quantum algorithm, which we refer to as TIMES-ADAPT, that prepares time-evolved states in a low-energy or symmetric subspace of a time-independent Hami…
Strategies for Overcoming Gradient Troughs in the ADAPT-VQE Algorithm
Jonas Stadelmann, Julian Ãbelher, Mafalda Ramôa +3
The adaptive derivative-assembled problem-tailored variational quantum eigensolver (ADAPT-VQE) provides a promising approach for simulating highly correlated quantum systems on qua…