45 citations · 107 across the 15 of their papers we have counts for
12 papers · 1 filter
Post-Optimization Subspace Corrections to Quantum Ansätze
Prince Frederick Kwao, Bharath Sambasivam, Jason Saroni +3
Circuit depth and measurement count are the main limitations for chemical applications of the leading variational quantum algorithms on quantum computers. We show that both resourc…
A Case Study on Noise Resilient Operator Selection in Adaptive Variational Quantum Algorithms
Soorya Haravu, Mafalda Ramôa, Bharath Sambasivam
Hardware noise has been shown to significantly impact the accuracy of ADAPT-VQE, a ground state preparation algorithm. While previous work has studied the impact of noise on its pa…
An efficient algorithm for approximate shadow Hamiltonian simulation
Abhijit Chakraborty, Bharath Sambasivam, Karunya Shirali +4
We propose an efficient algorithm based on shadow Hamiltonian simulation to approximately simulate the real-time dynamics of observables under time-independent Hamiltonians. Shadow…
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-García, 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 Übelher, 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…
TEPID-ADAPT: Adaptive variational method for simultaneous preparation of low-temperature Gibbs and low-lying eigenstates
Bharath Sambasivam, Kyle Sherbert, Karunya Shirali +4
Preparing Gibbs states, which describe systems in equilibrium at finite temperature, is of great importance, particularly at low temperatures. In this work, we propose a new method…
Thermal state preparation of the SYK model using a variational quantum algorithm
Jack Y. Araz, Raghav G. Jha, Felix Ringer +1
We study the preparation of thermal states of the dense and sparse Sachdev-Ye-Kitaev (SYK) model using a variational quantum algorithm for Majorana fermions over a…
Quantum Simulation of an Open System: A Dissipative 1+1D Ising Model
Erik Gustafson, Michael Hite, Jay Hubisz +2
The 1+1D Ising model is an ideal benchmark for quantum algorithms, as it is very well understood theoretically. This is true even when expanding the model to include complex coupli…
Sachdev-Ye-Kitaev model on a noisy quantum computer
Muhammad Asaduzzaman, Raghav G. Jha, Bharath Sambasivam
We study the SYK model -- an important toy model for quantum gravity on IBM's superconducting qubit quantum computers. By using a graph-coloring algorithm to minimize the number of…