activity
20242026
collaborators

5 papers

quant-ph2026

Setting angles in quantum approximate optimization at utility-scale

Maosheng Guo, Joel Jurado Diaz, Anurag Ramesh +16

The quantum approximate optimization algorithm (QAOA) is a powerful heuristic that seeks to solve combinatorial optimization problems using quantum hardware and classical optimizat…

quant-ph2025

Programmable digital quantum simulation of 2D Fermi-Hubbard dynamics using 72 superconducting qubits

Faisal Alam, Jan Lukas Bosse, Ieva Čepaitė +41

Simulating the time-dynamics of quantum many-body systems was the original use of quantum computers proposed by Feynman, motivated by the critical role of quantum interactions betw…

quant-ph2025

Fermionic dynamics on a trapped-ion quantum computer beyond exact classical simulation

Faisal Alam, Jan Lukas Bosse, Ieva Čepaitė +37

Simulation of the time-dynamics of fermionic many-body systems has long been predicted to be one of the key applications of quantum computers. Such simulations -- for which classic…

quant-ph2025

Quantum-Enhanced Optimization by Warm Starts

Ieva Čepaitė, Niam Vaishnav, Leo Zhou +1

We present an approach, which we term quantum-enhanced optimization, to accelerate classical optimization algorithms by leveraging quantum sampling. Our method uses quantum-generat…

quant-ph2024

Counterdiabatic, Better, Faster, Stronger: Optimal control for approximate counterdiabatic driving

Ieva Čepaitė

Adiabatic protocols are employed across a variety of quantum technologies, from implementing state preparation and individual operations that are building blocks of larger devices,…