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quant-ph2026

Near-Optimal Ground-State Preparation without Controlled Hamiltonian Evolutions

Dhrumil Patel, Steven T. Flammia, Raul Garcia-Patron

Ground-state preparation, energy estimation, and property estimation are fundamental tasks in quantum simulation. Existing ground-state preparation algorithms achieve near-optimal…

quant-ph2026

A quantum double-bracket algorithm for imaginary-time evolution with exponentially shorter depth

Ioannis Kolotouros, Raul Garcia-Patron

Imaginary-time evolution (ITE) is a widely used technique for preparing the ground state of a target Hamiltonian. Building on the recently proposed framework of Double-Bracket quan…

quant-ph2026

Quantum Phaselift

Dhrumil Patel, Laura Clinton, Steven T. Flammia +1

Estimating quantum time-series such as the Loschmidt amplitude is central to spectroscopy, Hamiltonian analysis, and many phase-…

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

Probing quantum advantage for solving the Fermi-Hubbard model with entropy benchmarking

Pauline Besserve, Raúl García-Patrón

We developed a practical quantum advantage benchmarking framework that connects the accumulation of entropy in a quantum processing unit and the degradation of the solution to a ta…