output
20192026
most citedStrategies for solving the Fermi-Hubbard model on near-term quantum computers

187 citations

Showing 2024 · quant-phShow all

11 papers · 2 filters

quant-ph2024★ 2 cited

Laplace expansions and tree decompositions: A faster polytime algorithm for shallow nearest-neighbour Boson Sampling

Samo Novák, Raúl García-Patrón

In a Boson Sampling quantum optical experiment we send individual photons into an -mode interferometer and we measure the occupation pattern on the output. The statistics of…

quant-ph2024

Entropy density benchmarking of near-term quantum circuits

Marine Demarty, James Mills, Kenza Hammam +1

Understanding the limitations imposed by noise on current and next-generation quantum devices is a crucial step toward demonstrating practical quantum advantage. In this work, we i…

quant-ph2024

Boundaries for quantum advantage with single photons and loop-based time-bin interferometers

Samo Novák, David D. Roberts, Alexander Makarovskiy +2

Loop-based boson samplers interfere photons in the time degree of freedom using a sequence of delay lines. Since they require few hardware components while also allowing for long-r…

quant-ph2024★ 1 cited

Chasing shadows with Gottesman-Kitaev-Preskill codes

Jonathan Conrad, Jens Eisert, Steven T. Flammia

We consider the task of performing shadow tomography of a logical subsystem defined via the Gottesman-Kitaev-Preskill (GKP) error correcting code. Our protocol does not require the…

quant-ph2024★ 1 cited

Fiber Bundle Fault Tolerance of GKP Codes

Ansgar G. Burchards, Steven T. Flammia, Jonathan Conrad

We investigate multi-mode GKP (Gottesman--Kitaev--Preskill) quantum error-correcting codes from a geometric perspective. First, we construct their moduli space as a quotient of gro…

quant-ph2024★ 5 cited

Efficient self-consistent learning of gate set Pauli noise

Senrui Chen, Zhihan Zhang, Liang Jiang +1

Understanding quantum noise is an essential step towards building practical quantum information processing systems. Pauli noise is a useful model that has been widely applied in qu…

quant-ph2024★ 2 cited

Approximating dynamical correlation functions with constant depth quantum circuits

Reinis Irmejs, Raul A. Santos

One of the most important quantities characterizing the microscopic properties of quantum systems are dynamical correlation functions. These correlations are obtained by time-evolv…

quant-ph2024★ 1 cited

How pure can we go with adiabatic state manipulation?

Raul A. Santos, Alex Kamenev, Yuval Gefen

Dissipative systems with decoherence free subspaces, a.k.a. dark spaces (DSs), can be used to protect quantum information. At the same time, dissipation is expected to give rise to…

quant-ph2024★ 20 cited

Exponential improvements in the simulation of lattice gauge theories using near-optimal techniques

Mason L. Rhodes, Michael Kreshchuk, Shivesh Pathak

We report a first-of-its-kind analysis on post-Trotter simulation of U(1), SU(2) and SU(3) lattice gauge theories including fermions in arbitrary spatial dimension. We provide expl…

quant-ph2024★ 8 cited

Unveiling quantum phase transitions from traps in variational quantum algorithms

Chenfeng Cao, Filippo Maria Gambetta, Ashley Montanaro +1

Understanding quantum phase transitions in physical systems is fundamental to characterize their behavior at low temperatures. Achieving this requires both accessing good approxima…

quant-ph2024★ 10 cited

Efficient and practical Hamiltonian simulation from time-dependent product formulas

Jan Lukas Bosse, Andrew M. Childs, Charles Derby +3

In this work we propose an approach for implementing time-evolution of a quantum system using product formulas. The quantum algorithms we develop have provably better scaling (in t…