Quantum Computing

This work explores the phase diagram of Rydberg atoms on the Lieb lattice as well as relaxation dynamics.

This work proposes a framework for DMFT calculations on quantum computers, focusing on near-term applications. It leverages the structure of the impurity problem, combining a low-rank Gaussian subspace representation of the ground state and a compressed, short-depth quantum circuit that joins the Gaussian state preparation with the time evolution to compute the necessary Green's functions.

In this paper, we provide details on the curriculum and outcomes of the 2024 Quantum Computing, Math and Physics Camp (QCaMP).

In this paper, we integrate a framework for benchmarking quantum simulation and observable estimation in the QED-C benmark suite.

We present v1.0 of QCLAB, an object-oriented MATLAB toolbox for constructing, representing, and simulating quantum circuits.

We derive the results on compression of Hamiltonian simulation circuits using ZX-calculus.

HamLib is an extensive dataset of qubit Hamiltonians spanning a large range of problem sizes and instances that is designed for testing quantum algorithms, software and hardware.

We study the dynamics of long-lived oscillations of metastable states in neutral atom systems.

We study the dynamics of neutral atom systems in the false vacuum decay and annealing regimes.

In this paper, we introduce the multi-observable dynamic mode decomposition (MODMD) approach combining ODMD with classical shadows for efficient low-lying energy computations on near-term and early fault-tolerant quantum computers.