Quantum Computing

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.

In this paper, we introduce k-NoCliD, a method to reduce the number of measurements for estimating expectation values that relaxes the constraint of commutativity.

We propose two methods for implementing operator resolvents on a quantum computer based on Hamiltonian simulation: a first method based on discretization of integral representations of the resolvent through Gauss quadrature rule and a second method that leverages a continuous variable ancilla qubit. We use these results to study the implementation of rational functions on a quantum computer and illustrate their potential for estimating low-lying energies.