Quantum Computing

QCLAB: A Matlab Toolbox for Quantum Computing

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

Diagrammatic Quantum Circuit Compression for Hamiltonian Simulation

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

Long-lived oscillations of metastable states in neutral atom systems

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

False vacuum decay and nucleation dynamics in neutral atom systems

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

Efficient Measurement-Driven Eigenenergy Estimation with Classical Shadows

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.

Non-Clifford diagonalization for measurement shot reduction in quantum expectation value estimation

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.

Quantum Rational Transformation Using Linear Combinations of Hamiltonian Simulations

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.

Quantum-centric supercomputing for materials science: A perspective on challenges and future directions

This paper provides a review on quantum computing for computational problems in materials science and a perspective on the challenges to face in order to solve representative use cases, and new suggested directions.

Evaluation of the Classical Hardware Requirements for Large-Scale Quantum Computations

Presentation on a performance model for large-scale quantum computations at ISC High Performance 2024 in Hamburg.

Evaluation of the Classical Hardware Requirements for Large-Scale Quantum Computations

We develop a performance model to project the classical hardware requirements required for real-time decoding of large-scale quantum computations. Based on this model, we estimate that the equivalent of a petaflop-scale system will be required for real-time decoding of applications relavent to condensed matter physics and quantum chemistry.