Quantum Computing

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.

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

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.

We test the capabilities of the Aquila quantum simulator on a variety of tasks.

We provide explicit quantum circuits for the block encoding of certain sparse matrices.

Presentation on quantum phases in the Lieb lattice in neutral atom systems at APS March Meeting 2024.

This paper proposes a nested state preparation circuit construction with a high degree of quantum parallelism. We test this circuit to load a variety of data sets stemming from applications and process them directly on a real QPU.

In this paper, we explore a diagonal state design based on real-time evolutions.

We simulate the physics of dirty bosons in 1D on quantum computer and in 2D on a quantum circuit simulator.

In this paper, we introduce a notion of commutativity between operators on a tensor product space, nominally Pauli strings on qubits, that interpolates between qubit-wise commutativity and (full) commutativity.