We describe Qiskit, a software development kit for quantum information science. We discuss
the key design decisions that have shaped its development, and examine the software …

As the year-to-year gains in speeds of classical computers continue to taper off,
computational chemists are increasingly examining quantum computing as a possible route …

In this work we present an experimental demonstration of the Contextual Subspace
Variational Quantum Eigensolver on superconducting quantum hardware. In particular, we …

In this paper, we explore the integration of parameterized quantum pulses with the
contextual subspace method. The advent of parameterized quantum pulses marks a …

The contextual subspace variational quantum eigensolver (CS-VQE) is a hybrid quantum-
classical algorithm that approximates the ground-state energy of a given qubit Hamiltonian …

Exactly solvable Hamiltonians that can be diagonalized by using relatively simple unitary
transformations are of great use in quantum computing. They can be employed for the …

Using trial wavefunctions prepared on quantum devices to reduce the bias of auxiliary-field
quantum Monte Carlo (QC-AFQMC) has established itself as a promising hybrid approach to …

Due to numerous limitations including restrictive qubit topologies, short coherence times,
and prohibitively high noise floors, few quantum chemistry experiments performed on …

In this thesis we study quantum algorithms motivated by two unifying concepts: contextuality
and sparsity. Contextuality is a characteristic feature of quantum mechanics, and identifying …