Optimization, sampling and machine learning are topics of broad interest that have inspired
significant developments and new approaches in quantum computing. One such approach …

Dissipative time crystals can appear in spin systems, when the Z 2 symmetry of the
Hamiltonian is broken by the environment, and the square of total spin operator S 2 is …

Hybrid quantum-classical algorithms are central to much of the current research in quantum
computing, particularly when considering the noisy intermediate-scale quantum (NISQ) era …

Quantum annealing offers an approach to finding the optimal solutions for a variety of
computational problems, where the quantum annealing controls influence the observed …

We present a direct comparison between QAOA (Quantum Alternating Operator Ansatz), and
QA (Quantum Annealing) on 127 qubit problem instances. QAOA with p= 1, 2 rounds is …

Finding the exact counterdiabatic potential is, in principle, particularly demanding. Following
recent progress about variational strategies to approximate the counterdiabatic operator, in …

The study of optimal control of quantum annealing by modulating the pace of evolution and
by introducing a counterdiabatic potential has gained significant attention in recent times. In …

We propose and analyze the use of Bayesian optimization techniques to design quantum
annealing schedules with minimal user and resource requirements. We showcase our …

Recent empirical results using quantum-annealing hardware have shown that midanneal
pausing has a surprisingly beneficial impact on the probability of finding the ground state for …

A shorter processing time is desirable for quantum computation to minimize the effects of
noise. We propose a simple procedure to variationally determine a set of parameters in the …