In this short review article, we aim to provide physicists not working within the quantum
computing community a hopefully easy-to-read introduction to the state of the art in the field …

Exciton science sits at the intersection of chemical, optical and spin-based implementations
of information processing, but using excitons to conduct logical operations remains relatively …

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 (QA) and Quantum Alternating Operator Ansatz (QAOA) are both
heuristic quantum algorithms intended for sampling optimal solutions of combinatorial …

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 …

Quantum annealing has the potential to outperform classical transistor-based computer
technologies in tackling intricate combinatorial optimization problems. However, ongoing …

Quantum computing is gaining popularity across a wide range of scientific disciplines due to
its potential to solve long-standing computational problems that are considered intractable …

A frequent starting point of quantum computation platforms is the two-state quantum system,
ie, the qubit. However, in the context of integer optimization problems, relevant to scheduling …

State preparation plays a pivotal role in numerous quantum algorithms, including quantum
phase estimation. This paper extends and benchmarks counterdiabatic driving protocols …

Classical computing has borne witness to the development of machine learning. The
integration of quantum technology into this mix will lead to unimaginable benefits and be …