Quantum computers are expected to surpass the computational capabilities of classical
computers during this decade and have transformative impact on numerous industry sectors …

Quantum assembly languages are machine-independent languages that traditionally
describe quantum computation in the circuit model. Open quantum assembly language …

The fusion of quantum computing and artificial intelligence (AI) heralds a transformative era
for Industry 4.0, offering unprecedented capabilities and challenges. This paper delves into …

We introduce Mitiq, a Python package for error mitigation on noisy quantum computers. Error
mitigation techniques can reduce the impact of noise on near-term quantum computers with …

The study of the impact of noise on quantum circuits is especially relevant to guide the
progress of Noisy Intermediate-Scale Quantum (NISQ) computing. In this paper, we address …

The rapid development of reliable quantum processing units opens up novel computational
opportunities for machine learning. Here, we introduce a procedure for measuring the …

A successful deployment of quantum computing algorithms requires quantum hardware and
middleware software dedicated to instrument control for specific quantum platform …

Dynamically field-programmable qubit arrays (DPQA) have recently emerged as a promising
platform for quantum information processing. In DPQA, atomic qubits are selectively loaded …

Because of the largest number of qubits available, and the massive parallel execution of
entangling two-qubit gates, atom arrays is a promising platform for quantum computing. The …

Machine learning models capable of handling the large data sets collected in the financial
world can often become black boxes expensive to run. The quantum computing paradigm …