Quantum computing is regarded as a promising paradigm that may overcome the current
computational power bottlenecks in the post-Moore era. The increasing maturity of quantum …

Quantum computers promise dramatic advantages in processing speed over currently
available computer systems. Quantum computing offers great promise in a wide variety of …

Currently available quantum computers are prone to errors. Circuit optimization and error
mitigation methods are needed to design quantum circuits to achieve better fidelity when …

Quantum annealing has the potential to find low energy solutions of NP-hard problems that
can be expressed as quadratic unconstrained binary optimization problems. However, the …

Quantum computers are getting larger and larger, but device fidelities may not be able to
keep up with the increase in qubit numbers. One way to make use of a large device that has …

Quantum multi-programming is a method utilizing contemporary noisy intermediate-scale
quantum computers by executing multiple quantum circuits concurrently. Despite early …

In the noisy intermediate-scale quantum (NISQ) era, the idea of quantum multiprogramming,
running multiple quantum circuits (QCs) simultaneously on the same hardware, helps to …

The emerging field of quantum computing has shown it might change how we process
information by using the unique principles of quantum mechanics. As researchers continue …

Quantum computing is performed on Noisy Intermediate-Scale Quantum (NISQ) hardware in
the short term. Only small circuits can be executed reliably on a quantum machine due to the …

Quantum annealing is a type of analog computation that aims to use quantum mechanical
fluctuations in search of optimal solutions of QUBO (quadratic unconstrained binary …