Neuromorphic computing uses brain-inspired principles to design circuits that can perform
computational tasks with superior power efficiency to conventional computers. Approaches …

We provide Ising formulations for many NP-complete and NP-hard problems, including all of
Karp's 21 NP-complete problems. This collects and extends mappings to the Ising model …

Conventional computers operate deterministically using strings of zeros and ones called bits
to represent information in binary code. Despite the evolution of conventional computers into …

Remarkable progress towards realizing quantum computation has been achieved using
natural and artificial atoms as qubits. This paper presents a brief overview of the current …

Shortcuts to adiabaticity are well-known methods for controlling the quantum dynamics
beyond the adiabatic criteria, where counterdiabatic (CD) driving provides a promising …

We have developed a framework to convert an arbitrary integer factorization problem to an
executable Ising model by first writing it as an optimization function then transforming the k …

The model of adiabatic quantum computation is a relatively recent model of quantum
computation that has attracted attention in the physics and computer science communities …

By 2025, up to 10% of global gross domestic product is likely to be stored on blockchains 1.
A blockchain is a digital tool that uses cryptography techniques to protect information from …

We explore the potential of D-Wave's quantum annealers for computing some of the basic
components required for quantum simulations of standard model physics. By implementing …

Processing of digital images is continuously gaining in volume and relevance, with
concomitant demands on data storage, transmission, and processing power. Encoding the …