NISQ computing: where are we and where do we go?
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 …
computing community a hopefully easy-to-read introduction to the state of the art in the field …
Quantum machine learning: A review and case studies
A Zeguendry, Z Jarir, M Quafafou - Entropy, 2023 - mdpi.com
Despite its undeniable success, classical machine learning remains a resource-intensive
process. Practical computational efforts for training state-of-the-art models can now only be …
process. Practical computational efforts for training state-of-the-art models can now only be …
Integer factorization using stochastic magnetic tunnel junctions
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 …
to represent information in binary code. Despite the evolution of conventional computers into …
Ising formulations of many NP problems
A Lucas - Frontiers in physics, 2014 - frontiersin.org
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 map**s to the Ising model …
Karp's 21 NP-complete problems. This collects and extends map**s to the Ising model …
Experimental fault-tolerant universal quantum gates with solid-state spins under ambient conditions
Quantum computation provides great speedup over its classical counterpart for certain
problems. One of the key challenges for quantum computation is to realize precise control of …
problems. One of the key challenges for quantum computation is to realize precise control of …
Quantum annealing for prime factorization
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 …
executable Ising model by first writing it as an optimization function then transforming the k …
[HTML][HTML] Finding low-energy conformations of lattice protein models by quantum annealing
A Perdomo-Ortiz, N Dickson, M Drew-Brook, G Rose… - Scientific reports, 2012 - nature.com
Lattice protein folding models are a cornerstone of computational biophysics. Although
these models are a coarse grained representation, they provide useful insight into the …
these models are a coarse grained representation, they provide useful insight into the …
Basic elements for simulations of standard-model physics with quantum annealers: Multigrid and clock states
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 …
components required for quantum simulations of standard model physics. By implementing …
Variational quantum factoring
Integer factorization has been one of the cornerstone applications of the field of quantum
computing since the discovery of an efficient algorithm for factoring by Peter Shor …
computing since the discovery of an efficient algorithm for factoring by Peter Shor …
Information security in the post quantum era for 5G and beyond networks: Threats to existing cryptography, and post-quantum cryptography
Quantum computing is an emerging field that uses the concepts of quantum mechanics to
outperform classical computers. Quantum computing finds plethora of applications in the 5G …
outperform classical computers. Quantum computing finds plethora of applications in the 5G …