Zobrazeno 1 - 10
of 61
pro vyhledávání: '"C. P. Hollenberg"'
Publikováno v:
npj Quantum Information, Vol 10, Iss 1, Pp 1-9 (2024)
Abstract One of the fundamental tasks in quantum information theory is quantum data compression, which can be realized via quantum autoencoders that first compress quantum states to low-dimensional ones and then recover to the original ones with a re
Externí odkaz:
https://doaj.org/article/feff405012bd4836949d71e0ebccc690
Publikováno v:
Physical Review Research, Vol 6, Iss 3, p 033155 (2024)
As quantum technology advances and the size of quantum computers grow, it becomes increasingly important to understand the extent of quality in the devices. As large-scale entanglement is a quantum resource crucial for achieving quantum advantage, th
Externí odkaz:
https://doaj.org/article/dd7aeae3f11a4f6fa6321622996c3b3d
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-8 (2023)
Abstract The efficient preparation of quantum states is an important step in the execution of many quantum algorithms. In the noisy intermediate-scale quantum (NISQ) computing era, this is a significant challenge given quantum resources are scarce an
Externí odkaz:
https://doaj.org/article/4938a616e89b4458aee13489864d0bf7
Autor:
Maxwell T. West, Azar C. Nakhl, Jamie Heredge, Floyd M. Creevey, Lloyd C. L. Hollenberg, Martin Sevior, Muhammad Usman
Publikováno v:
Intelligent Computing, Vol 3 (2024)
Quantum machine learning (QML) is emerging as an application of quantum computing with the potential to deliver quantum advantage, but its realization for practical applications remains impeded by challenges. Among these, a key barrier is the computa
Externí odkaz:
https://doaj.org/article/f03692d5358a4a4ebe6e38d209b03a5f
Publikováno v:
IEEE Transactions on Quantum Engineering, Vol 4, Pp 1-20 (2023)
Quantum algorithms based on variational approaches are one of the most promising methods to construct quantum solutions and have found a myriad of applications in the last few years. Despite the adaptability and simplicity, their scalability and the
Externí odkaz:
https://doaj.org/article/d89a572f65c04deaae250bf2857fb92e
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-9 (2022)
Abstract Quantum computers hold promise to circumvent the limitations of conventional computing for difficult molecular problems. However, the accumulation of quantum logic errors on real devices represents a major challenge, particularly in the purs
Externí odkaz:
https://doaj.org/article/b1c0d511cee34808b246c940f95f61ac
Autor:
Harish J. Vallury, Michael A. Jones, Gregory A. L. White, Floyd M. Creevey, Charles D. Hill, Lloyd C. L. Hollenberg
Publikováno v:
Quantum, Vol 7, p 1109 (2023)
In the lead up to fault tolerance, the utility of quantum computing will be determined by how adequately the effects of noise can be circumvented in quantum algorithms. Hybrid quantum-classical algorithms such as the variational quantum eigensolver (
Externí odkaz:
https://doaj.org/article/683ec389f1304a268f1bfe8eb19ad70a
Publikováno v:
Quantum, Vol 7, p 1058 (2023)
Surface code error correction offers a highly promising pathway to achieve scalable fault-tolerant quantum computing. When operated as stabilizer codes, surface code computations consist of a syndrome decoding step where measured stabilizer operators
Externí odkaz:
https://doaj.org/article/ed7d67187e7443679b53947016d4d2e9
Autor:
Maxwell T. West, Sarah M. Erfani, Christopher Leckie, Martin Sevior, Lloyd C. L. Hollenberg, Muhammad Usman
Publikováno v:
Physical Review Research, Vol 5, Iss 2, p 023186 (2023)
Machine learning (ML) methods such as artificial neural networks are rapidly becoming ubiquitous in modern science, technology, and industry. Despite their accuracy and sophistication, neural networks can be easily fooled by carefully designed malici
Externí odkaz:
https://doaj.org/article/5a4293add51c45b8a72693e77d943aa8
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-10 (2020)
As quantum computing devices become more complex, they enter the realm of correlated noise, which is difficult to characterise and mitigate. Here, the authors demonstrate, over a range of superconducting devices, a method for non-Markovian dynamics c
Externí odkaz:
https://doaj.org/article/c8fe24a9933c4d4fb8479c741fe01dd4