Scaling silicon-based quantum computing using CMOS technology:
State-of-the-art, Challenges and Perspectives
- URL: http://arxiv.org/abs/2011.11753v2
- Date: Sat, 8 Apr 2023 10:59:37 GMT
- Title: Scaling silicon-based quantum computing using CMOS technology:
State-of-the-art, Challenges and Perspectives
- Authors: M. F. Gonzalez-Zalba, S. de Franceschi, E. Charbon, T. Meunier, M.
Vinet, and A. S. Dzurak
- Abstract summary: We focus on the analysis of the scaling prospects of quantum computing systems based on CMOS technology.
Recent breakthroughs in nanodevice engineering have shown that qubits can now be manufactured in a similar fashion to silicon field-effect transistors.
- Score: 0.0
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: Complementary metal-oxide semiconductor (CMOS) technology has radically
reshaped the world by taking humanity to the digital age. Cramming more
transistors into the same physical space has enabled an exponential increase in
computational performance, a strategy that has been recently hampered by the
increasing complexity and cost of miniaturization. To continue achieving
significant gains in computing performance, new computing paradigms, such as
quantum computing, must be developed. However, finding the optimal physical
system to process quantum information, and scale it up to the large number of
qubits necessary to build a general-purpose quantum computer, remains a
significant challenge. Recent breakthroughs in nanodevice engineering have
shown that qubits can now be manufactured in a similar fashion to silicon
field-effect transistors, opening an opportunity to leverage the know-how of
the CMOS industry to address the scaling challenge. In this article, we focus
on the analysis of the scaling prospects of quantum computing systems based on
CMOS technology.
Related papers
- Efficient Learning for Linear Properties of Bounded-Gate Quantum Circuits [63.733312560668274]
Given a quantum circuit containing d tunable RZ gates and G-d Clifford gates, can a learner perform purely classical inference to efficiently predict its linear properties?
We prove that the sample complexity scaling linearly in d is necessary and sufficient to achieve a small prediction error, while the corresponding computational complexity may scale exponentially in d.
We devise a kernel-based learning model capable of trading off prediction error and computational complexity, transitioning from exponential to scaling in many practical settings.
arXiv Detail & Related papers (2024-08-22T08:21:28Z) - Assessing and Advancing the Potential of Quantum Computing: A NASA Case Study [11.29246196323319]
We describe NASA's work in assessing and advancing the potential of quantum computing.
We discuss advances in algorithms, both near- and longer-term, and the results of our explorations on current hardware and with simulations.
This work also includes physics-inspired classical algorithms that can be used at application scale today.
arXiv Detail & Related papers (2024-06-21T19:05:42Z) - Quantum Computing for High-Energy Physics: State of the Art and
Challenges. Summary of the QC4HEP Working Group [33.8590861326926]
This paper is led by CERN, DESY and IBM and provides the status of high-energy physics quantum computations.
We give examples for theoretical and experimental target benchmark applications, which can be addressed in the near future.
Having the IBM 100 x 100 challenge in mind, where possible, we also provide resource estimates for the examples given using error mitigated quantum computing.
arXiv Detail & Related papers (2023-07-06T18:01:02Z) - Quantum Machine Learning: from physics to software engineering [58.720142291102135]
We show how classical machine learning approach can help improve the facilities of quantum computers.
We discuss how quantum algorithms and quantum computers may be useful for solving classical machine learning tasks.
arXiv Detail & Related papers (2023-01-04T23:37:45Z) - Quantum computing at the quantum advantage threshold: a down-to-business
review [1.0323063834827415]
We review the state of the art in quantum computing, promising computational models and the most developed physical platforms.
We also discuss potential applications, the requirements posed by these applications and technological pathways towards addressing these requirements.
The review is written in a simple language without equations, and should be accessible to readers with no advanced background in mathematics and physics.
arXiv Detail & Related papers (2022-03-31T16:55:39Z) - Recompilation-enhanced simulation of electron-phonon dynamics on IBM
Quantum computers [62.997667081978825]
We consider the absolute resource cost for gate-based quantum simulation of small electron-phonon systems.
We perform experiments on IBM quantum hardware for both weak and strong electron-phonon coupling.
Despite significant device noise, through the use of approximate circuit recompilation we obtain electron-phonon dynamics on current quantum computers comparable to exact diagonalisation.
arXiv Detail & Related papers (2022-02-16T19:00:00Z) - Standard Model Physics and the Digital Quantum Revolution: Thoughts
about the Interface [68.8204255655161]
Advances in isolating, controlling and entangling quantum systems are transforming what was once a curious feature of quantum mechanics into a vehicle for disruptive scientific and technological progress.
From the perspective of three domain science theorists, this article compiles thoughts about the interface on entanglement, complexity, and quantum simulation.
arXiv Detail & Related papers (2021-07-10T06:12:06Z) - Tensor Network Quantum Virtual Machine for Simulating Quantum Circuits
at Exascale [57.84751206630535]
We present a modernized version of the Quantum Virtual Machine (TNQVM) which serves as a quantum circuit simulation backend in the e-scale ACCelerator (XACC) framework.
The new version is based on the general purpose, scalable network processing library, ExaTN, and provides multiple quantum circuit simulators.
By combining the portable XACC quantum processors and the scalable ExaTN backend we introduce an end-to-end virtual development environment which can scale from laptops to future exascale platforms.
arXiv Detail & Related papers (2021-04-21T13:26:42Z) - CMOS Quantum Computing: Toward A Quantum Computer System-on-Chip [0.0]
CMOS technology provides potential for the integration of qubits with their control and readout circuits on a single chip.
This paves the way for the realization of a large-scale quantum computing system.
arXiv Detail & Related papers (2020-12-16T15:36:17Z) - Quantum Computation [0.0]
We will discuss and summarized the core principles and practical application areas of quantum computation.
The mapping of computation onto the behavior of physical systems is a historical challenge.
We will evaluate the essential technology required for quantum computers to be able to function correctly.
arXiv Detail & Related papers (2020-06-04T11:57:18Z) - An Application of Quantum Annealing Computing to Seismic Inversion [55.41644538483948]
We apply a quantum algorithm to a D-Wave quantum annealer to solve a small scale seismic inversions problem.
The accuracy achieved by the quantum computer is at least as good as that of the classical computer.
arXiv Detail & Related papers (2020-05-06T14:18:44Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.