Enhancing Quantum Annealing via entanglement distribution
- URL: http://arxiv.org/abs/2212.02465v2
- Date: Wed, 20 Mar 2024 15:36:53 GMT
- Title: Enhancing Quantum Annealing via entanglement distribution
- Authors: Raúl Santos, Lorenzo Buffoni, Yasser Omar,
- Abstract summary: Quantum Annealing has proven to be a powerful tool to tackle several optimization problems.
Its performance is severely impacted by the limited connectivity of the underlying quantum hardware.
We present a novel approach to address these issues, by describing a method to implement non-local couplings.
- Score: 1.1470070927586018
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: Quantum Annealing has proven to be a powerful tool to tackle several optimization problems. However, its performance is severely impacted by the limited connectivity of the underlying quantum hardware, compromising the quantum speedup. In this work, we present a novel approach to address these issues, by describing a method to implement non-local couplings throught the lens of Local Operations and Classical Communcations (LOCC). Non-local couplings are very versatile, harnessing the configurability of distributed quantum networks, which in turn lead to great enhancement of the physical connectivity of the underlying hardware. Furthermore, the realization of non-local couplings between distinct quantum annealing processors activates the scalability potential of distributed systems, i.e. allowing for a distributed quantum annealing system. Finally, in a more distant vision, we also show that secure multi-party quantum annealing algorithms are possible, allowing for cooperation of distrusting parties through optimization with quantum annealing and a particular type of non-local couplings.
Related papers
- Quantum Advantage in Distributed Sensing with Noisy Quantum Networks [37.23288214515363]
We show that quantum advantage in distributed sensing can be achieved with noisy quantum networks.
We show that while entanglement is needed for this quantum advantage, genuine multipartite entanglement is generally unnecessary.
arXiv Detail & Related papers (2024-09-25T16:55:07Z) - Guarantees on the structure of experimental quantum networks [109.08741987555818]
Quantum networks connect and supply a large number of nodes with multi-party quantum resources for secure communication, networked quantum computing and distributed sensing.
As these networks grow in size, certification tools will be required to answer questions regarding their properties.
We demonstrate a general method to guarantee that certain correlations cannot be generated in a given quantum network.
arXiv Detail & Related papers (2024-03-04T19:00:00Z) - A Quantum-Classical Collaborative Training Architecture Based on Quantum
State Fidelity [50.387179833629254]
We introduce a collaborative classical-quantum architecture called co-TenQu.
Co-TenQu enhances a classical deep neural network by up to 41.72% in a fair setting.
It outperforms other quantum-based methods by up to 1.9 times and achieves similar accuracy while utilizing 70.59% fewer qubits.
arXiv Detail & Related papers (2024-02-23T14:09:41Z) - Near-Term Distributed Quantum Computation using Mean-Field Corrections
and Auxiliary Qubits [77.04894470683776]
We propose near-term distributed quantum computing that involve limited information transfer and conservative entanglement production.
We build upon these concepts to produce an approximate circuit-cutting technique for the fragmented pre-training of variational quantum algorithms.
arXiv Detail & Related papers (2023-09-11T18:00:00Z) - The Quantum Internet: an Efficient Stabilizer states Distribution Scheme [0.0]
Quantum networks constitute a major part of quantum technologies.
They will boost quantum computing drastically by providing a scalable modular architecture of quantum chips.
They will provide the backbone of the future quantum internet, allowing for high margins of security.
arXiv Detail & Related papers (2023-05-04T08:53:38Z) - On-the-fly Tailoring towards a Rational Ansatz Design for Digital
Quantum Simulations [0.0]
It is imperative to develop low depth quantum circuits that are physically realizable in quantum devices.
We develop a disentangled ansatz construction protocol that can dynamically tailor an optimal ansatz.
The construction of the ansatz may potentially be performed in parallel quantum architecture through energy sorting and operator commutativity prescreening.
arXiv Detail & Related papers (2023-02-07T11:22:01Z) - Cavity-enhanced quantum network nodes [0.0]
A future quantum network will consist of quantum processors that are connected by quantum channels.
I will describe how optical resonators facilitate quantum network nodes.
arXiv Detail & Related papers (2022-05-30T18:50:35Z) - Quantum communication complexity beyond Bell nonlocality [87.70068711362255]
Efficient distributed computing offers a scalable strategy for solving resource-demanding tasks.
Quantum resources are well-suited to this task, offering clear strategies that can outperform classical counterparts.
We prove that a new class of communication complexity tasks can be associated to Bell-like inequalities.
arXiv Detail & Related papers (2021-06-11T18:00:09Z) - Direct Quantum Communications in the Presence of Realistic Noisy
Entanglement [69.25543534545538]
We propose a novel quantum communication scheme relying on realistic noisy pre-shared entanglement.
Our performance analysis shows that the proposed scheme offers competitive QBER, yield, and goodput.
arXiv Detail & Related papers (2020-12-22T13:06:12Z) - Entanglement Classification via Neural Network Quantum States [58.720142291102135]
In this paper we combine machine-learning tools and the theory of quantum entanglement to perform entanglement classification for multipartite qubit systems in pure states.
We use a parameterisation of quantum systems using artificial neural networks in a restricted Boltzmann machine (RBM) architecture, known as Neural Network Quantum States (NNS)
arXiv Detail & Related papers (2019-12-31T07:40:23Z)
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.