Exploring the distributed quantum computing paradigm

Harry Buhrman, Hein Röhrig

S.E Manu, Rajkumari Ghosh, Jyoti Seth

Disbursed quantum computing (DQC) is a singular computational paradigm for optimizing complicated optimization problems. It takes advantage of the velocity and c of disbursed computing by combining quantum algorithms with clever use of disbursed computing sources. It affords a novel method for fixing state-of-the-art optimization issues, which are commonly hard to version or remedy with a single laptop. DQC offers the capacity to offer a more efficient and sturdy manner of handling optimization issues in a spread of domain names, which includes finance, logistics, engineering, and machine studying. In DQC, some algorithms exist that incorporate quantum computing techniques for answer discovery (i.e., quantum annealing, variational quantum Eigen solver, and many others.). These algorithms allow the exploration of otherwise intractable answer areas. Quantum computing-based total optimization solves complex problems that are regularly too difficult or too computationally luxurious for an unmarried computer. For example, quantum annealing can solve for global ultimate answers even as parallelizing the hunt efforts to numerous disbursed nodes. At the coronary heart of DQC is its ability to use more than one concurrent resource to find the pleasant answer. By leveraging the allotted computing and parallelizing its efforts, DQC is able to reduce the sources required to clear up complicated optimization problems.

Juan Carlos Boschero, Niels M. P. Neumann, Ward van der Schoot +2 more

Jincheng Zhang

This paper explores a novel approach to distributed quantum computing centered around leveraging multi-variable quantum entanglement. Traditional distributed quantum computing primarily relies on the entanglement of single qubits, which inherently limits computational power. This research proposes a framework that utilizes multi-variable entanglement to construct a more robust and powerful distributed quantum computing network. The core concept involves building a network of entangled quantum systems, facilitating the distributed computation of quantum algorithms. The theoretical foundation rests on the principles of entangled state manipulation and distributed quantum computation theory. We demonstrate that this approach offers a significant advancement over existing methods, potentially unlocking capabilities unattainable with single-qubit entanglement. The primary goal is to present a viable pathway toward scalable distributed quantum computation utilizing the inherent complexity of multi-variable entanglement. This work outlines the key components and theoretical underpinnings of this new paradigm, emphasizing its potential impact on future quantum computing architectures. ---

Ming‐Xing Luo

Namisha Gupta, Divya Punia, Kumar Gautam +2 more

Recent advances in quantum technologies are rapidly pushing the boundaries of computational capabilities, with the promise of significant speedups across a variety of applications. However, building large-scale monolithic quantum processors remains an immense engineering challenge, motivating the pursuit of alternative paradigms to realize practical quantum advantage. One such paradigm is Distributed Quantum Computing (DQC), which interconnects multiple quantum nodes via quantum networks to collectively perform complex computations. While Circuit-Based Quantum Computing (CBQC) has traditionally been the dominant model, Measurement-Based Quantum Computing (MBQC), with its one-way computation framework and pre-shared entangled cluster states, introduces distinctive benefits for distributed architectures. Importantly, within DQC, MBQC offers enhanced security over CBQC by naturally supporting protocols such as Blind Quantum Computation (BQC) and secure delegated processing. This study offers an application-oriented perspective on the role of MBQC in DQC, highlighting concrete industrial use cases alongside key implementation challenges. By bridging theoretical potential with practical deployment considerations, it aims to accelerate progress toward secure and scalable distributed quantum systems.