In this work, we attempt to show the differences between traditional qubit-based spintronic methodology for quantum computation and the possible ballistic quantum network implementations. Flux qubits can be considered topologically similar to the persistent currents possessed as the angular momentum in Aharonov-Bohm loops, which can be coupled and thus entangled together. Since entanglement is guaranteed for coupled quantum networks, starting from a point-contacted situation, we first investigate how varying the degree of entanglement strength can affect the superposition of the four possible states for two isolated flux qubits being brought together. In general, the superposition is destroyed once the degree of entanglement is altered from the point-contact situation. However, we show that for a specific network with maximum entanglement, a Bell state situation can be produced. We then examine the effects of varying the external perturbation strength on the readout capability in quantum networks by changing the coupling strength through the cross-sectional area ratio. From the analysis of our results, we are persuaded to believe that two universally accepted components for quantum computing are not valid in the quantum network approach: the need of a weak perturbation for measurement of computational results and the requirement of fixed entanglement among qubits. We show there is an interplay between the strength of the entanglement and that of the external perturbation for high-fidelity classical readouts.
In this work, we attempt to show the differences between traditional qubit-based spintronic methodology for quantum computation and the possible ballistic quantum network implementations. Flux qubits can be considered topologically similar to the persistent currents possessed as the angular momentum in Aharonov-Bohm loops, which can be coupled and thus entangled together. Since entanglement is guaranteed for coupled quantum networks, starting from a point-contacted situation, we first investigate how varying the degree of entanglement strength can affect the superposition of the four possible states for two isolated flux qubits being brought together. In general, the superposition is destroyed once the degree of entanglement is altered from the point-contact situation. However, we show that for a specific network with maximum entanglement, a Bell state situation can be produced. We then examine the effects of varying the external perturbation strength on the readout capability in quantum networks by changing the coupling strength through the cross-sectional area ratio. From the analysis of our results, we are persuaded to believe that two universally accepted components for quantum computing are not valid in the quantum network approach: the need of a weak perturbation for measurement of computational results and the requirement of fixed entanglement among qubits. We show there is an interplay between the strength of the entanglement and that of the external perturbation for high-fidelity classical readouts.
Superconducting qubits have in recent years become a promising candidate for the implementation of a quantum computer due to their design flexibility, good protection from decohering elementary excitations, and availability of well developed fabrication and measurement techniques. Superconducting flux qubits, for which the effect of offset charge noise is reduced due to the fact that the Josephson energy dominates over the charging energy, correspond to one of the proposed means of designing a superconducting qubit. A nonlinear dispersive readout scheme of flux qubits involving a DC SQUID magnetometer that avoids the effects of on-chip dissipation can be readily implemented, yielding high contrast output for single qubit readout. Coupling schemes via nonlinear Josephson elements have also been realized. On the other hand, while the means of isolating superconducting qubits from external noise sources has been found, the mechanisms by which they undergo relaxation and decoherence due to intrinsic noise sources in the junctions themselves are not very well understood, and the question of how to deal with these noise sources remains unanswered in the general case. Other questions deal with the problem of experimentally observing entanglement in an array of coupled superconducting qubits, and finding the means by which the existence of entanglement in a typical laboratory setup may to some extent be verified by measurements on a global scale. Following a brief introductory review, we will first investigate the influence of a Two-Level Fluctuator on a DC SQUID driven by a finite current bias. Then we introduce a directly measurable signature of multiqubit entanglement for a large system of qubits and show that it is compatible to a recently introduced measure of global entanglement.
A major driver for further research into the basics of marginal rights of advantage for quantum algorithms is Google’s recent decision to enter the open innovation in quantum computation. I begin with a risky examination of the concepts of entanglement and quantum nonlocality, and whether or not they could be the foundation for quantum logic. According to probabilistic computing on quantum machines, probabilistic algorithms may continue to operate even in the absence of knowledge of joint possibility deliveries. Joint possibility distributions computation takes an incredibly long time. As a result, quantum algorithms may be superior to traditional probabilistic methods for computing joint possibility distributions for n random variables. The traditional formula for the total possibility is altered by quantum probability theory. An interdisciplinary field called quantum computing (QC) seeks to comprehend how information is processed using the principles of quantum physics. QC is the application of features of quantum states, such as superposition and entanglement, to computation. It has demonstrated how superior it is to traditional computers. More than just present computers can be outperformed by quantum computing. Quantum information technology is now a state-led research initiative and is regarded as an emerging market. In quantum computing, the two forms of computation are distinct. Superposition and entanglement are used, and it is founded on ideas relying on quantum mechanics. Entanglement is the capacity of qubits near be interdependent, so that a change in the state of one may result in an instantaneous change in others. According to entanglement, qubits are capable of holding both the 0 and 1 states concurrently. Even though single-qubit gates and isolated qubits have created some fascinating occurrences, relationships between qubits are what allow QC to reach its full potential. Implementations of quantum computation and quantum information have made significant progress in the last 10 years. This analysis selected literature with specific keywords covering about a century from different databases that were subordinate resource-indexed. A general understanding of quantum entanglement, quantum computing, and applications will be provided through this research. The first quantum revolution brought quantum technology into everyday life since electronics and optics are based on quantum mechanical principles. The quantum concepts of superposition, entanglement, and measurement are currently being used to fuel a second quantum revolution that has not yet been completely realized. Four key application areas for quantum technologies and services have been recognized by international innovation activities and standardization bodies. Quantum technologies include secure communications, computing, simulation, sensing, and metrology. Currently, it is believed that distributing entangled states using quantum repeaters offers the best chance of bypassing this restriction without the use of expensive trusted nodes. There could be disastrous consequences if quantum computers were to jeopardize the security of everyday tasks. The veracity of digital documents will be threatened, certain cryptocurrency encryption will be compromised, and data breaches involving sensitive financial and health information will increase as a result of the quantum hazard. Most of the current algorithms are “safe enough” for the time being until QC is further developed with an emphasis on hash deciphering and brute-forcing passwords. It would take at least a month and maybe as long as a year to crack a single “standard” strong password for continuous computing.
This paper proposes a novel approach to quantum computation leveraging the topological properties of quantum entanglement. The core claim is to construct a highly fault-tolerant distributed computing architecture by harnessing these topological features, thereby mitigating the decoherence challenges prevalent in traditional quantum computing. The proposed mechanism involves encoding quantum information into physically interconnected quantum nodes via entangled networks. This topological protection inherently provides redundancy for quantum information storage and facilitates error correction. Furthermore, the architecture utilizes the inherent topology of the nodes for parallel computation. The resulting system offers a fundamentally different paradigm for quantum computing, promising scalability and robustness. The theoretical framework presented outlines the key components and operational principles, focusing on the manipulation and utilization of entangled states within a topological framework. The primary goal is to demonstrate a pathway towards building practical, resilient quantum computers capable of tackling complex computational problems. This work establishes a foundational model for future research in entanglement-based topological quantum computation.
This paper explores a novel approach to achieving high-fidelity and scalable quantum computation through heterogeneous qubit connectivity within a topological quantum computing framework. The core challenge in topological quantum computing lies in effectively connecting qubits of diverse types – differing in their physical realization and control mechanisms – to enable complex quantum algorithms. This work proposes a system leveraging topological networks to establish these connections, capitalizing on quantum entanglement to facilitate information transfer and control across disparate qubit architectures. The proposed method addresses a critical bottleneck in the development of topological quantum computers by offering a fundamentally new strategy for heterogeneous qubit integration. The theoretical framework presented outlines the key principles and potential advantages of this approach, emphasizing the realization of robust, scalable, and versatile quantum systems. We detail the conceptual design, focusing on entanglement distribution and error mitigation strategies specific to this architecture. The ultimate goal is to demonstrate a pathway towards building quantum computers capable of tackling complex problems requiring diverse qubit capabilities.
We propose an electrodynamic Aharonov-Bohm (AB) scheme where a nonzero AB phase difference appears even if the interferometer paths do not enclose a magnetic flux and are subjected to negligible scalar potential differences during the propagation of the quantum charged particle. In the proposal, the current in a solenoid outside the interferometer varies in time while the quantum particle is in a superposition state inside two Faraday cages, such that it is always subjected to negligible electromagnetic fields. At first glance, this result could challenge the topological nature of the AB effect. However, by considering the topology of the electromagnetic field configuration and the possible particle trajectories in spacetime, we demonstrate the topological nature of this situation.
Abstract We implement a linear Generalized Uncertainty Principle (GUP) in a phase-coherent Aharonov-Bohm ring and show that it imprints a distinctive mesoscopic signature. The deformation produces a cubic correction to the kinetic energy that skews the equilibrium current-flux sawtooth and turns on a robust third Fourier harmonic whose amplitude grows linearly with the deformation strength. Closed form many-body results at zero temperature yield a symmetry-protected third-to-first harmonic ratio that cleanly isolates the linear-GUP signal while canceling nonuniversal prefactors, making the observable resilient to material specifics, weak disorder, spin, and moderate thermal smearing. Using the harmonic-resolution capabilities of current ring experiments, we translate realistic sensitivities into direct bounds on the deformation parameter and on its standard dimensionless coupling in quantum gravity phenomenology. The framework provides a crisp discriminator between linear and purely quadratic GUP deformations, only the linear case activates an even-under-flux-inversion harmonic sector with a leading third harmonic. Beyond phenomenology, the minimal resolvable length implied by the GUP naturally bounds the information content of the flux-current map and the number of harmonics that can be stably resolved, suggesting a pragmatic analogy without claiming formal equivalence to classical limits on computation and decidability. Taken together, these results establish persistent-current harmonics as a tabletop, symmetry protected probe of minimal-length physics and outline clear routes, i.e. , smaller rings, ring arrays, and low-noise harmonic readout to substantially tighten the resulting constraints.