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About 10,000 papers for “Quantum information processing”

Quantum Information Processing

Beth, Thomas, Leuchs, Gerd · 2003

Quantum processing and communication is emerging as a challenging technique at the beginning of the new millennium. This is an up-to-date insight into the current research of quantum superposition, entanglement, and the quantum measurement process - the key ingredients of quantum information processing. The authors further address quantum protocols and algorithms. Complementary to similar programmes in other countries and at the European level, the German Research Foundation (DFG) started a focused research program on quantum information in 1999. The contributions - written by leading experts - bring together the latest results in quantum information as well as addressing all the relevant questions

Cited by 1

Quantum Information Processing

Umesh Vazirani, Christos H. Papadimitriou, Alistair Sinclair · 2004

Abstract : This effort supported a Quantum Information Workshop at the University of California, Berkeley. After a cut in funding, the remaining unspent funding was used to support: (I) research related to the internet involving the interplay between mechanism design and computational complexity, (2) improved understanding of the connections between phase transitions in statistical mechanics and mixing times of Markov chain Monte Carlo algorithms, and (3) an investigation of the logic of transcriptional control of various model organisms, with emphasis on characterizing the binding sites of key transcription factors via stochastic models.

Cited by 42

Quantum information processing

Andrea Delgado, Kathleen E. Hamilton · 2025

This chapter provides an introduction to the principles of quantum information processing, establishing the theoretical foundation for quantum machine learning. It covers the representation of quantum states using qubits, the mathematical framework of quantum mechanics, and the role of superposition, entanglement, and measurement. Key models such as quantum circuits and quantum gates are introduced, along with illustrative algorithms including Deutsch–Jozsa and Grover’s search. These examples demonstrate how quantum mechanics enables computational speedups and highlights the potential advantages of quantum computing in learning and optimization tasks.

Cited by 0

Quantum Information Processing

David P. DiVincenzo, Charles H. Bennett · 2001

Abstract : We have made progress on many fronts on the understanding and characterization of entanglement. Various new forms of bound (i.e. undistillable) entanglement have been introduced, as part of our work on unextendable product states. Cases of superactivation of bound entanglement, in which two different bound entangled states, when joined, produce distillable entanglement, have been established for fourparty states and have been conjectured for bipartite states. These results show that the distillable entanglement is neither additive nor convex -- this achieves one of the major three year goals of this project. An explicit formula for the entanglement of formation was found for all isotropic mixed states. We discovered and characterized remote state preparation, a generalization of quantum entanglement in which the transmitted quantum state is known to Alice. Very recently, with A. Winter, a new, more efficient protocol for RSP has been discovered. We have continued to study many ideas for the simplification of the Kane approach to quantum computing, with the replacement of electron spin for nuclear spin. Important simplifications over the currently published device designs will be possible. We have worked out a scheme for the implementation of quantum computing, building on the theory of decoherence-free subspaces, that uses only the Heisenberg exchange interaction, or only the XY interaction. We have provided detailed calculations of how g-factor engineering could be realized in III-V semiconductor heterostructures. We have shown how to ameliorate the effects of spin orbit interaction in quantum-dot qubits. We have begun master-equation modeling of superconducting qubits.

Cited by 3

Quantum information processing

Stephen M. Barnett · Oxford University Press eBooks · 2009

We have seen how information can be encoded onto a quantum system by selecting the state in which it is prepared. Retrieving the information is achieved by performing a measurement, and the optimal measurement in any given situation is usually a generalized measurement. In between preparation and measurement, the information resides in the quantum state of the system, which evolves in a manner determined by the Hamiltonian. The associated unitary transformation may usefully be viewed as quantum information processing; if we can engineer an appropriate Hamiltonian then we can use the quantum evolution to assist in performing computational tasks. Our objective in quantum information processing is to implement a desired unitary transformation. Typically this will mean coupling together a number, perhaps a large number, of qubits and thereby generating highly entangled states. It is fortunate, although by no means obvious, that we can realize any desired multiqubit unitary transformation as a product of a small selection of simple transformations and, moreover, that each of these need only act on a single qubit or on a pair of qubits. The situation is reminiscent of digital electronics, in which logic operations are decomposed into actions on a small number of bits. If we can realize and control a very large number of such operations in a single device then we have a computer. Similar control of a large number of qubits will constitute a quantum computer. It is the revolutionary potential of quantum computers, more than any other single factor, that has fuelled the recent explosion of interest in our subject. We shall examine the remarkable properties of quantum computers in the next chapter. In digital electronics, we represent bit values by voltages: the logical value 1 is a high voltage (typically +5 V) and 0 is the ground voltage (0 V). The voltage bits are coupled and manipulated by transistor-based devices, or gates. The simplest gates act on only one bit or combine two bits to generate a single new bit, the value of which is determined by the two input bits. For a single bit, with value 0 or 1, the only possible operations are the identity (which does not require a gate) and the bit flip.

Cited by 6

Quantum information processing

Briët, J. (Jop) · Data Archiving and Networked Services (DANS) · 2018

To increase computing power, computer chips get crammed with ever-growing numbers of transistors. But miniaturization makes chips vulnerable to undesirable quantum-mechanical effects that prevent them from behaving in the intended 'classical' way. Celebrated proposals of Feynman and Deutsch from the 1980s suggested that, instead of fighting these effects, we should use them to our advantage and design computers based on their principles, giving birth to the currently thriving field of quantum computing. In this talk I will introduce the basic ideas behind quantum information processing and discuss some of its most striking applications and phenomena.

Cited by 0

Quantum information processing: quantum advantage and information recovery

Gabriele Bressanini · Spiral (Imperial College London) · 2025

Quantum computing holds the promise of enabling algorithms that are beyond the reach of classical computation, hence demonstrating quantum computational advantage. However, current quantum devices face significant limitations, primarily due to the lack of error correction. In this context, the following question arises: can quantum computational advantage be demonstrated with today's noisy hardware? Recently, Gaussian boson sampling (GBS) has emerged as a leading candidate to achieve this milestone, due to its relative experimental feasibility. The first part of this thesis focuses on two central challenges associated with GBS. The first one is the impact of noise on the computational complexity of the task. Using a phase-space approach, we establish a necessary non-classicality condition that any experimental proof of quantum advantage must satisfy, and demonstrate that there exists a threshold temperature at which quantum sampling experiments become classically simulable. We then investigate the possibility of introducing higher-order non-linearities as a mean to enhance the protocol’s robustness against noise. Then, we turn our attention to the problem of validating a GBS experiment, and propose the use binned-detector probability distributions as a suitable quantity to perform efficient statistical validation. In the second part of the thesis, we present a novel approach to protect a quantum observable from a given noise model.We start by introducing the concept of quantum observables over time, an operator that jointly describes two observables at two distinct time points, and use the latter to establish a notion of time-reversal for non-unitary quantum channels with respect to a reference observable, enabling the systematic construction of recovery maps that preserve the latter. These recovery maps, although generally non-physical, can still be used in noiseless expectation value estimation tasks and can achieve optimal performance in terms of sampling overhead, outperforming known error mitigation protocols.

Cited by 0Open access

Silicon Quantum Information Processing

Douglas J. Paul · Defense Technical Information Center (DTIC) · 2005

The initial aim of the programme was to demonstrate three qubits using Na donors in Si MOSFETs by the end of the programme. The initial objectives can be summarised as follows:- 2.1 Fabricate a single electron transistor using AFM lithography on the gate of a MOSFET. This is the 2.2 Fabricate a MOSFET with a determined number 2.3 Fabricate and detect the positioning of a single Na+ ion in a predetermined position to allow 2.4 Measure the T2 decoherence time for Na in Si using the temperature dependence of the impurity 2.5 Provide a model for the Na donor fabrication.

Cited by 0

Hybrid quantum information processing

Akira Furusawa · The Rochester Conferences on Coherence and Quantum Optics and the Quantum Information and Measurement meeting · 2013

I will briefly explain the definition and advantage of hybrid quantum information processing, which is hybridization of qubit and continuous-variable technologies. The final goal would be realization of universal gate sets both for qubit and continuous-variable quantum information processing with the hybrid technologies. For that purpose, qubit teleportation with a continuous-variable teleporter is one of the most important ingredients.

Cited by 1

Hybrid Quantum Information Processing

Prof. Akira Furusawa, Peter van Loock · 2011

This chapter contains sections titled: How to Create Non-Gaussian States, Cat States Experiment: Creation of Non-Gaussian States, Cat States Hybrid Entanglement Hybrid Quantum Teleportation Hybrid Quantum Computing

Cited by 0

Why Quantum Information Processing

Hoi‐Kwong Lo · ArXiv.org · 2003

In this brief note, I will consider the following questions: (1) What is QIP? (2) Why QIP is interesting? (3) What QIP can do? (4) What QIP cannot do? (5) What are the major challenges in QIP?

Cited by 0Open access

Hybrid quantum information processing

Andersen, Ulrik L., Neergaard-Nielsen, Jonas S., van Loock, Peter et al. · arXiv (Cornell University) · 2014

The development of quantum information processing has traditionally followed two separate and not immediately connected lines of study. The main line has focused on the implementation of quantum bit (qubit) based protocols whereas the other line has been devoted to implementations based on high-dimensional Gaussian states (such as coherent and squeezed states). The separation has been driven by the experimental difficulty in interconnecting the standard technologies of the two lines. However, in recent years, there has been a significant experimental progress in refining and connecting the technologies of the two fields which has resulted in the development and experimental realization of numerous new hybrid protocols. In this Review, we summarize these recent efforts on hybridizing the two types of schemes based on discrete and continuous variables.

Cited by 1Open access

Intelligent Quantum Information Processing

Pampa Debnath, Arpan Deyasi, Siddhartha Bhattacharyya · 2024

The advent of quantum computing platforms has aroused a great deal of enthusiasm among information scientists to use them to their advantage. Be it evolving efficient quantum computing hardware or be it designing efficient quantum algorithms, information scientists are embarking on every possible avenue to add value to the existing information systems through the use of quantum computing principles and practices. The quantum computing paradigm, being characterized by the inherent features of interference, superposition, entanglement, decoherence, and measurement, offers efficient, secured, and robust solutions to challenging real-life problems. Efforts are, therefore, continually invested to envisage efficient information systems and devices inspired by quantum computing principles.

Cited by 0