In this book chapter, we provide a tutorial introduction to one-way quantum computation and many of the techniques one can use to understand it. The techniques which are described include the stabilizer formalism and the logical Heisenberg picture. We highlight ways in which it is useful to understand one-way computation beyond simple equivalence with the quantum circuit model. We briefly review current proposals of implementations and experimental progress and summarize some recent related theoretical developments. Although the chapter is primarily didactic in focus, we include a number of new methods and observations. These include: a simpler and more compact formulation of one-way quantum computation in the stabilizer formalism; A new way of implementing unitaries diagonal in the computational basis; New results on the family of operations which may be implemented in a single round of measurements; A method for constructing compact one-way patterns by decomposing unitaries in terms of diagonal unitaries and Clifford group transformations.
In this book chapter, we provide a tutorial introduction to one-way quantum computation and many of the techniques one can use to understand it. The techniques which are described include the stabilizer formalism and the logical Heisenberg picture. We highlight ways in which it is useful to understand one-way computation beyond simple equivalence with the quantum circuit model. We briefly review current proposals of implementations and experimental progress and summarize some recent related theoretical developments. Although the chapter is primarily didactic in focus, we include a number of new methods and observations. These include: a simpler and more compact formulation of one-way quantum computation in the stabilizer formalism; A new way of implementing unitaries diagonal in the computational basis; New results on the family of operations which may be implemented in a single round of measurements; A method for constructing compact one-way patterns by decomposing unitaries in terms of diagonal unitaries and Clifford group transformations.
Abstract Quantum physics has revolutionized our understanding of information processing and enables computational speed-ups that are unattainable using classical computers. This tutorial reviews the fundamental tools of photonic quantum information processing. The basics of theoretical quantum computing are presented and the quantum circuit model as well as measurement-based models of quantum computing are introduced. Furthermore, it is shown how these concepts can be implemented experimentally using photonic qubits, where information is encoded in the photons’ polarization.
In the study of quantum computation, data is represented in terms of linear operators which form a generalized model of probability, and computations are most commonly described as products of unitary transformations, which are the transformations which preserve the quality of the data in a precise sense. This naturally leads to "unitary circuit models", which are models of computation in which unitary operators are expressed as a product of "elementary" unitary transformations. However, unitary transformations can also be effected as a composition of operations which are not all unitary themselves: the "one-way measurement model" is one such model of quantum computation. In this thesis, we examine the relationship between representations of unitary operators and decompositions of those operators in the one-way measurement model. In particular, we consider different circumstances under which a procedure in the one-way measurement model can be described as simulating a unitary circuit, by considering the combinatorial structures which are common to unitary circuits and two simple constructions of one-way based procedures. These structures lead to a characterization of the one-way measurement patterns which arise from these constructions, which can then be related to efficiently testable properties of graphs. We also consider how these characterizations provide automatic techniques for obtaining complete measurement-based decompositions, from unitary transformations which are specified by operator expressions bearing a formal resemblance to path integrals. These techniques are presented as a possible means to devise new algorithms in the one-way measurement model, independently of algorithms in the unitary circuit model.
Abstract In this chapter, we describe the circuit model of quantum computation, focusing on the initialization of a set of qubits, their unitary evolution, and final projective measurement. We outline Di Vincenzo’s criteria for constructing a functional quantum computer. We describe single-qubit gates and measurements, and we present two-qubit gates. We prove that single-qubit gates and a particular two-qubit gate, the CNOT gate, are universal for quantum computation. In the last part of the chapter, we present the Clifford group of unitary transformations that stabilize the Pauli group, and the Gottesman-Knill theorem.
In this paper we present the computational model underlying the one-way quantum computer which we introduced recently [Phys. Rev. Lett 86, 5188 (2001)]. The one-way quantum computer has the property that any quantum logic network can be simulated on it. Conversely, not all ways of quantum information processing that are possible with the one-way quantum computer can be explained within a network model. As a consequence, the temporal complexity is, for certain algorithms, lower than in networks. For example, every circuit in the Clifford group can be performed on the one-way quantum computer in a single time step.
Quantum computers are expected to have advantages over classical computers in solving a range of high impact problems, but they are highly susceptible to errors due to environmental noise. The Pauli Stabiliser formalism generalises classical error-correction methods and makes use of quantum error correction codes to protect quantum information. In this thesis, we introduce the XP stabiliser formalism, which is a generalisation of the Pauli stabiliser formalism with a number of useful applications. Quantum algorithms are typically written in terms of quantum circuits which involve a series of unitary gates followed by measurements which form the output of the computation. To implement quantum algorithms reliably, we need to perform unitary gates fault-tolerantly so that errors do not propagate in an uncontrolled way. Transversal logical operators are one way of applying unitary gates fault-tolerantly on Pauli stabiliser codes. Identifying transversal logical operators for a given Pauli stabiliser code is challenging, and existing methods have exponential complexity in one or more of the parameters of the code. Making use of the XP formalism, we present efficient algorithms which identify all transversal logical operators that are diagonal in the computational basis for any Pauli stabiliser code. We also show how to construct codes with a transversal implementation of any desired diagonal logical operator. The Pauli stabiliser formalism can also be used to efficiently represent certain quantum states, but many states of interest lie outside the formalism. In the XP formalism, a wider range of states can be represented than in the Pauli stabiliser formalism, including hypergraph states which have interesting non-local properties. The braiding of non-Abelian anyons is a proposed pathway to universal fault-tolerant quantum computation. Certain XP stabiliser codes are known to harbour non-Abelian anyons, and can be studied within the new formalism.
Non-local quantum computation (NLQC) studies how two collaborating players can implement channels on distributed systems using a single simultaneous round of quantum communication and shared entanglement. NLQC has applications in diverse areas, ranging from quantum position-verification to quantum gravity. Recently, it has been realized that the relationships among families of NLQC tasks are highly structured: many seemingly distinct tasks are related by reductions, wherein implementations of one task can be used to efficiently implement a second task. This is analogous to the notion of reduction in complexity theory, and reveals the relative hardness of NLQC tasks. In this work we continue the study of reductions among NLQC tasks. We focus on NLQC examples of the greatest interest in quantum position-verification; in particular examples involving large classical inputs and fixed-size quantum inputs, since these constitute the most feasible protocols for position-verification schemes. Within this setting, we find many new relationships among NLQC tasks. For instance, protocols for the simplest example of redirecting a quantum system based on a classical control imply protocols for controlled single qubit measurements in arbitrary bases, the controlled application of any Clifford unitary, and even the controlled application of any unitary of the form U=C1DC0 with D an arbitrary diagonal unitary and C0,C1 Clifford circuits. This implies that many feasible position-verification schemes have the same asymptotic scaling for their entanglement cost, and hence a similar level of security. Our techniques rely on ideas from gate teleportation and measurement based quantum computation, among other areas, bringing several new strategies into NLQC which may be of independent interest.