The one-way quantum computer, also known as measurement-based quantum computer (MBQC), is a method of quantum computing that first prepares an entangled resource state, usually a cluster state or graph state, then performs single qubit measurements on it. It is "one-way" because the resource state is destroyed by the measurements.

The measurement-based techniques consist of entangling a cluster of qubits and performing a set of measurements. Thanks to the correlation between the entangled qubits, the flow of information (from left to right) is carried on by the measurements on the physical qubits in the cluster.

The outcome of each individual measurement is random, but they are related in such a way that the computation always succeeds. In general, the choices of basis for later measurements need to depend on the results of earlier measurements, and hence the measurements cannot all be performed at the same time.

The implementation of MBQC is mainly considered for photonic devices,[1] due to the difficulty of entangling photons without measurements, and the simplicity of creating and measuring them. However, MBQC is also possible with matter-based qubits.[2] The process of entanglement and measurement can be described with the help of graph tools and group theory, in particular by the elements from the stabilizer group.

Definition

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The purpose of quantum computing focuses on building an information theory with the features of quantum mechanics: instead of encoding a binary unit of information (bit), which can be switched to 1 or 0, a quantum binary unit of information (qubit) can simultaneously turn to be 0 and 1 at the same time, thanks to the phenomenon called superposition.[3][4][5] Another key feature for quantum computing relies on the entanglement between the qubits.[6][7][8]

 
A quantum circuit implementing the Bernstein-Vazirani algorithm:   and   represent the logic gates (unitary operators) which act on the register of qubits. In the MBQC frame, the logic gates are performed by entangling the qubits and measuring the auxiliary ones.

In the quantum logic gate model, a set of qubits, called register, is prepared at the beginning of the computation, then a set of logic operations over the qubits, carried by unitary operators, is implemented.[9][10] A quantum circuit is formed by a register of qubits on which unitary transformations are applied over the qubits. In the measurement-based quantum computation, instead of implementing a logic operation via unitary transformations, the same operation is executed by entangling a number   of input qubits with a cluster of   ancillary qubits, forming an overall source state of   qubits, and then measuring a number   of them.[11][12] The remaining   output qubits will be affected by the measurements because of the entanglement with the measured qubits. The one-way computer has been proved to be a universal quantum computer, which means it can reproduce any unitary operation over an arbitrary number of qubits.[9][13][14][15]

General procedure

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The standard process of measurement-based quantum computing consists of three steps:[16][17] entangle the qubits, measure the ancillae (auxiliary qubits) and correct the outputs. In the first step, the qubits are entangled in order to prepare the source state. In the second step, the ancillae are measured, affecting the state of the output qubits. However, the measurement outputs are non-deterministic result, due to undetermined nature of quantum mechanics:[17] in order to carry on the computation in a deterministic way, some correction operators, called byproducts, are introduced.

Preparing the source state

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The CZ operation in the circuit diagrams.

At the beginning of the computation, the qubits can be distinguished into two categories: the input and the ancillary qubits. The inputs represent the qubits set in a generic   state, on which some unitary transformations are to be acted. In order to prepare the source state, all the ancillary qubits must be prepared in the   state:[11][18]

 

where   and   are the quantum encoding for the classical   and   bits:

 .

A register with   qubits will be therefore set as  . Thereafter, the entanglement between two qubits can be performed by applying a (Controlled)   gate operation.[19] The matrix representation of such two-qubits operator is given by

 

The action of a   gate over two qubits can be described by the following system:

 

When applying a   gate over two ancillae in the   state, the overall state

 

turns to be an entangled pair of qubits. When entangling two ancillae, no importance is given about which is the control qubit and which one the target, as far as the outcome turns to be the same. Similarly, as the   gates are represented in a diagonal form, they all commute each other, and no importance is given about which qubits to entangle first.

Photons are the most common qubit system that is used in the context of one-way quantum computing.[20][21][22] However, deterministic   gates between photons are difficult to realize. Therefore, probabilistic entangling gates such as Bell state measurements are typically considered.[23] Furthermore, quantum emitters such as atoms[24] or quantum dots[25] can be used to create deterministic entanglement between photonic qubits.[26]

Measuring the qubits

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Implementation of X and Z gates over two qubits in the circuit diagrams.

The process of measurement over a single-particle state can be described by projecting the state on the eigenvector of an observable. Consider an observable   with two possible eigenvectors, say   and  , and suppose to deal with a multi-particle quantum system  . Measuring the  -th qubit by the   observable means to project the   state over the eigenvectors of  :[18]

 .

The actual state of the  -th qubit is now  , which can turn to be   or  , depending on the outcome from the measurement (which is probabilistic in quantum mechanics). The measurement projection can be performed over the eigenstates of the   observable:

 ,

where   and   belong to the Pauli matrices. The eigenvectors of   are  . Measuring a qubit on the  -  plane, i.e. by the   observable, means to project it over   or  . In the one-way quantum computing, once a qubit has been measured, there is no way to recycle it in the flow of computation. Therefore, instead of using the   notation, it is common to find   to indicate a projective measurement over the  -th qubit.

Correcting the output

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After all the measurements have been performed, the system has been reduced to a smaller number of qubits, which form the output state of the system. Due to the probabilistic outcome of measurements, the system is not set in a deterministic way: after a measurement on the  -  plane, the output may change whether the outcome had been   or  . In order to perform a deterministic computation, some corrections must be introduced. The correction operators, or byproduct operators, are applied to the output qubits after all the measurements have been performed.[18][27] The byproduct operators which can be implemented are   and  .[28] Depending on the outcome of the measurement, a byproduct operator can be applied or not to the output state: a   correction over the  -th qubit, depending on the outcome of the measurement performed over the  -th qubit via the   observable, can be described as  , where   is set to be   if the outcome of measurement was  , otherwise is   if it was  . In the first case, no correction will occur, in the latter one a   operator will be implemented on the  -th qubit. Eventually, even though the outcome of a measurement is not deterministic in quantum mechanics, the results from measurements can be used in order to perform corrections, and carry on a deterministic computation.

CME pattern

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The Euler rotation (with respect to the XZX basis) in the MBQC computation. The lines describe the entanglement between the qubits. The first qubit corresponds to the input state  , the fifth one to the output state. The qubits from 2 to 4 are the ancillae. All the states, except for the input, are prepared in the   state. All the qubits, except for the output, are measured by the   observable with a specific angle. After the measurements have been carried on, implementing the   unitary, the   and   corrections are performed with respect to the   outcomes.

The operations of entanglement, measurement and correction can be performed in order to implement unitary gates. Such operations can be performed time by time for any logic gate in the circuit, or rather in a pattern which allocates all the entanglement operations at the beginning, the measurements in the middle and the corrections at the end of the circuit. Such pattern of computation is referred to as CME standard pattern.[16][17] In the CME formalism, the operation of entanglement between the   and   qubits is referred to as  . The measurement on the   qubit, in the  -  plane, with respect to a   angle, is defined as  . At last, the   byproduct over a   qubit, with respect to the measurement over a   qubit, is described as  , where   is set to   if the outcome is the   state,   when the outcome is  . The same notation holds for the   byproducts.

When performing a computation following the CME pattern, it may happen that two measurements   and   on the  -  plane depend one on the outcome from the other. For example, the sign in front of the angle of measurement on the  -th qubit can be flipped with respect to the measurement over the  -th qubit: in such case, the notation will be written as  , and therefore the two operations of measurement do commute each other no more. If   is set to  , no flip on the   sign will occur, otherwise (when  ) the   angle will be flipped to  . The notation   can therefore be rewritten as  .

An example: Euler rotations

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As an illustrative example, consider the Euler rotation in the   basis: such operation, in the gate model of quantum computation, is described as[29]

 ,

where   are the angles for the rotation, while   defines a global phase which is irrelevant for the computation. To perform such operation in the one-way computing frame, it is possible to implement the following CME pattern:[27][30]

 ,

where the input state   is the qubit  , all the other qubits are auxiliary ancillae and therefore have to be prepared in the   state. In the first step, the input state   must be entangled with the second qubits; in turn, the second qubit must be entangled with the third one and so on. The entangling operations   between the qubits can be performed by the   gates.

In the second place, the first and the second qubits must be measured by the   observable, which means they must be projected onto the eigenstates   of such observable. When the   is zero, the   states reduce to   ones, i.e. the eigenvectors for the   Pauli operator. The first measurement   is performed on the qubit   with a   angle, which means it has to be projected onto the   states. The second measurement   is performed with respect to the   angle, i.e. the second qubit has to be projected on the   state. However, if the outcome from the previous measurement has been  , the sign of the   angle has to be flipped, and the second qubit will be projected to the   state; if the outcome from the first measurement has been  , no flip needs to be performed. The same operations have to be repeated for the third   and the fourth   measurements, according to the respective angles and sign flips. The sign over the   angle is set to be  . Eventually the fifth qubit (the only one not to be measured) figures out to be the output state.

At last, the corrections   over the output state have to be performed via the byproduct operators. For instance, if the measurements over the second and the fourth qubits turned to be   and  , no correction will be conducted by the   operator, as  . The same result holds for a     outcome, as   and thus the squared Pauli operator   returns the identity.

As seen in such example, in the measurement-based computation model, the physical input qubit (the first one) and output qubit (the third one) may differ each other.

Equivalence between quantum circuit model and MBQC

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The one-way quantum computer allows the implementation of a circuit of unitary transformations through the operations of entanglement and measurement. At the same time, any quantum circuit can be in turn converted into a CME pattern: a technique to translate quantum circuits into a MBQC pattern of measurements has been formulated by V. Danos et al.[16][17][31]

Such conversion can be carried on by using a universal set of logic gates composed by the   and the   operators: therefore, any circuit can be decomposed into a set of   and the   gates. The   single-qubit operator is defined as follows:

 .

The   can be converted into a CME pattern as follows, with qubit 1 being the input and qubit 2 being the output:

 

which means, to implement a   operator, the input qubits   must be entangled with an ancilla qubit  , therefore the input must be measured on the  -  plane, thereafter the output qubit is corrected by the   byproduct. Once every   gate has been decomposed into the CME pattern, the operations in the overall computation will consist of   entanglements,   measurements and   corrections. In order to lead the whole flow of computation to a CME pattern, some rules are provided.

Standardization

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In order to move all the   entanglements at the beginning of the process, some rules of commutation must be pointed out:

 
 
 .

The entanglement operator   commutes with the   Pauli operators and with any other operator   acting on a qubit  , but not with the   Pauli operators acting on the  -th or  -th qubits.

Pauli simplification

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The measurement operations   commute with the corrections in the following manner:

 
 ,

where  . Such operation means that, when shifting the   corrections at the end of the pattern, some dependencies between the measurements may occur. The   operator is called signal shifting, whose action will be explained in the next paragraph. For particular   angles, some simplifications, called Pauli simplifications, can be introduced:

 
 .

Signal shifting

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The action of the signal shifting operator   can be explained through its rules of commutation:

 
 .

The   operation has to be explained: suppose to have a sequence of signals  , consisting of  , the operation   means to substitute   with   in the sequence  , which becomes  . If no   appears in the   sequence, no substitution will occur. To perform a correct CME pattern, every signal shifting operator   must be translated at the end of the pattern.

Stabilizer formalism

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When preparing the source state of entangled qubits, a graph representation can be given by the stabilizer group. The stabilizer group   is an abelian subgroup from the Pauli group  , which one can be described by its generators  .[32][33] A stabilizer state is a  -qubit state   which is a unique eigenstate for the generators   of the   stabilizer group:[19]

 

Of course,  .

 
A math graph defined by three vertices and three edges. Each vertex is connected with the other ones by an edge. In the MBQC frame, the vertices   represent the qubits, while the links between them the entanglements. In the stabilizer formalism, such graph is represented by the   generators, which all of them commute each other with.

It is therefore possible to define a   qubit graph state   as a quantum state associated with a graph, i.e. a set   whose vertices   correspond to the qubits, while the edges   represent the entanglements between the qubits themselves. The vertices can be labelled by a   index, while the edges, linking the  -th vertex to the  -th one, by two-indices labels, such as  .[34] In the stabilizer formalism, such graph structure can be encoded by the   generators of  , defined as[15][35][36]

 ,

where   stands for all the   qubits neighboring with the  -th one, i.e. the   vertices linked by a   edge with the   vertex. Each   generator commute with all the others. A graph composed by   vertices can be described by   generators from the stabilizer group:

 .

While the number of   is fixed for each   generator, the number of   may differ, with respect to the connections implemented by the edges in the graph.

The Clifford group

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The Clifford group   is composed by elements which leave invariant the elements from the Pauli's group  :[19][33][37]

 .

The Clifford group requires three generators, which can be chosen as the Hadamard gate   and the phase rotation   for the single-qubit gates, and another two-qubits gate from the   (controlled NOT gate) or the   (controlled phase gate):

 .

Consider a state   which is stabilized by a set of stabilizers  . Acting via an element   from the Clifford group on such state, the following equalities hold:[33][38]

 .

Therefore, the   operations map the   state to   and its   stabilizers to  . Such operation may give rise to different representations for the   generators of the stabilizer group.

The Gottesman–Knill theorem states that, given a set of logic gates from the Clifford group, followed by   measurements, such computation can be efficiently simulated on a classical computer in the strong sense, i.e. a computation which elaborates in a polynomial-time the probability   for a given output   from the circuit.[19][33][39][40][41]

Hardware and applications

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Topological cluster state quantum computer

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Measurement-based computation on a periodic 3D lattice cluster state can be used to implement topological quantum error correction.[42] Topological cluster state computation is closely related to Kitaev's toric code, as the 3D topological cluster state can be constructed and measured over time by a repeated sequence of gates on a 2D array.[43]

Implementations

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One-way quantum computation has been demonstrated by running the 2 qubit Grover's algorithm on a 2x2 cluster state of photons.[44][45] A linear optics quantum computer based on one-way computation has been proposed.[46]

Cluster states have also been created in optical lattices,[47] but were not used for computation as the atom qubits were too close together to measure individually.

AKLT state as a resource

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It has been shown that the (spin  ) AKLT state on a 2D honeycomb lattice can be used as a resource for MBQC.[48][49] More recently it has been shown that a spin-mixture AKLT state can be used as a resource.[50]

See also

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References

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