Quantum logic gate

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In quantum computing and specifically the quantum circuit model of computation, a quantum logic gate (or simply quantum gate) is a basic quantum circuit operating on a small number of qubits. They are the building blocks of quantum circuits, like classical logic gates are for conventional digital circuits.

Unlike many classical logic gates, quantum logic gates are reversible. It is possible to perform classical computing using only reversible gates. For example, the reversible Toffoli gate can implement all Boolean functions, often at the cost of having to use ancilla bits. The Toffoli gate has a direct quantum equivalent, showing that quantum circuits can perform all operations performed by classical circuits.

Quantum gates are unitary operators, and are described as unitary matrices relative to some basis. Usually we use the computational basis, which unless we compare it with something, just means that for a d-level quantum system (such as a qubit, a quantum register, or qutrits and qudits[1]: 22–23 ) we have labeled the orthogonal basis vectors , or use binary notation.

Common quantum logic gates by name (including abbreviation), circuit form(s) and the corresponding unitary matrices.

HistoryEdit

 
A quantum full adder, given by Feynman in 1986.[2] It consists of only Toffoli and CNOT gates. The gate that is surrounded by the dotted square in this picture can be omitted if uncomputation to restore the B output is not required.

The current notation for quantum gates was developed by many of the founders of quantum information science including Adriano Barenco, Charles Bennett, Richard Cleve, David P. DiVincenzo, Norman Margolus, Peter Shor, Tycho Sleator, John A. Smolin, and Harald Weinfurter,[3] building on notation introduced by Richard Feynman in 1986.[2]

RepresentationEdit

 
Single qubit states that are not entangled and lack global phase can be represented as points on the surface of the Bloch sphere, written as  
Rotations about the x, y, z axes of the Bloch sphere are represented by the rotation operator gates.

Quantum logic gates are represented by unitary matrices. A gate which acts on   qubits is represented by a   unitary matrix, and the set of all such gates with the group operation of matrix multiplication[a] is the symmetry group U(2n).[3] The quantum states that the gates act upon are unit vectors in   complex dimensions, with the complex Euclidean norm (the 2-norm).[4]: 66 [5]: 56, 65  The basis vectors (sometimes called eigenstates) are the possible outcomes if measured, and a quantum state is a linear combination of these outcomes. The most common quantum gates operate on vector spaces of one or two qubits, just like the common classical logic gates operate on one or two bits.

Even though the quantum logic gates belong to continuous symmetry groups, real hardware is inexact and thus limited in precision. The application of gates typically introduces errors, and the quantum states fidelities decreases over time. If error correction is used, the usable gates are further restricted to a finite set.[4]: ch. 10 [1]: ch. 14  Later in this article, this is sometimes ignored as the focus is on the quantum gates' mathematical properties.

Quantum states are typically represented by "kets", from a notation known as bra-ket.

The vector representation of a single qubit is

 

Here,   and   are the complex probability amplitudes of the qubit. These values determine the probability of measuring a 0 or a 1, when measuring the state of the qubit. See measurement below for details.

The value zero is represented by the ket  , and the value one is represented by the ket  .

The tensor product (or Kronecker product) is used to combine quantum states. The combined state for a qubit register is the tensor product of the constituent qubits. The tensor product is denoted by the symbol  .

The vector representation of two qubits is:[6]

 

The action of the gate on a specific quantum state is found by multiplying the vector   which represents the state by the matrix   representing the gate. The result is a new quantum state  :

 

Notable examplesEdit

There exists an uncountably infinite number of gates. Some of them have been named by various authors,[3][1][4][5][7][8][9] and below follow some of those most often used in the literature.

Identity gateEdit

The identity gate is the identity matrix, usually written as I, and is defined for a single qubit as

 

where I is basis independent and does not modify the quantum state. The identity gate is most useful when describing mathematically the result of various gate operations or when discussing multi-qubit circuits.

Pauli gates (X,Y,Z)Edit

Quantum gates (from top to bottom): Identity gate, NOT gate, Pauli Y, Pauli Z

The Pauli gates   are the three Pauli matrices   and act on a single qubit. The Pauli X, Y and Z equate, respectively, to a rotation around the x, y and z axes of the Bloch sphere by   radians.[b]

The Pauli-X gate is the quantum equivalent of the NOT gate for classical computers with respect to the standard basis  ,  , which distinguishes the z axis on the Bloch sphere. It is sometimes called a bit-flip as it maps   to   and   to  . Similarly, the Pauli-Y maps   to   and   to  . Pauli Z leaves the basis state   unchanged and maps   to  . Due to this nature, Pauli Z is sometimes called phase-flip.

These matrices are usually represented as

 
 
 

The Pauli matrices are involutory, meaning that the square of a Pauli matrix is the identity matrix.

 

The Pauli matrices also anti-commute, for example   .

Controlled gatesEdit

 
Circuit representation of controlled-U gate

Controlled gates act on 2 or more qubits, where one or more qubits act as a control for some operation.[3] For example, the controlled NOT gate (or CNOT or CX) acts on 2 qubits, and performs the NOT operation on the second qubit only when the first qubit is  , and otherwise leaves it unchanged. With respect to the basis  ,  ,  ,  , it is represented by the Hermitian unitary matrix:

 

The CNOT (or controlled Pauli-X) gate can be described as the gate that maps the basis states  , where   is XOR.

The CNOT can be expressed in the Pauli basis as:

 

Being a Hermitian unitary operator, CNOT has the property   and  , and is involutory.

More generally if U is a gate that operates on a single qubit with matrix representation

 

then the controlled-U gate is a gate that operates on two qubits in such a way that the first qubit serves as a control. It maps the basis states as follows.

Circuit diagrams of controlled Pauli gates (from left to right): CNOT (or controlled-X), controlled-Y and controlled-Z.
 
 
 
 

The matrix representing the controlled U is

 

When U is one of the Pauli operators, X,Y, Z, the respective terms "controlled-X", "controlled-Y", or "controlled-Z" are sometimes used.[4]: 177–185  Sometimes this is shortened to just CX, CY and CZ.

In general, any single qubit unitary gate can be expressed as  , where H is a Hermitian matrix, and then the controlled U is  

Control can be extended to gates with arbitrary number of qubits[3] and functions in programming languages.[10] Functions can be conditioned on superposition states.[11][12]

Classical controlEdit

 
Example: The qubit   is measured, and the result of this measurement is a Boolean value which is consumed by the classical computer. If   measures to 1, then the classical computer tells the quantum computer to apply the U gate on  .
In circuit diagrams, single lines are qubits, and doubled lines are bits.

Gates can also be controlled by classical logic. A quantum computer is controlled by a classical computer, and behave like a coprocessor that receives instructions from the classical computer about what gates to execute on which qubits.[13]: 42–43 [14] Classical control is simply the inclusion, or omission, of gates in the instruction sequence for the quantum computer.[4]: 26–28 [1]: 87–88 

Phase shift gatesEdit

The phase shift is a family of single-qubit gates that map the basis states   and  . The probability of measuring a   or   is unchanged after applying this gate, however it modifies the phase of the quantum state. This is equivalent to tracing a horizontal circle (a line of latitude), or a rotation along the z-axis on the Bloch sphere by   radians. The phase shift gate is represented by the matrix:

 

where   is the phase shift with the period . Some common examples are the T gate where   (historically known as the   gate), the phase gate (also known as the S gate, written as S, though S is sometimes used for SWAP gates) where   and the Pauli-Z gate where  .

The phase shift gates are related to each other as follows:

 
 
 

Note that the phase gate   is not Hermitian (except for  [c]). These gates are different from their Hermitian conjugates:  . The two adjoint (or conjugate transpose) gates   and   are sometimes included in instruction sets.[15][16] The phase gate is skew-Hermitian.

Hadamard gateEdit

The Hadamard gate (French: [adamaʁ]) acts on a single qubit. It maps the basis states   and   (it creates an equal superposition state if given a computational basis state). The two states   and   are sometimes written   and   respectively. The Hadamard gate performs a rotation of   about the axis   at the Bloch sphere. It is represented by the Hadamard matrix:

 
Circuit representation of Hadamard gate
 

If the Hermitian (so  ) Hadamard gate is used to perform a change of basis, it flips   and  . For example,  ,  .

Swap gateEdit

 
Circuit representation of SWAP gate

The swap gate swaps two qubits. With respect to the basis  ,  ,  ,  , it is represented by the matrix:

 

The swap gate can be decomposed into summation form:

 

Toffoli (CCNOT) gateEdit

 
Circuit representation of Toffoli gate

The Toffoli gate, named after Tommaso Toffoli and also called the CCNOT gate or Deutsch gate  , is a 3-bit gate which is universal for classical computation but not for quantum computation. The quantum Toffoli gate is the same gate, defined for 3 qubits. If we limit ourselves to only accepting input qubits that are   and  , then if the first two bits are in the state   it applies a Pauli-X (or NOT) on the third bit, else it does nothing. It is an example of a CC-U (controlled-controlled Unitary) gate. Since it is the quantum analog of a classical gate, it is completely specified by its truth table. The Toffoli gate is universal when combined with the single qubit Hadamard gate.[17]

Truth table Matrix form
INPUT OUTPUT
0 0 0 0 0 0
0 0 1 0 0 1
0 1 0 0 1 0
0 1 1 0 1 1
1 0 0 1 0 0
1 0 1 1 0 1
1 1 0 1 1 1
1 1 1 1 1 0

 

The Toffoli gate is related to the classical AND ( ) and XOR ( ) operations as it performs the mapping   on states in the computational basis.

The Toffoli gate can be expressed in the Pauli basis as

 

Universal quantum gatesEdit

 
Both CNOT and   are universal two-qubit gates and can be transformed into each other.

A set of universal quantum gates is any set of gates to which any operation possible on a quantum computer can be reduced, that is, any other unitary operation can be expressed as a finite sequence of gates from the set. Technically, this is impossible with anything less than an uncountable set of gates since the number of possible quantum gates is uncountable, whereas the number of finite sequences from a finite set is countable. To solve this problem, we only require that any quantum operation can be approximated by a sequence of gates from this finite set. Moreover, for unitaries on a constant number of qubits, the Solovay–Kitaev theorem guarantees that this can be done efficiently.

The rotation operators Rx(θ), Ry(θ), Rz(θ), the phase shift gate P(φ) and CNOT form a widely used universal set of quantum gates.[18]

A common universal gate set is the Clifford + T gate set, which is composed of the CNOT, H, S and T gates. The Clifford set alone is not universal and can be efficiently simulated classically by the Gottesman–Knill theorem.

The Toffoli gate forms a set of universal gates for reversible boolean algebraic logic circuits. A two-gate set of universal quantum gates containing a Toffoli gate can be constructed by adding the Hadamard gate to the set.[17]

There also exists a single two-qubit gate sufficient for universality, given it can be applied to any pairs of qubits   on a circuit of width  .[19]

Deutsch gateEdit

A single-gate set of universal quantum gates can also be formulated using the parametrized three-qubit Deutsch gate  ,[20] named after physicist David Deutsch. It is a general case of CC-U or controlled-controlled-Unitary gate, and is defined as

 

Unfortunately, a working Deutsch gate has remained out of reach, due to lack of a protocol. There are some proposals to realize a Deutsch gate with dipole-dipole interaction in neutral atoms.[21]

A universal logic gate for reversible classical computing, the Toffoli gate, is reducible to the Deutsch gate,  , thus showing that all reversible classical logic operations can be performed on a universal quantum computer.

Circuit compositionEdit

Serially wired gatesEdit

 
Two gates Y and X in series. The order in which they appear on the wire is reversed when multiplying them together.

Assume that we have two gates A and B, that both act on   qubits. When B is put after A in a series circuit, then the effect of the two gates can be described as a single gate C.

 

Where   is matrix multiplication. The resulting gate C will have the same dimensions as A and B. The order in which the gates would appear in a circuit diagram is reversed when multiplying them together.[4]: 17–18,22–23,62–64 [5]: 147–169 

For example, putting the Pauli X gate after the Pauli Y gate, both of which act on a single qubit, can be described as a single combined gate C:

 

The product symbol ( ) is often omitted.

Exponents of quantum gatesEdit

All real exponents of unitary matrices are also unitary matrices, and all quantum gates are unitary matrices.

Positive integer exponents are equivalent to sequences of serially wired gates (e.g.  ), and the real exponents is a generalization of the series circuit. For example,   and   are both valid quantum gates.

  for any unitary matrix  . The identity matrix ( ) behaves like a NOP[22][23] and can be represented as bare wire in quantum circuits, or not shown at all.

All gates are unitary matrices, so that   and  , where   is the conjugate transpose. This means that negative exponents of gates are unitary inverses of their positively exponentiated counterparts:  . For example, some negative exponents of the phase shift gates are   and  .

Note that for a Hermitian matrix   and because of unitarity,   so   for all Hermitian gates. They are involutory. Examples of Hermitian gates are the Pauli gates, Hadamard, CNOT, SWAP and Toffoli. Hermitian unitary matrices   has the property  .

Parallel gatesEdit

 
Two gates   and   in parallel is equivalent to the gate  

The tensor product (or Kronecker product) of two quantum gates is the gate that is equal to the two gates in parallel.[4]: 71–75 [5]: 148 

If we, as in the picture, combine the Pauli-Y gate with the Pauli-X gate in parallel, then this can be written as:

 

Both the Pauli-X and the Pauli-Y gate act on a single qubit. The resulting gate   act on two qubits.

Sometimes the tensor product symbol is omitted, and indexes are used for the operators instead.[24]

Hadamard transformEdit

The gate   is the Hadamard gate ( ) applied in parallel on 2 qubits. It can be written as:

 

This "two-qubit parallel Hadamard gate" will when applied to, for example, the two-qubit zero-vector ( ), create a quantum state that have equal probability of being observed in any of its four possible outcomes;  ,  ,  , and  . We can write this operation as:

 
 
Example: The Hadamard transform on a 3-qubit register  .

Here the amplitude for each measurable state is 12. The probability to observe any state is the square of the absolute value of the measurable states amplitude, which in the above example means that there is one in four that we observe any one of the individual four cases. See measurement for details.

  performs the Hadamard transform on two qubits. Similarly the gate   performs a Hadamard transform on a register of   qubits.

When applied to a register of   qubits all initialized to  , the Hadamard transform puts the quantum register into a superposition with equal probability of being measured in any of its   possible states:

 

This state is a uniform superposition and it is generated as the first step in some search algorithms, for example in amplitude amplification and phase estimation.

Measuring this state results in a random number between   and  .[d] How random the number is depends on the fidelity of the logic gates. If not measured, it is a quantum state with equal probability amplitude   for each of its possible states.

The Hadamard transform acts on a register   with   qubits such that   as follows:

 

Application on entangled statesEdit

If two or more qubits are viewed as a single quantum state, this combined state is equal to the tensor product of the constituent qubits. Any state that can be written as a tensor product from the constituent subsystems are called separable states. On the other hand, an entangled state is any state that cannot be tensor-factorized, or in other words: An entangled state can not be written as a tensor product of its constituent qubits states. Special care must be taken when applying gates to constituent qubits that make up entangled states.

If we have a set of N qubits that are entangled and wish to apply a quantum gate on M < N qubits in the set, we will have to extend the gate to take N qubits. This application can be done by combining the gate with an identity matrix such that their tensor product becomes a gate that act on N qubits. The identity matrix ( ) is a representation of the gate that maps every state to itself (i.e., does nothing at all). In a circuit diagram the identity gate or matrix will often appear as just a bare wire.

 
The example given in the text. The Hadamard gate   only act on 1 qubit, but   is an entangled quantum state that spans 2 qubits. In our example,  

For example, the Hadamard gate ( ) acts on a single qubit, but if we feed it the first of the two qubits that constitute the entangled Bell state  , we cannot write that operation easily. We need to extend the Hadamard gate   with the identity gate   so that we can act on quantum states that span two qubits:

 

The gate   can now be applied to any two-qubit state, entangled or otherwise. The gate   will leave the second qubit untouched and apply the Hadamard transform to the first qubit. If applied to the Bell state in our example, we may write that as:

 

Computational complexity and the tensor productEdit

The time complexity for multiplying two  -matrices is at least  ,[25] if using a classical machine. Because the size of a gate that operates on   qubits is   it means that the time for simulating a step in a quantum circuit (by means of multiplying the gates) that operates on generic entangled states is  . For this reason it is believed to be intractable to simulate large entangled quantum systems using classical computers. Subsets of the gates, such as the Clifford gates, or the trivial case of circuits that only implement classical boolean functions (e.g. combinations of X, CNOT, Toffoli), can however be efficiently simulated on classical computers.

The state vector of a quantum register with   qubits is   complex entries. Storing the probability amplitudes as a list of floating point values is not tractable for large  .

Unitary inversion of gatesEdit

 
Example: The unitary inverse of the Hadamard-CNOT product. The three gates  ,   and   are their own unitary inverses.

Because all quantum logical gates are reversible, any composition of multiple gates is also reversible. All products and tensor products (i.e. series and parallel combinations) of unitary matrices are also unitary matrices. This means that it is possible to construct an inverse of all algorithms and functions, as long as they contain only gates.

Initialization, measurement, I/O and spontaneous decoherence are side effects in quantum computers. Gates however are purely functional and bijective.

If   is a unitary matrix, then   and  . The dagger ( ) denotes the conjugate transpose. It is also called the Hermitian adjoint.

If a function   is a product of   gates,  , the unitary inverse of the function   can be constructed:

Because   we have, after repeated application on itself

 

Similarly if the function   consists of two gates   and   in parallel, then   and  .

Gates that are their own unitary inverses are called Hermitian or self-adjoint operators. Some elementary gates such as the Hadamard (H) and the Pauli gates (I, X, Y, Z) are Hermitian operators, while others like the phase shift (S, T, P, CPHASE) gates generally are not. Gates that are not Hermitian are called skew-Hermitian, or adjoint operators.

For example, an algorithm for addition can be used for subtraction, if it is being "run in reverse", as its unitary inverse. The inverse quantum fourier transform is the unitary inverse. Unitary inverses can also be used for uncomputation. Programming languages for quantum computers, such as Microsoft's Q#,[10] Bernhard Ömer's QCL,[13]: 61  and IBM's Qiskit,[26] contain function inversion as programming concepts.

MeasurementEdit

 
Circuit representation of measurement. The two lines on the right hand side represent a classical bit, and the single line on the left hand side represents a qubit.

Measurement (sometimes called observation) is irreversible and therefore not a quantum gate, because it assigns the observed quantum state to a single value. Measurement takes a quantum state and projects it to one of the basis vectors, with a likelihood equal to the square of the vector's length (in the 2-norm[4]: 66 [5]: 56, 65 ) along that basis vector.[1]: 15–17 [27][28][29] This is known as the Born rule and appears[d] as a stochastic non-reversible operation as it probabilistically sets the quantum state equal to the basis vector that represents the measured state. At the instant of measurement, the state is said to "collapse" to the definite single value that was measured. Why and how, or even if[30][31] the quantum state collapses at measurement, is called the measurement problem.

The probability of measuring a value with probability amplitude   is  , where   is the modulus.

Measuring a single qubit, whose quantum state is represented by the vector  , will result in   with probability  , and in   with probability  .

For example, measuring a qubit with the quantum state   will yield with equal probability either   or  .

 
For a single qubit, we have a unit sphere in   with the quantum state   such that  . The state can be re-written as  , or   and  .
Note:   is the probability of measuring   and   is the probability of measuring  .

A quantum state   that spans n qubits can be written as a vector in   complex dimensions:  . This is because the tensor product of n qubits is a vector in   dimensions. This way, a register of n qubits can be measured to   distinct states, similar to how a register of n classical bits can hold   distinct states. Unlike with the bits of classical computers, quantum states can have non-zero probability amplitudes in multiple measurable values simultaneously. This is called superposition.

The sum of all probabilities for all outcomes must always be equal to 1.[e] Another way to say this is that the Pythagorean theorem generalized to   has that all quantum states   with n qubits must satisfy  [f] where   is the probability amplitude for measurable state  . A geometric interpretation of this is that the possible value-space of a quantum state   with n qubits is the surface of the unit sphere in   and that the unitary transforms (i.e. quantum logic gates) applied to it are rotations on the sphere. The rotations that the gates perform is in the symmetry group U(2n). Measurement is then a probabilistic projection of the points at the surface of this complex sphere onto the basis vectors that span the space (and labels the outcomes).

In many cases the space is represented as a Hilbert space   rather than some specific  -dimensional complex space. The number of dimensions (defined by the basis vectors, and thus also the possible outcomes from measurement) is then often implied by the operands, for example as the required state space for solving a problem. In Grover's algorithm, Lov named this generic basis vector set "the database".

The selection of basis vectors against to measure a quantum state will influence the outcome of the measurement.[1]: 30–35 [4]: 22, 84–85, 185–188 [32] See change of basis and Von Neumann entropy for details. In this article, we always use the computational basis, which means that we have labeled the   basis vectors of an n-qubit register  , or use the binary representation  .

In quantum mechanics, the basis vectors constitute an orthonormal basis.

An example of usage of an alternative measurement basis is in the BB84 cipher.

The effect of measurement on entangled statesEdit

 
The Hadamard-CNOT gate, which when given the input   produces a Bell state.

If two quantum states (i.e. qubits, or registers) are entangled (meaning that their combined state cannot be expressed as a tensor product), measurement of one register affects or reveals the state of the other register by partially or entirely collapsing its state too. This effect can be used for computation, and is used in many algorithms.

The Hadamard-CNOT combination acts on the zero-state as follows:

 
 
The Bell state in the text is   where   and  . Therefore, it can be described by the complex plane spanned by the basis vectors   and  , as in the picture. The unit sphere (in  ) that represent the possible value-space of the 2-qubit system intersects the plane and   lies on the unit spheres surface. Because  , there is equal probability of measuring this state to   or  , and because   there is zero probability of measuring it to   or  .

This resulting state is the Bell state  . It cannot be described as a tensor product of two qubits. There is no solution for

 

because for example w needs to be both non-zero and zero in the case of xw and yw.

The quantum state spans the two qubits. This is called entanglement. Measuring one of the two qubits that make up this Bell state will result in that the other qubit logically must have the same value, both must be the same: Either it will be found in the state  , or in the state  . If we measure one of the qubits to be for example  , then the other qubit must also be  , because their combined state became  . Measurement of one of the qubits collapses the entire quantum state, that span the two qubits.

The GHZ state is a similar entangled quantum state that spans three or more qubits.

This type of value-assignment occurs instantaneously over any distance and this has as of 2018 been experimentally verified by QUESS for distances of up to 1200 kilometers.[33][34][35] That the phenomena appears to happen instantaneously as opposed to the time it would take to traverse the distance separating the qubits at the speed of light is called the EPR paradox, and it is an open question in physics how to resolve this. Originally it was solved by giving up the assumption of local realism, but other interpretations have also emerged. For more information see the Bell test experiments. The no-communication theorem proves that this phenomenon cannot be used for faster-than-light communication of classical information.

Measurement on registers with pairwise entangled qubitsEdit

 
The effect of a unitary transform F on a register A that is in a superposition of   states and pairwise entangled with the register B. Here, n is 3 (each register has 3 qubits).

Take a register A with n qubits all initialized to  , and feed it through a parallel Hadamard gate  . Register A will then enter the state   that have equal probability of when measured to be in any of its   possible states;   to  . Take a second register B, also with n qubits initialized to   and pairwise CNOT its qubits with the qubits in register A, such that for each p the qubits   and   forms the state  .

If we now measure the qubits in register A, then register B will be found to contain the same value as A. If we however instead apply a quantum logic gate F on A and then measure, then  , where   is the unitary inverse of F.

Because of how unitary inverses of gates act,  . For example, say  , then  .

The equality will hold no matter in which order measurement is performed (on the registers A or B), assuming that F has run to completion. Measurement can even be randomly and concurrently interleaved qubit by qubit, since the measurements assignment of one qubit will limit the possible value-space from the other entangled qubits.

Even though the equalities holds, the probabilities for measuring the possible outcomes may change as a result of applying F, as may be the intent in a quantum search algorithm.

This effect of value-sharing via entanglement is used in Shor's algorithm, phase estimation and in quantum counting. Using the Fourier transform to amplify the probability amplitudes of the solution states for some problem is a generic method known as "Fourier fishing".[36]

Logic function synthesisEdit

Functions and routines that only use gates can themselves be described as matrices, just like the smaller gates. The matrix that represents a quantum function acting on   qubits has size  . For example, a function that acts on a "qubyte" (a register of 8 qubits) would be represented by a matrix with   elements.

Unitary transformations that are not in the set of gates natively available at the quantum computer (the primitive gates) can be synthesised, or approximated, by combining the available primitive gates in a circuit. One way to do this is to factor the matrix that encodes the unitary transformation into a product of tensor products (i.e. series and parallel circuits) of the available primitive gates. The group U(2q) is the symmetry group for the gates that act on   qubits.[3] Factorization is then the problem of finding a path in U(2q) from the generating set of primitive gates. The Solovay–Kitaev theorem shows that given a sufficient set of primitive gates, there exist an efficient approximate for any gate. For the general case with a large number of qubits this direct approach to circuit synthesis is intractable.[37][38]

Because the gates unitary nature, all functions must be reversible and always be bijective mappings of input to output. There must always exist a function   such that  . Functions that are not invertible can be made invertible by adding ancilla qubits to the input or the output, or both. After the function has run to completion, the ancilla qubits can then either be uncomputed or left untouched. Measuring or otherwise collapsing the quantum state of an ancilla qubit (e.g. by re-initializing the value of it, or by its spontaneous decoherence) that have not been uncomputed may result in errors,[39][40] as their state may be entangled with the qubits that are still being used in computations.

Logically irreversible operations, for example addition modulo   of two  -qubit registers a and b,  ,[g] can be made logically reversible by adding information to the output, so that the input can be computed from the output (i.e. there exist a function  ). In our example, this can be done by passing on one of the input registers to the output:  . The output can then be used to compute the input (i.e. given the output   and  , we can easily find the input;   is given and  ) and the function is made bijective.

All Boolean algebraic expressions can be encoded as unitary transforms (quantum logic gates), for example by using combinations of the Pauli-X, CNOT and Toffoli gates. These gates are functionally complete in the Boolean logic domain.

There are many unitary transforms available in the libraries of Q#, QCL, Qiskit, and other quantum programming languages. It also appears in the literature.[41][42]

For example,  , where   is the number of qubits that constitutes the register  , is implemented as the following in QCL:[43][13][12]

 
The generated circuit, when  .
The symbols  ,   and   denotes XOR, AND and NOT respectively, and comes from the Boolean representation of Pauli-X with zero or more control qubits when applied to states that are in the computational basis.
cond qufunct inc(qureg x) { // increment register
  int i;
  for i = #x-1 to 0 step -1 {
    CNot(x[i], x[0::i]);     // apply controlled-not from
  }                          // MSB to LSB
}

In QCL, decrement is done by "undoing" increment. The prefix ! is used to instead run the unitary inverse of the function. !inc(x) is the inverse of inc(x) and instead performs the operation  . The cond keyword means that the function can be conditional.[11]

In the model of computation used in this article (the quantum circuit model), a classic computer generates the gate composition for the quantum computer, and the quantum computer behaves as a coprocessor that receives instructions from the classical computer about which primitive gates to apply to which qubits.[13]: 36–43 [14] Measurement of quantum registers results in binary values that the classical computer can use in its computations. Quantum algorithms often contain both a classical and a quantum part. Unmeasured I/O (sending qubits to remote computers without collapsing their quantum states) can be used to create networks of quantum computers. Entanglement swapping can then be used to realize distributed algorithms with quantum computers that are not directly connected. Examples of distributed algorithms that only require the use of a handful of quantum logic gates is superdense coding, the quantum Byzantine agreement and the BB84 cipherkey exchange protocol.

See alsoEdit

NotesEdit

  1. ^ Matrix multiplication of quantum gates is defined as series circuits.
  2. ^ Note, here we assume a full rotation about the Bloch sphere is   radians, as opposed to the rotation operator gates where a full turn is  
  3. ^ assuming   is defined for  
  4. ^ a b If this actually is a stochastic effect depends on which interpretation of quantum mechanics that is correct (and if any interpretation can be correct). For example, De Broglie–Bohm theory and the many-worlds interpretation asserts determinism. (In the many-worlds interpretation, a quantum computer is a machine that runs programs (quantum circuits) that selects a reality where the probability of it having the solution states of a problem is large. That is, the machine more often than not ends up in a reality where it gives the correct answer. Because all outcomes are realized in separate universes according to the many-worlds interpretation, the total outcome is deterministic. This interpretation does however not change the mechanics by which the machine operates.)
  5. ^ See Probability axioms § Second axiom
  6. ^ The hypotenuse has length 1 because the probabilities sum to 1, so the quantum state vector is a unit vector.
  7. ^ The input is   qubits, but the output is just   qubits. Information erasure is not a reversible (or unitary) operation, and therefore not allowed. See also Landauer's principle.

ReferencesEdit

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SourcesEdit