Advertisement
Browse Subject Areas
?

Click through the PLOS taxonomy to find articles in your field.

For more information about PLOS Subject Areas, click here.

  • Loading metrics

Collapsing a Perfect Superposition to a Chosen Quantum State without Measurement

  • Ahmed Younes ,

    ayounes2@yahoo.com

    Affiliation Department of Mathematics and Computer Science, Faculty of Science, Alexandria University, Alexandria, Egypt

  • Mahmoud Abdel-Aty

    Affiliations University of Science and Technology, Zewail City of Science and Technology, Cairo, Egypt, Department of Mathematics, Faculty of Science, Sohag University, Sohag, Egypt

Collapsing a Perfect Superposition to a Chosen Quantum State without Measurement

  • Ahmed Younes, 
  • Mahmoud Abdel-Aty
PLOS
x

Abstract

Given a perfect superposition of states on a quantum system of qubits. We propose a fast quantum algorithm for collapsing the perfect superposition to a chosen quantum state without applying any measurements. The basic idea is to use a phase destruction mechanism. Two operators are used, the first operator applies a phase shift and a temporary entanglement to mark in the superposition, and the second operator applies selective phase shifts on the states in the superposition according to their Hamming distance with . The generated state can be used as an excellent input state for testing quantum memories and linear optics quantum computers. We make no assumptions about the used operators and applied quantum gates, but our result implies that for this purpose the number of qubits in the quantum register offers no advantage, in principle, over the obvious measurement-based feedback protocol.

Introduction

Generation of non-classical states of light compatible with atomic quantum memory has been an outstanding challenge driven by various applications in quantum information processing [1]. Various approaches to generation of single photon states compatible with atoms have been pursued [2]: single atoms in free space [3] and in high-finesse cavities [4] and atomic ensembles [5], and non-classical features such as photon antibunching and violation of classical inequalities have been demonstrated.

On the other hand, several specific quantum algorithms have been discovered (see [6] and references therein), providing “quantum speedup” with respect to their fastest classical counterparts. A quantum analog of the computational complexity theory has been developed [7][8], with the introduction of complexity classes of easy and hard problems, the notion of difficulty being now with respect to the number of required operations on a quantum, instead of classical, computer. A new formulation of monotonically convergent algorithms which allows to optimize both the control duration and the field influence has been presented [9]. They apply this algorithm to the control of spin systems in Nuclear Magnetic Resonance and show how to implement CNOT gates in systems of two and four coupled spins. Also, a new formulation of quantum algorithm which allows to distribute amplitudes over two copies of small quantum subsystems has been proposed [10], where a standard algorithm designs a new method of a fixed number of copies and applied to the control of multi-qubit system.

The problem of how to perform quantum operations on a perfect superposition state containing a multi-qubit plays a fundamental role in obtaining a certain quantum state without applying any measurements. Our approach for detecting quantum state is based on the possibility of applying the phase shifts operators which based on Hamming Distance. Here we provide new tools for the building-up of unitary transformations from simple gates. To do that, we consider a given quantum system of qubits in a perfect superposition, (1)such that , i.e. applying measurement on gives any with equal probability . It is required to make , where is some global phase shift, for a certain chosen such that , i.e. the probability of is certainty instead of without applying any measurements.

We begin in Sec. 2, by showing that it is possible to obtain an improvement for the simple case by presenting the elementary operations, i.e. the basic gates used in the proposed algorithm, gates acting on a the qubits. In Sec. 3 we show that, if we allow the application of some phase operators on a superposition of multi-qubit state, rather than an incoherent mixture, it is possible to obtain a perfect quantum state. Then, in Sec. 4, we show that there are deep connections between the proposed algorithm and quantum unsolved problems for post-processing and we conclude in Sec. 5. See Table 1 for a list of symbols and their definitions.

Discussion

In this section, the basic gates used in the proposed algorithm will be defined [11]. Some gates are acting on a single qubit of the system. Some gates are acting on the qubit register and other gates are acting on the qubit register.

Three gates acting on single qubits will be used, negation gate , phase shift gate , and a square root of not with a global phase shift gate . The first quantum gate that performs similarly to the classical gate, i.e. it inverts to and to . The phase shift operator is used to apply a phase shift of -1 on the amplitude of the state and leaves the amplitude of with no change.

Such operation will be used to apply a phase shift of on a subspace of the system entangled with state as follows, (2)where is the identity operator, and are sub-systems entangled with and respectively.

The gate is a quantum gate that performs a square root of not with a global phase shift. Applying the gate on a qubit in state or will produce a qubit in a perfect superposition with some phase shift. Applying gate twice produces the negation of the original input with some global phase shift. The effect of applying gate on a single qubit can be understood as follows, (3)where is the bitwise-XOR of and , and . Applying twice gives the following, (4)

In general, the effect of applying gate on -qubit quantum register can be understood as follows, (5)where is the summation of the bitwise-XOR of and . Applying twice gives, (6)

In the literature, there are two ways used to mark certain states in a superposition. One way is to conditionally apply certain phase shifts on the marked states [12] and the other way is to entangle the required states with certain state of an extra working qubit [13]. An operator is used in both cases to recognize the state(s) to be marked, where is a Boolean function evaluates according to the following, (7)

For short, will be written as in the following sections. To mark a state using a phase shift of , an operator of the following effect has been used, (8)and to mark a state by entanglement, an operator of the following effect has been used, (9)

In the proposed algorithm, a combination of both methods will be used where an operator of the form is used, where has the following effect, (10)

Using Taylor's expansion, can be re-written as [14], (11)

The effect of applying the operator on a superposition of qubit register can be understood as follows, (12)

The operator is an operator used to apply specific phase shifts on the states included in the superposition based on the Hamming distance between these states and a given state . The operator applies phase shifts according to the following rule, (13)where and is the Hamming distance between and where and are vectors of length .

To construct , for a given , choose the corresponding row/column for that state from Table 2 and insert these values as the diagonal in a zero elements matrix. For example, if , then the corresponding matrix is, (14)

thumbnail
Table 2. Table of phase shifts based on Hamming Distance for 3-qubit states.

https://doi.org/10.1371/journal.pone.0103612.t002

To simplify the construction of , instead of choosing the appropriate row/column from Table 2. The same construction can be done as follows, (15)where is the bit representation of , and is the bitwise negation operator. For example, if , then, (16)

Method and Algorithm

Given a superposition of qubits and a state . It is required to make the superposition collapse to without applying any measurement. The operations of the algorithm is applied as follows,(17)

Let be a quantum register of qubits, where the first qubits are in a superposition and the last qubit is initialized to state , (18)

The steps of the algorithm are as follows:

  • 1-Apply taking . (19)where if and otherwise. Then the system can be re-written as follows, (20)
  • 2- Apply . (21)
  • 3- Apply taking . (22)
  • 4- Apply . (23)where . The system can be re-written as, (24)
  • 5- Apply gate on each of the first qubits as shown in Eqn. 6.(25)

Results

The above algorithm can be used in quantum storage protocols based on photon echo techniques which rely on the reversible absorption of a single photon pulse in an inhomogeneously broadened media [15]. After absorption, the single photon state is mapped onto a single collective atomic excitation at the optical transition,(26)

In Eq. (26), we denote by the detuning of atom i with respect to the central frequency of the photon and the position of atom . This collective state rapidly dephases, since each term acquires a phase . The goal of the quantum memory protocols is to engineer the atomic system such that this inhomogeneous dephasing can be reversed. If this rephasing can be implemented, the light is re-emitted in a well defined spatio-temporal mode when the atoms are all in phase again, as a result of a collective interference between all the emitters. The rephasing of the dipoles can be triggered by optical pulses, as it is the case in traditional photon echo techniques. These techniques, while very successful to store classical light [16] and as a tool for high resolution spectroscopy [17], suffer from strong limitations for the storage of single photons.

Conclusion

We want to end with a summary and a discussion of a number of open questions related to the proposed algorithm and its possible applications to problems beyond the quantum memory. The underlying idea of the proposed algorithm is very general and consists of employing Hamming distance to transform the superposition state into a specific quantum state. The crucial advantage is that any required quantum state can now be exactly created using these simple operations. Novel type of applications can be formed in quantum storage protocols based on photon echo techniques. Also, because the dynamical model used here can be equally realized in multi-qubit models, an exponential propagation of quantum excitation along a large number of qubits is in principle possible.

Author Contributions

Conceived and designed the experiments: AY. Performed the experiments: AY. Analyzed the data: AY MA. Contributed reagents/materials/analysis tools: AY MA. Contributed to the writing of the manuscript: AY MA.

References

  1. 1. Bao XH, Reingruber A, Dietrich P, Rui J, Duck A, et al. (2012) Efficient and long-lived quantum memory with cold atoms inside a ring cavity. Nature Physics 8: 517–521.
  2. 2. Neergaard-Nielsen JS, Nielsen BM, Hettich C, Moelmer K, Polzik ES (2006) Generation of a superposition of odd photon number states for quantum information networks. Physical Review Letters 98: 083604–083608.
  3. 3. Darquié B, Jones MPA, Dingjan J, Beugnon J, Bergamini S, et al. (2005) Controlled single-photon emission from a single trapped two-level atom. Science 309: 454–456.
  4. 4. Kuhn A, Hennrich M, Rempe G (2002) Deterministic single-photon source for distributed quantum networking. Physical Review Letters 89: 067901–067904.
  5. 5. Chanelière T, Matsukevich DN, Jenkins SD, Lan SY, Kennedy TAB, et al. (2005) Storage and retrieval of single photons transmitted between remote quantum memories. Nature 438: 833–836.
  6. 6. Bapst V, Foini L, Krzakala F, Semerjian G, Zamponi F (2013) The quantum adiabatic algorithm applied to random optimization problems: the quantum spin glass perspective. Physics Reports 523: 127–178.
  7. 7. Shor P (1994) Algorithms for quantum computation: discrete logarithms and factoring. In: Proceedings of the 35th Annual Symposium on Foundations of Computer Science. p. 124.
  8. 8. Kitaev A, Shen A, Vyalyi M (2002) Classical and quantum computation. AMS, Providence.
  9. 9. Lapert M, Salomon J, Sugny D (2012) Time-optimal monotonically convergent algorithm with an application to the control of spin systems. Physical Review A 85: 033406–033411.
  10. 10. Younes A, Abdel-Aty M (2013) Amplitudes distribution over two copies of small quantum subsystems. Quantum Information Processing 12: 2977–2991.
  11. 11. Barenco A, Bennett CH, Cleve R, DiVincenzo DP, Margolus N, et al. (1995) Elementary gates for quantum computation. Physical Review A 52: 3457–3467.
  12. 12. Grover L (1996) A fast quantum mechanical algorithm for database search. In: Proceedings of the 28th Annual ACM Symposium on the Theory of Computing. pp. 212–219.
  13. 13. Younes A, Rowe J, Miller J (2007) Enhanced quantum searching via entanglement and partial diffusion. Physica D 237: 1074–1078.
  14. 14. Nielsen MA, Chuang IL (2000) Quantum Computation and Quantum Information. Cambridge University Press.
  15. 15. Han Y, He B, Heshami K, Li CZ, Simon C (2010) Quantum repeaters based on atomic ensembles and linear optics. Review of Modern Physics 83: 1–52.
  16. 16. Lin H, Wang T, Mossberg TW (1995) Demonstration of 8-gbit/in.2 areal storage density based on swept-carrier frequency-selective optical memory. Optics Letters 20: 1658–1662.
  17. 17. Macfarlane RM (2002) High-resolution laser spectroscopy of rare-earth doped insulators: a personal perspective. Journal of Luminescence 100: 1–20.