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J. Phys.: Condens. Matter 15 No 27 (16 July 2003) L447-L451
PII: S0953-8984(03)64964-7

LETTER TO THE EDITOR

Optically driven silicon-based quantum gates with potential for high-temperature operation

A M Stoneham, A J Fisher and P T Greenland

Department of Physics and Astronomy, University College London, Gower Street, London WC1E 6BT, UK

Email: a.stoneham@ucl.ac.uk

Received 19 June 2003
Published 27 June 2003

Abstract. We propose a new approach to constructing gates for quantum information processing, exploiting the properties of impurities in silicon. Quantum information, embodied in electron spins bound to deep donors, is coupled via optically induced electronic excitation. Gates are manipulated by magnetic fields and optical light pulses; individual gates are addressed by exploiting spatial and spectroscopic selectivity. Such quantum gates do not rely on small energy scales for operation, so might function at or near room temperature. We show the scheme can produce the classes of gates necessary to construct a universal quantum computer.

1. Introduction

Localized spins in solids have properties suitable for representing quantum information. Quantum gates require mutual coherent evolution of such states, necessitating interactions between them. Previous schemes to control interactions [1] required gate electrodes positioned near to specific highly polarizable defects which would be readily ionized except at low temperatures. The formidable fabrication requirements [2] may introduce further significant sources of decoherence. Our novel control scheme avoids electrodes. Interactions are controlled by electronic excitation [3]. One implementation embodies quantum bits (qubits) in electron spins of deep donors (A, B), not ionized at working temperatures. Typical A, B spacings should be large enough for ground-state interactions between donor spins to be small, perhaps 7-l0 nm for a deep donor like Si:Bi. Controlled optical excitation of a charge-transfer transition [4, 5] from a nearby control impurity C, possibly Er, promotes a `control' electron from C into a molecular state of A and B, analogous to the hydrogen molecular ion H2 - . In this excited state, there is an effective exchange interaction between the qubit spins. Qubit-qubit interactions are switched on by optical excitation and off by stimulated de-excitation of the control electron (see figure 1).

Figure 1

Figure 1. A schematic diagram of the quantum gate. The qubit spins are on deep donors A and B (Inline equation) with wavefunctions WA and WB. The control atom, C ( + ), is the source of a control electron. In the ground state, the control electron is in state WCG, whose wavefunction and potential well are shown schematically. In the excited state, the control electron is in a charge-transfer, molecular-like, state, WCE, which overlaps both qubit electrons. Neither the qubits nor the control electron interact significantly in the ground state, but interact causing entanglement in the excited state.

The approach has two key features. Clearly, the spins encoding the quantum information must have an acceptable lifetime. Further, there must be an electronic excited state in which the entanglement is changed significantly; we discuss here only one of a number of possibilities.

Our scheme has two major advantages. First, ground-state quantum information storage is largely separated from excited-state information control. Second, no small energy scale is involved in the gate operation: it might operate at liquid nitrogen temperatures or even near room temperature.

Table 1. Some parameter sets which produce CNOT gates and corresponding errors. Inline equation is a measure of the gate fidelity, and Inline equation a measure of how well these integers reproduce a CNOT gate. f is defined in equation (2).
M N f Inline equation Inline equation Inline equation
1584 2177 4.5 1105.84 1.6 × 10 - 6 3.2 × 10 - 7
473 624 5.87 263.89 3.9 × 10 - 6 1.1 × 10 - 6
1375 1068  - 1.333 1178.097 4.5 × 10 - 6 6.7 × 10 - 7

2. Feasibility checklist

Could this solid-state implementation satisfy DiVincenzo's [6] checklist for quantum information processing?

(i) 
Is there a well defined Hilbert space to represent the quantum information? The spin states (S =  1/2) of electrons on donors A and B provide a well defined Hilbert space. For deep donors, carrier excitation into the conduction band, and therefore out of this Hilbert space, has low probability Inline equation, where Ed is the energy of the donor level. Entanglement with the control electron is discussed below.

(ii) 
Initializing qubit states. Direct initialization `all-0' state qubits (all 1 in spin language) is impractical at room temperature for accessible magnetic fields. Feasible alternatives include magnetic (spintronic) initialization by injection of spin-polarized electrons into the material [7, 8], and polarization-selective optical pumping to drive qubits into an all-0 initial state.

(iii) 
Manipulating quantum information. For universal quantum computation, it suffices to be able to perform arbitrary single-qubit manipulations and any single non-trivial two-qubit manipulation such as a conditional NOT (CNOT) [9]. How to manipulate single qubits by combining confocal optics and magnetic resonance is already understood [10, 11]. To implement two-qubit gates control atom C is excited to a suitable state so the control electron wavefunction overlaps the qubit states of dopants A and B. For clarity we assume that the dominant interaction is exchange between control and qubit electrons, represented by effective Heisenberg (Inline equation) interactions of strengths JA and JB respectively [12]. This can be generalized at the expense of complexity. The model Hamiltonian we consider is thus

Equation (1)

Quantization is along the magnetic field B; μA and μB are magnetic moments for qubit spins A and B; μC0 is the ground-state magnetic moment of control particle C and μC its excited state magnetic moment. Ground (Inline equation) and excited (Inline equation) states are coupled by the interaction Inline equation appropriate for pulsed-laser excitation of particle C in the semiclassical approximation. In (1), the first term describes the ground state, the second term the excited state and the last term the coupling between them. In the absence of laser coupling (V =  0), ground and excited states of H are separated by a large excitation energy Inline equation (Inline equation). The three electrons have eight possible spin states so that the ground and excited states are further split into octets, so that the full spectrum has 16 states: Inline equation for the ground state and Inline equation for the excited state, where the triplet p,q,r =  {0,1} represents the spin states of qubit 1, qubit 2 and the control atom. The ground state has spin splitting due to magnetic field B; the excited states are more complex because of magnetic field and exchange interactions (JA, JB). A pulsed laser tuned to the excitation energy Inline equation (Inline equation), with pulse length Inline equation corresponding to a transform width much larger than the splittings, excites an eight-component wavepacket in the upper state. This wavepacket propagates until another laser pulse returns the system to the ground state, decoupling control and qubit electrons. The qubits are frozen into a state determined by the time interval tsep between laser pulses. We show elsewhere [13] that if the Zeeman and exchange interactions and magnetic field are related by JA = JB = J, μAB = μBB = μB and μB - μCB = fJ with

Equation (2)

where M and N are arbitrary integers then there will be no entanglement between the control and qubits after the atoms have been returned to their ground states provided tsep is chosen so that

Equation (3)

If the two qubits were unentangled before the gate operation, they will be entangled after the operation of the gate for most (not all) values of integers M and N defining the two-qubit gate. Table 1 shows that certain values of M and N produce a CNOT gate to good accuracy. This class of conditions is not unique, and there appear to be other, more general, classes of parameters that are acceptable.

(iv) 
Avoid decoherence for long enough to compute. Decoherence arises from spin-lattice relaxation, spontaneous optical emission and thermal ionization of the excited state. There are few recent measurements of spin-lattice relaxation times for deep donors in silicon at appropriate concentrations. Older data [14] imply excitation energies should be greater than the maximum phonon energy for long lifetimes, so deeper donors than Si:Bi [15] are desirable for higher-temperature operation. Even so, Si:Bi would have adequate spin-lattice relaxation times and thermal ionization rates at low temperatures, say less than 10 K. If we consider other hosts like diamond, deep donor lifetimes can be as long as milliseconds at room temperature. We shall discuss elsewhere other materials and dopants, probably better than Si:Bi, for which the same basic ideas apply. Table 2 shows how gate times depend on the laser parameters.

(v) 
Readout of the quantum information. In our scheme, a further advantage is that the control atom can be used for optical readout. Suppose the computation uses qubits 0 to n, and we can access one extra qubit labelled  - 1. Let cij be the control atom connecting qubits qi and qj. After computation, all control atoms are in state Inline equation. We arrange that q - 1 (which takes no part in the computation) is also in state Inline equation. Now tune the c - 10 laser to be resonant between the Inline equation ground state of the full system q - 1 - c - 10 - q0 and the excited Inline equation state, and operate it continuously. Rabi oscillations will occur between these two states if q0 is in the state Inline equation, and scattered photons will be observed (one may need to suppress background Rayleigh scatter). If photons are observed, q0 is in Inline equation; if not, q0 is in Inline equation. If q0 is in Inline equation, then use c01 to read q1 in exactly the same way. If, however, q0 is read to be in Inline equation, then use a single qubit operation on c01 to flip its spin (so it is in Inline equation), tune the laser for c01 to the Inline equation to Inline equation transition and look for scattered photons. Their detection shows that q1 is in state Inline equation, non-detection that q1 is in Inline equation. Continue until all the qn are read. The point is that the states Inline equation, Inline equation and Inline equation are the same in the fully interacting basis, and the computational basis (the basis used to read the qubits), and the laser transitions cannot produce spin-flips. Thus, at the expense of introducing one extra qubit, we can use the control atoms for readout.

(vi) 
Scalability. Can we link these devices to create a quantum information processor? There are two characteristic length scales. One is 5-10 nm, determined by the wavefunctions of donor and control electrons. Another is the optical wavelength, typically 1000 nm. Even with near-field optical methods, spatial resolution cannot single out one particular qubit pair. Further, excited `molecular' electronic states might involve many qubits inefficiently, rather than two qubits effectively (indeed, such many-qubit links are observed in quantum wells [16], and this paper also verifies experimentally one aspect of our proposal). Our approach takes advantage of the ease of creating disordered arrangements of deep donors. Disorder means that excitation energies will vary from one pair A, B to another, since spacings and orientations relative to the host crystallographic axes will differ. The spread of energies can be enhanced by several means, if needs be [3]. We then use spectroscopic resolution in combination with spatial resolution to control a particular pair. For reasonable architectures and energy resolutions (which we shall discuss elsewhere) it appears to be feasible to create linked groups of a few tens of qubits such that individual qubits and individual two-qubit gates can be optically controlled. Possible structures might use an ultrathin layer of silicon on a silica substrate, such as an optical fibre. Such a system permits some optimization of the excited state character by exploiting the band offset between Si and the oxide. Most of the processes to construct such a quantum information processor are available with current silicon technologies; some involve electronic excitation methods [5]. There is scope to create architectures with convenient values of design parameters like JA and JB, thus optimizing the ease of resolving and manipulating particular qubits or qubit pairs.

Table 2. Typical values for the laser parameters. Inline equation is the laser pulse duration, tsep the inter-pulse period (which is approximately the gate operating time) and B the magnetic field. Case 1 can be implemented with standard lasers; case 2 requires some laser development. J is typical of the values we expect in a device.
Inline equation (ps) tsep (ns) B (T) J (GHz)
10 30-100 0.01-1 6.6 μV  =  1.6
1 3-10 0.1-10 66 μV  =  16

3. Summary

In conclusion, we propose a quantum information processor based on electron spins of spatially disordered deep centres in silicon or silicon-compatible hosts. All key quantum information processing is done optically. The critical energies mean that operation at useful temperatures, perhaps room temperature, is possible. Most construction steps, whilst challenging, have been demonstrated by others. Processors following our approach might he made in near-future semiconductor fabrication plants.

We are grateful to Ms Roby Rodriquez, Professors G Aeppli, P Bayvel and I Boyd and Drs A H Harker and C Renner for valuable discussions. This work was done under EPSRC grants GR/S23506 and GR/M67865EP69

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