The research is supported by the Australian Research Council Centre of Excellence for Quantum Computation and Communication Technology, project number CE110001027.

1. Some Custom-built Elements
<ol>
	<li>Ring resonators 
	In this experiment, two ring resonators that split and combine beams of different frequencies are required. The design of the cavity is shown in Fig. 2.
	<ol>
		<li>Build the resonators around a hollowed cylinder of bulk aluminum. On one end, mount two flat mirrors with identical reflectivity. On the opposite end mount a maximum reflectivity curved mirror. The mirrors do not need to be glued to the cavity spacer. With careful machining of the spacer, the end-caps are enough to hold them in place.</li>
		<li>Combine the curved mirror with an O-ring and piezoelectric actuator to allow control of the cavity resonance frequency. Place the O-ring between the mirror and the cavity spacer, with the piezo behind the mirror. Compress these elements onto the cavity spacer with the end-cap to allow for fast actuation of the end mirror. The combination of O-ring compression and high-speed piezo typically allow for control bandwidths in excess of 10 kHz. 
		Note: For this example, the spacers are about 25 cm long. This length is arbitrary, although it should be chosen so that the control and probe light are not coresonant, which means that the hyperfine splitting must not be a multiple of the free-spectral-range. Due to the ring geometry, the cavity will have nondegenerate polarization modes of different finesse. The custom coated mirrors are specified to provide a cavity of finesse around 1,000 for s-polarized light, which leads to a finesse of around 100 for p-polarized light. While these experiments are typically conducted on the low-finesse mode, the setup could easily be switched to the high-finesse mode should stronger filtering of the beams be required.</li>
	</ol>
	</li>
	<li>Design of the memory cell and its housing
	<ol>
		<li>To build the memory apparatus, use a long cell containing isotopically enhanced 87Rb along with 0.5 Torr of Kr buffer gas. In the setup, the length is 20 cm. The windows of the cell are antireflection coated. This cell must be heated to around 80 &#176;C using a nonmagnetic heating wire.</li>
		<li>Encase the cell in three concentric solenoids. The two inner solenoids create the magnetic field gradients. To wind these solenoids, perform a simulation using the Biot-Savart equation. Simulate the variable-pitch solenoid that will provide a linearly varying magnetic field.</li>
		<li>Using a graphing program, print out a plot of this spiral onto a piece of paper. Wrap the paper around a PVC pipe to provide a line to follow and wind the wire onto the pipe. Note: In this setup the coils are 50 cm long, over twice the length of the gas cell, to avoid edge effects. The diameters are 6 and 10 cm, which is twice the diameter of the cell, to ensure the magnetic fields are mostly longitudinal. The gradient solenoids oppose each other so that switching between them will switch the sign of the gradient (see Fig. 3). In a typical experiment, 2-3 A of current is run through these coils and the coils are switched in 3-4 &#181;sec. 
		</li>
		<li>To optimize the switching time and stop oscillations use 200 &#937; damping resistors in series with the coils. Place these two solenoids inside the third normally wound coil that is used to provide a DC magnetic field to lift the degeneracy of the Zeeman levels. Rubidium has a shift of about 1.4 MHz/G of magnetic field 26. A typical DC field is 6 G, while the gradients would be 2 G/m.</li>
		<li>Place two layers of &#181;-metal shielding around the three magnetic coils to reduce the influence of the Earth&#39;s magnetic field on the experiment.</li>
	</ol>
	</li>
</ol>
2. Layout of the Optical Beam Path
<ol>
	<li>Use a single mode laser tuned near the rubidium D1 line at 795 nm. Monitor the frequency of the laser using a saturated absorption measurement, as shown in Figure&#160;3. Detune the frequency by about 1.5 GHz above the F=2 to F&#39;=2 transition. This will be the approximate frequency of the control beam.</li>
	<li>At the beamsplitter BS2, tap some light off the main laser to form the control beam. Shift its frequency by using the acousto-optic modulator AOM1. This AOM also allows modulation of the control beam power. To drive the AOM, pass the output of a signal source through an RF switch that is controlled by a TTL signal, and then amplify the signal before sending it into the AOM. Fine tune the control frequency, to optimize the Raman absorption for example, by changing the drive frequency of this AOM. The RF drive frequency of the AOMs in the setup is 80 MHz, but this is arbitrary.</li>
	<li>Detune the probe beam, which will be stored in the quantum memory, by 6.8 GHz from the control beam, this frequency being the hyperfine ground state splitting of 87Rb. To prepare this frequency, pass the laser through a fiber-coupled electro-optic modulator that is driven by a 6.8 GHz microwave source. This generates an array of sidebands at harmonics of 6.8 GHz, above and below the carrier frequency.</li>
	<li>To obtain a probe beam with a pure frequency, separate the +6.8 GHz light from all the other unwanted modulation sidebands. To do this, use one of the ring cavities. Lock Cavity 1 on resonance with the +6.8 GHz sideband. This frequency will then be transmitted through the resonator, while all other frequencies are reflected, thus preparing a pure frequency that will address the F=1 ground state of the rubidium atoms. The cavity may be locked using the Pound-Drever-Hall technique 27], using the light reflected from the input mirror.</li>
	<li>Tap off a part of the laser beam at BS3 and send it through AOM2 to allow fine control of the frequency and intensity of the probe beam. There are a couple of methods available to drive the AOM. For instance, use a programmable signal generator set to generate Gaussian pulses modulated at 80 MHz. Alternatively, combine a continuous 80 MHz signal with a pulse at an RF mixer to give a pulse modulated at 80 MHz. Either way, this modulated Gaussian is then amplified and sent into the AOM to give a pulse of light into a diffracted order of the AOM. 
	Note: This diffracted order will provide finely controlled pulses of light that can be stored in the memory. The amplitude of the pulses can be tuned using a combination of the AOM drive power and varying the splitting ratio of BS1. This allows reliable production of a wide range of pulse amplitudes, and in particular, allows the production of very weak pulses with mean photon numbers less than 1 23.</li>
	<li>The next stage is to recombine the probe and control beams. This could be done with a simple beamsplitter, but that would mean losing some portion of the light. If the polarization of the probe and control were orthogonal then lossless recombination could be achieved using a polarizing beam splitter, but the storage can only truly be optimized via independent control of the probe and control polarizations.
	<ol>
		<li>To achieve this, use a second, high-efficiency, impedance-matched, ring cavity. Set up a cavity so that the probe beam is transmitted through, while the control field is reflected off the output mirror. Transmission of the probe through this second resonator also provides a second layer of frequency filtering, which helps avoid problems with four-wave mixing.</li>
		<li>Lock this cavity to the frequency of the probe beam using an auxiliary locking beam (dashed line) that is injected into the reverse mode of the cavity. Tune this beam to a different frequency, polarization and spatial mode from the probe beam so that it may be detected on reflection without adversely affecting the probe beam. The reason for this effort is that it is fiendishly difficult to use the low-power, pulsed probe beam to lock the cavity. The control and probe beams are collimated before the memory cell to 7 mm and 3 mm sizes, respectively.</li>
		<li>The control field power before the memory cell is ~270 mW and probe power may be chosen from zero to a few microwatts depending on the experiment run. Using a quarter-wave plate, adjust the polarization of the combined probe and control beams to be (approximately) circular and of the same helicity. Inject them into the memory gas cell apparatus.</li>
	</ol>
	</li>
	<li>Control the timing of all the elements of the experiment using a LabVIEW program 28. A typical duty cycle would be 120 &#181;sec. Switch the heater off during the memory storage time to avoid interference with the memory operation. A typical timing sequence is shown in Figure&#160;4. When possible, switch the control beam off while the light is stored in the memory. In a warm gas cell, although the Raman transition is detuned from the excited state beyond the Doppler width, the control field can still be a significant source of decoherence in the memory due to the non-zero probability of the spontaneous Raman scattering. The Raman scattering is directly proportional to the control field power and inversely to the detuning squared. If the control field is kept on during the entire storage time, it can interact with the two lower states and destroy the coherence with the exponential rate defined by the scattering. This is explained further in the discussion section.</li>
	<li>After storage and recall, pass the probe through a filtering cell in order to strip the control field from the beam. It is possible to use a cell with a natural mixture of Rb. The 85Rb dominates and absorbs strongly at the control beam frequency, providing 60 dB of suppression. The probe beam is attenuated much less, typically 1.4 dB. Use a cell 75 mm long, heated to 140 &#176;C. A cell with isotopically enhanced 85Rb would lead to less probe absorption.</li>
	<li>The final step is the detection of the probe pulses, using a homodyne or heterodyne detection. The advantage of this detection method is that it is mode selective so some residual control light will not impact on the measurements. The echo has a (near) circular polarization that is made linear using a half-wave/quarter-wave plate combination.
	<ol>
		<li>To produce the local oscillator, tap off a part of the beam at BS4 and shift its frequency using AOM4. Store the signal from the homodyne or heterodyne setup using a fast oscilloscope, triggered to the LabVIEW&#160;control program.</li>
	</ol>
	</li>
</ol>

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The authors declare that they have no competing financial interests.

A necessary condition for high memory efficiency is a high OD [30]. The OD of &#923;-GEM is proportional to the Raman factor &#937;_c2/&#916;2, where &#937;_c is the coupling field Rabi frequency and &#916; is the Raman detuning from the excited state. The spontaneous Raman scattering rate is also proportional to the Raman factor and there is therefore a trade-off between achieving high absorption and low scattering losses. To find the optimum settings for the control field power, detuning and gas temperature we use an iterative process. The scattering losses can be mitigated to some extent by switching off the control beam during storage, after the pulse is fully absorbed. Optical depth is also affected by the internal state of the atoms. Ideally we would like to have as many atoms as possible in the F=1 hyperfine level to increase the absorption of the probe. The control beam also plays a role here as it acts to pump atoms from the F=2 to F=1 levels. This is not very efficient, due to the detuning, but the control beam is powerful and can be left on for long periods of time between pulse storage experiments. The width of the Raman line in our experiment is around 100 kHz, which is mostly a result of power broadening caused by the control field. This almost corresponds to the rate at which atoms are pumped from the F = 2 to the F = 1 hyperfine state. However there will be some population left on mf = 2 (or -2 depending on the sign of the circular polarization) of hyperfine level F = 2 due to the lack of allowed optical transitions.
The OD will also depend strongly on the temperature of the cell, which determines the number of atoms in the gas phase. We use a temperature of around 78 &#176;C, measured at the center of the cell. We noticed that in our cell, increasing the temperature beyond 85 &#176;C can result in some absorption of the control field as well as some incoherent absorption of the probe signal. The heater is switched off during the experimental run to avoid disturbing the magnetic field inside the cell.
Polarizations of both probe and control fields also play a crucial role in the absorption efficiency of the memory. The D1 transition line of 87Rb has two hyperfine excited states with a total of 8 Zeeman sublevels. In principle, the choice of identical circular polarizations for both the probe and the control fields ensures that they only interact with the excited state level mf = 2 (or -2), F&#39; = 2. The linear or elliptical polarizations of the laser fields give rise to Raman coupling via other Zeeman sublevels of F&#39; = 1, 2. This will result in broadening and asymmetry in the Raman line shape, due to the different coupling constants and ac&#160;Stark shifts of the various transitions. Unfortunately, identically circular polarized probe and control fields prepared before the memory can experience different polarization self-rotations as they propagate through the memory. This effect is more pronounced in high OD media, which we have in our experiment. This means that fine-tuning of probe and control beam polarization is needed to counteract the impact of self-rotation.
To further complicate matters, a degenerate four-wave mixing (FWM) process can sometimes be seen when working with large OD 25. This can cause amplification and consequently introduce noise to the output state of the memory. In particular, when linear polarization is used for both the control and probe beams, the FWM effect can be greatly enhanced due to the Raman excitation through multiple excited states. The conditions under which the FWM process is either enhanced or suppressed in our system are summarized in Ref 25. The impact of FWM can be mitigated by, again, fine-tuning the polarization of the probe and control beams. In this way, FWM processes can be reduced to the point that they do not add noise to the recalled light 23. With respect to FWM, it is worth noting that both cavities play an important role in suppressing the -6.8 GHz sideband generated by the Fiber-EOM that would otherwise seed the FWM process.
Both self-rotation and FWM affect the shape of the broadened Raman line. After fine-tuning, one can achieve a quite symmetric, roughly rectangular shaped absorption feature as shown in Figure&#160;5. This contrasts with the case shown in Figure&#160;7 where polarizations were chosen to demonstrate the impact of FWM. Here the Raman feature is highly asymmetric.
As mentioned previously, a natural abundance Rb cell was used to filter the control beam and pass the probe beam to the detection section. Due to the high temperature of this cell, we noticed that air currents around the cell windows cause variation in the fringe visibility of the heterodyne detection, resulting in fluctuations of the signal. This effect has been minimized by implementing the heterodyne detection immediately after the filtering cell and reducing the air currents around the cell windows using appropriate oven design. We observed a probe loss of around 30% through the filtering cell, due to Fresnel reflections from the windows and to the absorption by 87Rb atoms in the filtering cell. This loss can potentially be reduced by using antireflection coatings on the cell windows and using pure 85Rb instead of a natural mixture of Rb.
In a warm vapor cell, diffusion is one of the main limitations to the storage time. After absorbing light, atoms can diffuse out of the coherent region, thus partially erasing the stored information. Adding a buffer gas (0.5 Torr Kr, in our experiment) reduces the effect of diffusion to some extent. Too much buffer gas, however, will increase collisional broadening 31. This increases decoherence and control field absorption, which reduces the efficiency of the pumping mentioned above. Another way to reduce the effect of transverse diffusion is to increase the interaction volume by enlarging the transverse profiles of the probe and control fields. This approach will eventually be limited by inelastic collisions with the cell walls. In this case, the cell walls may be coated with antirelaxation materials 32, 33, to provide elastic collisions on the walls and therefore enhance the atomic coherence time. By minimizing the inelastic wall collision using proper wall coatings and increasing the laser beam size to almost cover the cell cross section, one would expect minimal effects from the transverse diffusion on the storage time. Longitudinal diffusion might then become the dominant decoherence effect at long storage times. Longitudinal diffusion causes the atoms to experience different magnetic field strengths during storage time that can result in reduced rephasing efficiency. One way to control longitudinal diffusion would be to use a cold atomic ensemble, such as atoms that have been cooled in a Magneto-Optic Trap (MOT). That, however, requires a whole new layer of experimental complexity involved in controlling cold atomic cloud. This is a system we are currently evaluating in our laboratory 36.

One of the outstanding challenges facing quantum information technology is the ability to build a memory for quantum states. For photonic quantum computing 1, or a quantum repeater used in a quantum key distribution system 2, this means building a memory that can store quantum states of light 3. One of the approaches taken towards this goal is to use ensembles of atoms that can be controlled in such a way as to store and then controllably release light at some later time. Numerous techniques have been developed including electromagnetically induced transparency (EIT) 4, the atomic frequency comb (AFC) 5, 6, 7, four-wave mixing (FWM) 8, Raman absorption 9, Faraday interaction 10 and photon echo techniques 11, 12, 13, 14, 13, 15, 16, 17, 18, 19.
The focus of this paper is &#923; - Gradient Echo Memory (&#923; -GEM), which works using three-level &#39;&#923;&#39; structured atomic media. It was initially implemented in a warm Rb vapor cell in 2008 20. This scheme has been used as a random access memory for light pulses, 21, has a demonstrated efficiency as high as 87% 22, provides noiseless storage of quantum states 23 and shows some promise as a platform for nonlinear optical operations 24. We have also recently published a paper that goes into some detail about the interaction of this memory with warm atomic vapor 25.
The essence of the technique is that we prepare an ensemble of atoms that is inhomogeneously broadened so that the atoms will absorb a pulse of light. In our experiment we use Raman absorption, as shown in Figure&#160;1a. The probe light, which is to be stored, will be mapped onto the coherence between two ground states of the atoms. The broadening is provided by applying a magnetic field gradient along the direction of optical propagation, inducing a spatial gradient in the Raman absorption frequencies, as shown in Figure 1b. The different frequency components of the stored pulse are thus mapped to different spatial locations linearly along the length of the atomic ensemble. In other words, the spatial profile of the atomic spin wave that is generated by the absorption of the input pulse is proportional to the Fourier transform of the temporal profile of the input pulse. As we will outline later, it is this frequency gradient that also enables some of the interesting spectral processing capabilities of this memory. By reversing the field gradient, the evolution of the coherence of the atomic ensemble can be time-reversed. This allows for the retrieval of the pulse of light.

<table border="0" cellpadding="0" cellspacing="0" width="596">
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		<col />
		<col />
		<col />
	</colgroup>
	<tbody>
		<tr height="42">
			<td height="42" style="height:42px;width:216px;">Titanium-sapphire laser</td>
			<td style="width:95px;">M Squared Lasers</td>
			<td style="width:119px;"></td>
			<td style="width:167px;">SolsTiS</td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;width:216px;">Digital oscilloscope</td>
			<td style="width:95px;">Lecroy</td>
			<td style="width:119px;"></td>
			<td>WaveRunner 44Xi-A</td>
		</tr>
		<tr height="42">
			<td height="42" style="height:42px;width:216px;">Memory cell</td>
			<td style="width:95px;">Triad Technology</td>
			<td style="width:119px;"></td>
			<td>20 cm long, 87Rb enhanced, 0.5 Torr Kr buffer gas, AR-coated</td>
		</tr>
		<tr height="63">
			<td height="63" style="height:63px;width:216px;">Filter cell</td>
			<td style="width:95px;">Triad Technology</td>
			<td style="width:119px;"></td>
			<td style="width:167px;">7.5 cm long, natural mixture Rb, no buffer gas</td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;width:216px;">Fiber EOM</td>
			<td style="width:95px;">EOSPACE</td>
			<td style="width:119px;"></td>
			<td>PM-0K5-10-PFA-UL</td>
		</tr>
		<tr height="42">
			<td height="42" style="height:42px;width:216px;">AOM</td>
			<td style="width:95px;">AA Opto-Electronic</td>
			<td style="width:119px;"></td>
			<td>MT80-A1-IR</td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;width:216px;">AOM drive components</td>
			<td style="width:95px;">Minicircuits</td>
			<td style="width:119px;"></td>
			<td>Amplifier ZHL-1-2W</td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;width:216px;"></td>
			<td style="width:95px;">Minicircuits</td>
			<td style="width:119px;"></td>
			<td>Mixer ZAD-6</td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;width:216px;"></td>
			<td style="width:95px;">Agilent</td>
			<td style="width:119px;"></td>
			<td>80 MHz signal source 33250A</td>
		</tr>
		<tr height="189">
			<td height="189" style="height:189px;width:216px;">Cavities</td>
			<td style="width:95px;"></td>
			<td style="width:119px;"></td>
			<td style="width:167px;">Custom made triangular ring cavity. FSR = 600 MHz, Finesse = 100. 
			Flat mirrors (for input and output) IBS coating by Advanced Thin Films. Back mirror is 1 m ROC 
			Newport Supermirror (R&#62;99.97%)</td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;width:216px;">Photodiodes</td>
			<td style="width:95px;">Hamamatsu</td>
			<td style="width:119px;"></td>
			<td>S3883</td>
		</tr>
		<tr height="63">
			<td height="63" style="height:63px;width:216px;">Current Switches</td>
			<td style="width:95px;">Electronic Design and Research</td>
			<td style="width:119px;"></td>
			<td>EDR83915/2 and EDR8276612</td>
		</tr>
	</tbody>
</table>

gradient echo quantum memory in warm atomic vapor

Gradient echo memory (GEM) is a protocol for storing optical quantum states of light in atomic ensembles. The primary motivation for such a technology is that quantum key distribution (QKD), which uses Heisenberg uncertainty to guarantee security of cryptographic keys, is limited in transmission distance. The development of a quantum repeater is a possible path to extend QKD range, but a repeater will need a quantum memory. In our experiments we use a gas of rubidium 87 vapor that is contained in a warm gas cell. This makes the scheme particularly simple. It is also a highly versatile scheme that enables in-memory refinement of the stored state, such as frequency shifting and bandwidth manipulation. The basis of the GEM protocol is to absorb the light into an ensemble of atoms that has been prepared in a magnetic field gradient. The reversal of this gradient leads to rephasing of the atomic polarization and thus recall of the stored optical state. We will outline how we prepare the atoms and this gradient and also describe some of the pitfalls that need to be avoided, in particular four-wave mixing, which can give rise to optical gain.

1. Using the Raman Absorption as a Diagnostic Tool
The first result to obtain is a Raman line absorption of the probe beam light. Optimization of this absorption feature goes a long way towards achieving the best memory performance. With the magnetic gradient coils switched off, the control frequency can be scanned in the presence of a weak continuous probe wave. The absorption of the probe beam is directly related to the optical density of the atomic cell. Based on that, the temperature of the cell, power of the control beam and single photon detuning can be optimized through an iterative process to give the best possible Raman absorption. Too much control-beam power will increase absorption, but also broaden the width of the line. When optimized, the width is of the order of 100 kHz in our system.
Switching on one of the gradient coils will broaden the Raman line. The width of the broadened absorption determines the bandwidth of the memory. A compromise then has to be made between optical density, which affects memory efficiency, and memory bandwidth. The probe transmission is shown for one of our broadened Raman lines in Figure&#160;5, where the memory bandwidth is set to about 1 MHz.
Switching on both magnetic gradient coils at the same time, the nonbroadened absorption linewidth should be recovered. Any mismatch in the current magnitude or spatial inhomogeneity of the magnetic fields will reflect directly on a broadening and distortion of the Raman absorption.
2. Pulse Storage
The simplest configuration for the memory is single pulse storage and retrieval. That would be, for instance, storing pulses of duration 2 &#181;sec and switching the magnetic gradient coils 3 &#181;sec after the pulse peak, as shown in Figure&#160;6. If the optical density is low, some light leakage will be observed depending on the optical density (OD) of the medium. Carefully tuning the memory parameters is essential to obtaining high efficiency storage. This includes the optimization of the memory cell temperature, the careful alignment between the probe and the control field, tuning the intensity of the control beam to find the best compromise between absorption and scattering, ensuring the correct polarization of the beams and tuning the frequencies of the probe and control beams. This optimization method is further explained in the discussion section. Efficiencies exceeding 80% for a storage time of 4 &#181;sec 22 can be expected when all these parameters are tuned well. The efficiency of the storage is defined as the ratio between the energy of the recalled echo and the energy of an identical pulse that has not been stored in the memory. This effectively factors out the effect of linear losses, for instance due to Fresnel reflections on the surfaces or absorption in the filtering cell. When using a heterodyne detection, the energy of the pulses is measured by squaring the heterodyne signal and measuring the areas of the pulse&#39;s envelopes.
The frequency and bandwidth of the retrieved pulse depends on the current injected into the gradient coils. Simple manipulation of these currents allows for fine tuning of the retrieved pulse. More complex spectral manipulations (such as those outlined in 29) can be done using a more advanced coil setup where the gradient along the memory can be tuned as a function of position and time independently.
<img alt="Figure 1" fo:content-width="6in" src="/files/ftp_upload/50552/50552fig1.jpg" width="500px" /> 
Figure 1.&#160;a) The level scheme within the 87Rb D1 line used in the memory. The probe light is Raman absorbed to create a coherence between the F=1 and F=2 ground-states. b) The magnetic field gradient gives spatially dependent detuning of the ground-states along the length of the cell. Reversing the gradient and turning the control beam on gives recall of the stored probe light. (Adapted from [34]).&#160;<a href="https://www.jove.com/files/ftp_upload/50552/50552fig1highres.jpg" target="_blank">Click here to view larger image</a>.
<img alt="Figure 2" fo:content-width="6in" src="/files/ftp_upload/50552/50552fig2.jpg" width="500px" /> 
Figure 2.&#160;Schematic of an optical mode cleaner. Refer to the Methods section for a description. <a href="https://www.jove.com/files/ftp_upload/50552/50552fig2highres.jpg" target="_blank">Click here to view larger image</a>.
<img alt="Figure 3" fo:content-width="6in" src="/files/ftp_upload/50552/50552fig3.jpg" width="500px" /> 
Figure 3.&#160;Schematic of the experimental setup. AOM = Acousto-Optic Modulator; EOM = Electro-Optic Modulator; BS=Beamsplitter; &#955;/4=Quarter-wave plate. <a href="https://www.jove.com/files/ftp_upload/50552/50552fig3highres.jpg" target="_blank">Click here to view larger image</a>.
<img alt="Figure 4" fo:content-width="6in" src="/files/ftp_upload/50552/50552fig4.jpg" width="500px" /> 
Figure 4.&#160;A typical timing sequence for the memory. (Taken from 35).&#160;<a href="https://www.jove.com/files/ftp_upload/50552/50552fig4highres.jpg" target="_blank">Click here to view larger image</a>.
<img alt="Figure 5" fo:content-width="6in" src="/files/ftp_upload/50552/50552fig5.jpg" width="500px" /> 
Figure 5.&#160;Typical heterodyned broadened Raman line when one of the magnetic gradient coils is switched on. The data (thin solid line) is taken using heterodyne measurement. The oscillation is due to the beat between the probe light and local oscillator light. The dashed curve shows the envelope of this data which is the shape of the broadened Raman line. (Modified from 25). <a href="https://www.jove.com/files/ftp_upload/50552/50552fig5highres.jpg" target="_blank">Click here to view larger image</a>.
<img alt="Figure 6" fo:content-width="6in" src="/files/ftp_upload/50552/50552fig6.jpg" width="500px" /> 
Figure 6.&#160;Typical average-efficiency GEM echo for short storage time. The magnetic gradient coils are switched at t = 10 &#956;sec (dashed line). Red: input pulse intensity profile. Blue: intensity output of the memory, demonstrating leaked light (which is apparent under the red input pulse) and recalled echo, which appears to the right of the dashed line. <a href="https://www.jove.com/files/ftp_upload/50552/50552fig6highres.jpg" target="_blank">Click here to view larger image</a>.
<img alt="Figure 7" fo:content-width="6in" src="/files/ftp_upload/50552/50552fig7.jpg" width="500px" /> 
Figure 7.&#160;Four-wave mixing effect, when scanning the Raman line, for various control field powers and cell temperatures. For this figure only, the polarizations of the control field and probe beams were chosen so that they maximize the effect. Pc is the control beam power. (Modified from 25).&#160;<a href="https://www.jove.com/files/ftp_upload/50552/50552fig7highres.jpg" target="_blank">Click here to view larger image</a>.

Watch this Scientific Journal Video about Gradient Echo Quantum Memory in Warm Atomic Vapor at JoVE.com

Gradient Echo Quantum Memory in Warm Atomic Vapor

The gradient echo memory is a protocol for storing optical quantum states of light in atomic ensembles. Quantum memory is a key element of a quantum repeater, which can extend the range of quantum key distribution. We outline the operation of the scheme when implemented in a 3-level atomic ensemble.

Gradient  echo memory (GEM) is a protocol for storing optical quantum states of light in  atomic ensembles. The primary motivation for such a technology ...

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12.7K Views.  The Australian National University. The gradient echo memory is a protocol for storing optical quantum states of light in atomic ensembles. Quantum memory is a key element of a quantum repeater, which can extend the range of quantum key distribution. We outline the operation of the scheme when implemented in a 3-level atomic ensemble.

Video: Gradient Echo Quantum Memory in Warm Atomic Vapor

Compact Quantum Dots for Single-molecule Imaging

Single-molecule imaging is an important tool for understanding the mechanisms of biomolecular function and for visualizing the spatial and temporal heterogeneity of molecular behaviors that underlie cellular biology 1-4. To image an individual molecule of interest, it is typically conjugated to a fluorescent tag (dye, protein, bead, or quantum dot) and observed with epifluorescence or total internal reflection fluorescence (TIRF) microscopy. While dyes and fluorescent proteins have been the mainstay of fluorescence imaging for decades, their fluorescence is unstable under high photon fluxes necessary to observe individual molecules, yielding only a few seconds of observation before complete loss of signal. Latex beads and dye-labeled beads provide improved signal stability but at the expense of drastically larger hydrodynamic size, which can deleteriously alter the diffusion and behavior of the molecule under study.
Quantum dots (QDs) offer a balance between these two problematic regimes. These nanoparticles are composed of semiconductor materials and can be engineered with a hydrodynamically compact size with exceptional resistance to photodegradation 5. Thus in recent years QDs have been instrumental in enabling long-term observation of complex macromolecular behavior on the single molecule level. However these particles have still been found to exhibit impaired diffusion in crowded molecular environments such as the cellular cytoplasm and the neuronal synaptic cleft, where their sizes are still too large 4,6,7.
Recently we have engineered the cores and surface coatings of QDs for minimized hydrodynamic size, while balancing offsets to colloidal stability, photostability, brightness, and nonspecific binding that have hindered the utility of compact QDs in the past 8,9. The goal of this article is to demonstrate the synthesis, modification, and characterization of these optimized nanocrystals, composed of an alloyed HgxCd1-xSe core coated with an insulating CdyZn1-yS shell, further coated with a multidentate polymer ligand modified with short polyethylene glycol (PEG) chains (Figure 1). Compared with conventional CdSe nanocrystals, HgxCd1-xSe alloys offer greater quantum yields of fluorescence, fluorescence at red and near-infrared wavelengths for enhanced signal-to-noise in cells, and excitation at non-cytotoxic visible wavelengths. Multidentate polymer coatings bind to the nanocrystal surface in a closed and flat conformation to minimize hydrodynamic size, and PEG neutralizes the surface charge to minimize nonspecific binding to cells and biomolecules. The end result is a brightly fluorescent nanocrystal with emission between 550-800 nm and a total hydrodynamic size near 12 nm. This is in the same size range as many soluble globular proteins in cells, and substantially smaller than conventional PEGylated QDs (25-35 nm).

We describe the preparation of colloidal quantum dots with minimized hydrodynamic size for single-molecule fluorescence imaging. Compared to conventional quantum dots, these nanoparticles are similar in size to globular proteins and are optimized for single-molecule brightness, stability against photodegradation, and resistance to nonspecific binding to proteins and cells.

Single-molecule imaging is an important tool for  understanding the mechanisms of biomolecular function and for visualizing the  spatial and temporal ...

Echo Particle Image Velocimetry

The transport of mass, momentum, and energy in fluid flows is ultimately determined by spatiotemporal distributions of the fluid velocity field.1 Consequently, a prerequisite for understanding, predicting, and controlling fluid flows is the capability to measure the velocity field with adequate spatial and temporal resolution.2 For velocity measurements in optically opaque fluids or through optically opaque geometries, echo particle image velocimetry (EPIV) is an attractive diagnostic technique to generate "instantaneous" two-dimensional fields of velocity.3,4,5,6 In this paper, the operating protocol for an EPIV system built by integrating a commercial medical ultrasound machine7 with a PC running commercial particle image velocimetry (PIV) software8 is described, and validation measurements in Hagen-Poiseuille (i.e., laminar pipe) flow are reported.
For the EPIV measurements, a phased array probe connected to the medical ultrasound machine is used to generate a two-dimensional ultrasound image by pulsing the piezoelectric probe elements at different times. Each probe element transmits an ultrasound pulse into the fluid, and tracer particles in the fluid (either naturally occurring or seeded) reflect ultrasound echoes back to the probe where they are recorded. The amplitude of the reflected ultrasound waves and their time delay relative to transmission are used to create what is known as B-mode (brightness mode) two-dimensional ultrasound images. Specifically, the time delay is used to determine the position of the scatterer in the fluid and the amplitude is used to assign intensity to the scatterer. The time required to obtain a single B-mode image, t, is determined by the time it take to pulse all the elements of the phased array probe. For acquiring multiple B-mode images, the frame rate of the system in frames per second (fps) = 1/&delta;t. (See 9 for a review of ultrasound imaging.)
For a typical EPIV experiment, the frame rate is between 20-60 fps, depending on flow conditions, and 100-1000 B-mode images of the spatial distribution of the tracer particles in the flow are acquired. Once acquired, the B-mode ultrasound images are transmitted via an ethernet connection to the PC running the PIV commercial software. Using the PIV software, tracer particle displacement fields, D(x,y)[pixels], (where x and y denote horizontal and vertical spatial position in the ultrasound image, respectively) are acquired by applying cross correlation algorithms to successive ultrasound B-mode images.10 The velocity fields, u(x,y)[m/s], are determined from the displacements fields, knowing the time step between image pairs, &Delta;T[s], and the image magnification, M[meter/pixel], i.e., u(x,y) = MD(x,y)/&Delta;T. The time step between images &Delta;T = 1/fps + D(x,y)/B, where B[pixels/s] is the time it takes for the ultrasound probe to sweep across the image width. In the present study, M = 77[&mu;m/pixel], fps = 49.5[1/s], and B = 25,047[pixels/s]. Once acquired, the velocity fields can be analyzed to compute flow quantities of interest.

An echo particle image velocimetry (EPIV) system capable of acquiring two-dimensional fields of velocity in optically opaque fluids or through optically opaque geometries is described, and validation measurements in pipe flow are reported.

The transport of mass, momentum, and energy in fluid flows is ultimately determined by spatiotemporal distributions of the fluid velocity field.1 ...

Nanofabrication of Gate-defined GaAs/AlGaAs Lateral Quantum Dots

A quantum computer is a computer composed of quantum bits (qubits) that takes advantage of quantum effects, such as superposition of states and entanglement, to solve certain problems exponentially faster than with the best known algorithms on a classical computer. Gate-defined lateral quantum dots on GaAs/AlGaAs are one of many avenues explored for the implementation of a qubit. When properly fabricated, such a device is able to trap a small number of electrons in a certain region of space. The spin states of these electrons can then be used to implement the logical 0 and 1 of the quantum bit. Given the nanometer scale of these quantum dots, cleanroom facilities offering specialized equipment- such as scanning electron microscopes and e-beam evaporators- are required for their fabrication. Great care must be taken throughout the fabrication process to maintain cleanliness of the sample surface and to avoid damaging the fragile gates of the structure. This paper presents the detailed fabrication protocol of gate-defined lateral quantum dots from the wafer to a working device. Characterization methods and representative results are also briefly discussed. Although this paper concentrates on double quantum dots, the fabrication process remains the same for single or triple dots or even arrays of quantum dots. Moreover, the protocol can be adapted to fabricate lateral quantum dots on other substrates, such as Si/SiGe.

This paper presents a detailed fabrication protocol for gate-defined semiconductor lateral quantum dots on gallium arsenide heterostructures. These nanoscale devices are used to trap few electrons for use as quantum bits in quantum information processing or for other mesoscopic experiments such as coherent conductance measurements.

A quantum computer is a computer composed of quantum bits (qubits) that takes advantage of quantum effects, such as superposition of states and ...

Analysis of Contact Interfaces for Single GaN Nanowire Devices

Single GaN nanowire (NW) devices fabricated on SiO2 can exhibit a strong degradation after annealing due to the occurrence of void formation at the contact/SiO2 interface. This void formation can cause cracking and delamination of the metal film, which can increase the resistance or lead to a complete failure of the NW device. In order to address issues associated with void formation, a technique was developed that removes Ni/Au contact metal films from the substrates to allow for the examination and characterization of the contact/substrate and contact/NW interfaces of single GaN NW devices. This procedure determines the degree of adhesion of the contact films to the substrate and NWs and allows for the characterization of the morphology and composition of the contact interface with the substrate and nanowires. This technique is also useful for assessing the amount of residual contamination that remains from the NW suspension and from photolithographic processes on the NW-SiO2 surface prior to metal deposition. The detailed steps of this procedure are presented for the removal of annealed Ni/Au contacts to Mg-doped GaN NWs on a SiO2 substrate.

A technique was developed that removes Ni/Au contact metal films from their substrate to allow for the examination and characterization of the contact/substrate and contact/NW interfaces of single GaN nanowire devices.

Single GaN nanowire (NW) devices fabricated on SiO2 can exhibit  a strong degradation after annealing due to the  occurrence of void formation at the ...

Construction and Characterization of External Cavity Diode Lasers for Atomic Physics

Since their development in the late 1980s, cheap, reliable external cavity diode lasers (ECDLs) have replaced complex and expensive traditional dye and Titanium Sapphire lasers as the workhorse laser of atomic physics labs1,2. Their versatility and prolific use throughout atomic physics in applications such as absorption spectroscopy and laser cooling1,2 makes it imperative for incoming students to gain a firm practical understanding of these lasers. This publication builds upon the seminal work by Wieman3, updating components, and providing a video tutorial. The setup, frequency locking and performance characterization of an ECDL will be described. Discussion of component selection and proper mounting of both diodes and gratings, the factors affecting mode selection within the cavity, proper alignment for optimal external feedback, optics setup for coarse and fine frequency sensitive measurements, a brief overview of laser locking techniques, and laser linewidth measurements are included.

This is an instructional paper to guide the construction and diagnostics of external cavity diode lasers (ECDLs), including component selection and optical alignment, as well as the basics of frequency reference spectroscopy and laser linewidth measurements for applications in the field of atomic physics.

Since their development in the late 1980s, cheap, reliable external cavity diode lasers (ECDLs) have replaced complex and expensive traditional dye and ...

Quantum State Engineering of Light with Continuous-wave Optical Parametric Oscillators

Engineering non-classical states of the electromagnetic field is a central quest for quantum optics1,2. Beyond their fundamental significance, such states are indeed the resources for implementing various protocols, ranging from enhanced metrology to quantum communication and computing. A variety of devices can be used to generate non-classical states, such as single emitters, light-matter interfaces or non-linear systems3. We focus here on the use of a continuous-wave optical parametric oscillator3,4. This system is based on a non-linear &#967;2 crystal inserted inside an optical cavity and it is now well-known as a very efficient source of non-classical light, such as single-mode or two-mode squeezed vacuum depending on the crystal phase matching. 
Squeezed vacuum is a Gaussian state as its quadrature distributions follow a Gaussian statistics. However, it has been shown that number of protocols require non-Gaussian states5. Generating directly such states is a difficult task and would require strong &#967;3 non-linearities. Another procedure, probabilistic but heralded, consists in using a measurement-induced non-linearity via a conditional preparation technique operated on Gaussian states. Here, we detail this generation protocol for two non-Gaussian states, the single-photon state and a superposition of coherent states, using two differently phase-matched parametric oscillators as primary resources. This technique enables achievement of a high fidelity with the targeted state and generation of the state in a well-controlled spatiotemporal mode.

We describe the reliable generation of non-Gaussian states of traveling optical fields, including single-photon states and coherent state superpositions, using a conditional preparation method operated on the non-classical light emitted by optical parametric oscillators. Type-I and type-II phase-matched oscillators are considered and common procedures, such as the required frequency filtering or the high-efficiency quantum state characterization by homodyning, are detailed.

Engineering non-classical states of the electromagnetic field is a central quest for quantum optics1,2. Beyond their fundamental significance, such states ...

Selective Area Modification of Silicon Surface Wettability by Pulsed UV Laser Irradiation in Liquid Environment

The wettability of silicon (Si) is one of the important parameters in the technology of surface functionalization of this material and fabrication of biosensing devices. We report on a protocol of using KrF and ArF lasers irradiating Si (001) samples immersed in a liquid environment with low number of pulses and operating at moderately low pulse fluences to induce Si wettability modification. Wafers immersed for up to 4 hr in a 0.01% H2O2/H2O solution did not show measurable change in their initial contact angle (CA) ~75&#176;. However, the 500-pulse KrF and ArF lasers irradiation of such wafers in a microchamber filled with 0.01% H2O2/H2O solution at 250 and 65 mJ/cm2, respectively, has decreased the CA to near 15&#176;, indicating the formation of a superhydrophilic surface. The formation of OH-terminated Si (001), with no measurable change of the wafer&#8217;s surface morphology, has been confirmed by X-ray photoelectron spectroscopy and atomic force microscopy measurements. The selective area irradiated samples were then immersed in a biotin-conjugated fluorescein-stained nanospheres solution for 2 hr, resulting in a successful immobilization of the nanospheres in the non-irradiated area. This illustrates the potential of&#160;the method for selective area biofunctionalization and fabrication of advanced Si-based biosensing architectures. We also describe a similar protocol of irradiation of wafers immersed in methanol (CH3OH) using ArF laser operating at pulse fluence of 65 mJ/cm2 and in situ formation of a strongly hydrophobic surface of Si (001) with the CA of 103&#176;. The XPS results indicate ArF laser induced formation of Si&#8211;(OCH3)x compounds responsible for the observed hydrophobicity. However, no such compounds were found by XPS on the Si surface irradiated by KrF laser in methanol, demonstrating the inability of the KrF laser to photodissociate methanol and create -OCH3 radicals.

We report on a process of in situ alteration of HF treated Si (001) surface into a hydrophilic or hydrophobic state by irradiating samples in microfluidic chambers filled with&#160;H2O2/H2O solution (0.01%-0.5%) or methanol solutions using pulsed UV laser of a relative low pulse fluence.

The wettability of silicon (Si) is one of the important parameters in the technology of surface functionalization of this material and fabrication of ...

Silicon Metal-oxide-semiconductor Quantum Dots for Single-electron Pumping

As mass-produced silicon transistors have reached the nano-scale, their behavior and performances are increasingly affected, and often deteriorated, by quantum mechanical effects such as tunneling through single dopants, scattering via interface defects, and discrete trap charge states. However, progress in silicon technology has shown that these phenomena can be harnessed and exploited for a new class of quantum-based electronics. Among others, multi-layer-gated silicon metal-oxide-semiconductor (MOS) technology can be used to control single charge or spin confined in electrostatically-defined quantum dots (QD). These QD-based devices are an excellent platform for quantum computing applications and, recently, it has been demonstrated that they can also be used as single-electron pumps, which are accurate sources of quantized current for metrological purposes. Here, we discuss in detail the fabrication protocol for silicon MOS QDs which is relevant to both quantum computing and quantum metrology applications. Moreover, we describe characterization methods to test the integrity of the devices after fabrication. Finally, we give a brief description of the measurement set-up used for charge pumping experiments and show representative results of electric current quantization.

The fabrication process and experimental characterization techniques relevant to single-electron pumps based on silicon metal-oxide-semiconductor quantum dots are discussed.

As mass-produced silicon transistors have reached the nano-scale, their behavior and performances are increasingly affected, and often deteriorated, by ...

Experimental Procedure for Warm Spinning of Cast Aluminum Components

High performance, cast aluminum automotive wheels are increasingly being incrementally formed via flow forming/metal spinning at elevated temperatures to improve material properties. With a wide array of processing parameters which can affect both the shape attained and resulting material properties, this type of processing is notoriously difficult to commission. A simplified, light-duty version of the process has been designed and implemented for full-size automotive wheels. The apparatus is intended to assist in understanding the deformation mechanisms and the material response to this type of processing. An experimental protocol has been developed to prepare for, and subsequently perform forming trials and is described for as-cast A356 wheel blanks. The thermal profile attained, along with instrumentation details are provided. Similitude with full-scale forming operations which impart significantly more deformation at faster rates is discussed.

An experimental protocol for instrumented warm rotary forming of cast aluminum alloys employing a bespoke industrially scaled apparatus is presented. Experimental considerations including thermal and mechanical effects are discussed, as well as similitude with full-scale processing of automotive wheels.

High performance, cast aluminum automotive wheels are increasingly being incrementally formed via flow forming/metal spinning at elevated temperatures to ...

Measurement of Quantum Interference in a Silicon Ring Resonator Photon Source

Silicon photonic chips have the potential to realize complex integrated quantum information processing circuits, including photon sources, qubit manipulation, and integrated single-photon detectors. Here, we present the key aspects of preparing and testing a silicon photonic quantum chip with an integrated photon source and two-photon interferometer. The most important aspect of an integrated quantum circuit is minimizing loss so that all of the generated photons are detected with the highest possible fidelity. Here, we describe how to perform low-loss edge coupling by using an ultra-high numerical aperture fiber to closely match the mode of the silicon waveguides. By using an optimized fusion splicing recipe, the UHNA fiber is seamlessly interfaced with a standard single-mode fiber. This low-loss coupling allows the measurement of high-fidelity photon production in an integrated silicon ring resonator and the subsequent two-photon interference of the produced photons in a closely integrated Mach-Zehnder interferometer. This paper describes the essential procedures for the preparation and characterization of high-performance and scalable silicon quantum photonic circuits.

Silicon photonic chips have the potential to realize complex integrated quantum systems. Presented here is a method for preparing and testing a silicon photonic chip for quantum measurements.