Large-scale optical characterization of solid-state quantum emitters Madison Sutula1Ian Christen1 Eric Bersin12 Michael P. Walsh1 Kevin C. Chen1 Justin Mallek2 Alexander Melville2 Michael Titze3 Edward S. Bielejec3

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Large-scale optical characterization of solid-state quantum emitters
Madison Sutula1,Ian Christen1, Eric Bersin1,2, Michael P. Walsh1, Kevin C. Chen1,
Justin Mallek2, Alexander Melville2, Michael Titze3, Edward S. Bielejec3,
Scott Hamilton2, Danielle Braje2, P. Benjamin Dixon2, and Dirk R. Englund1
1Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
2Lincoln Laboratory, Massachusetts Institute of Technology, Lexington, MA 02421, USA
3Sandia National Laboratories, Albuquerque, NM 87185, USA
(Dated: October 26, 2022)
Solid-state quantum emitters have emerged as a leading quantum memory for quantum network-
ing applications. However, standard optical characterization techniques are neither efficient nor
repeatable at scale. In this work, we introduce and demonstrate spectroscopic techniques that en-
able large-scale, automated characterization of color centers. We first demonstrate the ability to
track color centers by registering them to a fabricated machine-readable global coordinate system,
enabling systematic comparison of the same color center sites over many experiments. We then
implement resonant photoluminescence excitation in a widefield cryogenic microscope to parallelize
resonant spectroscopy, achieving two orders of magnitude speed-up over confocal microscopy. Fi-
nally, we demonstrate automated chip-scale characterization of color centers and devices at room
temperature, imaging thousands of microscope fields of view. These tools will enable accelerated
identification of useful quantum emitters at chip-scale, enabling advances in scaling up color center
platforms for quantum information applications, materials science, and device design and charac-
terization.
Keywords: color centers, diamond, widefield, large-scale, quantum information
Quantum emitters play a central role in quantum in-
formation science and technology [1, 2]. Color centers
in solids have emerged as a leading platform for quan-
tum information processing, with applications in sens-
ing, computation, and communication. Their electron
spin degree of freedom can store quantum states for mil-
liseconds to seconds [3, 4], and can be efficiently trans-
duced into a flying qubit via a coherent spin-photon
interface. These light-matter interactions can be en-
gineered with cavity quantum electrodynamics [5, 6],
accessible through nanofabrication [7–12] and heteroge-
neous integration techniques [13–17]. Nuclear spin an-
cilla qubits provide additional degrees of freedom [18],
enabling longer storage times [19], local multi-qubit logic
protocols such as error detection and correction [20, 21],
and potential for more robust computation such as bro-
kered entanglement [22] or cluster state generation [23].
In spite of these promising properties and early demon-
strations, most approaches rely on the integration and
control of a single color center at each node [24–26]. How-
ever, quantum information processing nodes will require
many individually-addressable quantum emitters, each
with long-lived spin states and a high-quality photonic
interface [27]. A critical challenge faced by color center
qubits, especially when compared to neutral atom and
trapped ion qubit architectures, is spectral inhomogene-
ity [28]. Although a number of techniques have been
demonstrated to practically or theoretically overcome
this inhomogeneity, including retuning emitter transi-
tions via Stark [29] or strain tuning [30], compensat-
ing for differential phase accumulation [31], and shift-
mmsutula@mit.edu
ing emitted photons by optical frequency conversion [32]
or frequency modulation [33], each of these solutions re-
lies on pre-characterization of the optical transitions in-
volved. Additionally, up to now, approaches to under-
stand the range of color center performance and unifor-
mity have been limited to ensemble-level statistics, ob-
scuring individual color center properties. Scaling up the
number of solid-state quantum memories accessible in
quantum information processing systems requires large-
scale characterization techniques to identify the most vi-
able qubits for practical use.
Here, we report on a high-throughput approach for
spectroscopy and synthesis of quantum emitters, while
retaining single-emitter resolution, on diamond color cen-
ters (Fig. 1). We track color centers by registering them
to fabricated, machine-readable global coordinate sys-
tem, enabling the systematic comparison of individual
center sites over many experiments that is critical for
understanding the role of materials processing [34]. We
then implement resonant photoluminescence excitation
in a widefield cryogenic microscope to realize two orders
of magnitude speed-up over confocal microscopy. Finally,
we demonstrate automated chip-scale characterization of
color centers and devices at room temperature, imag-
ing thousands of microscope fields of view (see Extended
Data Videos).
With the large datasets accessible through these novel
approaches, we identify a sample with an exceptionally
narrow inhomogeneous distribution of silicon-vacancy
centers in diamond (SiVs), and we verify in a sample
implanted via focused ion beam (FIB) that the opti-
cal properties of highly strained SiVs do not degrade.
These techniques provide a paradigm in which the opti-
cal properties of individual color centers can be identi-
arXiv:2210.13643v1 [quant-ph] 24 Oct 2022
2
c
ba
d
V
E
N
C
E
VB
CB
e-
charge
traps
g
Si
V
V
ɛxx
ɛyy
ɛzz∥⟨111
C
d
V
E
N
C
Si
V
V
ɛxx
ɛyy
ɛzz∥⟨111
C
f
Vconfocal
QR code
Vwideeld
V
E
N
C
Si
V
V
ɛxx
ɛyy
ɛzz∥⟨111
C
ES
ωZPL/2π
GS
d
e
ω/2π
FIG. 1. Techniques for chip-scale characterization. a, Standard confocal microscopy enables spectroscopy on a diffraction-
limited volume, Vconfocal .b, Our widefield microscopy technique discussed in Section II allows for parallelized spectroscopic
measurements over many color centers simultaneously in a larger sample volume, Vwidefield .c, We fabricate QR-style codes
onto the surface of our samples as a spatial reference frame which we decode convolutionally in real time, enabling us to track
and revisit color centers. Together, these techniques allow us to probe d, the optical transitions of color centers, including
perturbations such as e, local strain environment, which the silicon-vacancy center in diamond (pictured) is particularly sensitive
to, f, electric fields, which the nitrogen-vacancy center in diamond (pictured) is particularly sensitive to, and g, the time-varying
occupancy of charge traps in the crystal host, which is thought to cause inhomogeneous line broadening.
fied, tracked, and categorized. We anticipate that the re-
ported high-throughput tools will close the loop between
materials processing and spectroscopy, enabling develop-
ment of scalable quantum information processors.
RESULTS
I. REGISTERING COLOR CENTERS TO
FABRICATED MARKERS
Scanning confocal microscopy is a standard technique
used to identify color centers, revealing bright spots
located relative to the coordinates set by the scan-
ning axes of the microscope. However, returning to a
previously-characterized set of emitters on a chip can
be challenging due to the vast difference between the
O(100 µm×100 µm) size of the field of view and the
O(5 mm ×5 mm) size of the chip, especially after the
frame of reference is lost to sample removal. Previ-
ous work has used bright ‘lodestar’ emitters or image-
stitching techniques to return to a given set of emit-
ters [35], though these techniques are not general, as not
all samples possess sufficiently unique features for each
field of view of interest.
We demonstrate the ability to register emitters to a
global coordinate system using a standard home-built
cryogenic confocal microscope setup. This technique en-
ables us to revisit the same set of nitrogen-vacancy cen-
ters in diamond (NVs) over the course of multiple cool-
ing cycles, and therefore to track emitter properties over
time. We first fabricate quick response-style (QR) codes
on the surface of the diamond chip (see Methods Sec-
tion 6). These are decoded in real-time with custom im-
age processing tools by establishing a coordinate trans-
form between the global sample coordinates and the local
microscope coordinates using the region of sample space
in view of the scanning confocal microscope (Fig. 2a).
We use off-resonant scanning fluorescence microscopy
under 515 nm excitation to image a low-density of NV
centers on the surface of the chip. To create these fluo-
rescent centers, the chip was implanted with 1×109/cm2
of 15N ions at 185 keV, and subsequently annealed at
1200C in ultra-high vacuum, tri-acid cleaned in a 1:1:1
mixture of nitric, perchloric, and sulfuric acids by boil-
ing for 1 hour [36], and finally cleaned in a 3:1 sulfu-
3
470.474 470.476 470.478 470.48 470.482
ω/2π (THz)
0
50
100
150
200
Intensity (a.u.)
2 3 4 5
Experiment iteration
0
50
100
150
Number of NVs
re-observed
10 μm
5 μm
b
i
c
a d
e
1 μm
ii
-10 -5 0 5 10
ω/2π (GHz)
0
10
20
30
40
Number of NV sites
Control
Acid clean
-20 -15 -10 -5 0 5
(GHz)
0
10
20
30
40
Number of NV sites
Control
Acid clean
FIG. 2. Tracking color centers in a sample with fabricated QR codes. a, Confocal microscope image of a diamond
patterned with QR codes and implanted with 15N. The full figure shows a confocal scan of the sample under incoherent
illumination. The corners of four QR codes are emphasized with white circles. The insets show i, fluorescence from part of the
full field of view under 515 nm excitation, with single nitrogen-vacancy centers in diamond (NVs), and ii, an SEM micrograph
of a QR code. b, Typical photoluminescence excitation (PLE) spectrum for an NV center in this sample. c, Histogram of the
number of experiments in which an NV was observed for a sample cooled down four times, with processing steps in between
subsequent experiments. Errors in clustering sites are indicated in bin 5. d, Visualization of the shift in mean optical transition
frequency ∆¯ω/2π= ¯ωi/2π¯ωj/2πof the two ms= 0 spin transitions between experiments j= 1 & i= 2, which served as a
control, and between experiments j= 1 & i= 3, before and after tri-acid cleaning. After tri-acid cleaning, two populations of
¯ω/2πare observed, attributable to polarization due to the presence of an electric field caused by a change in surface termination.
e, Visualization of the shift in the splitting ∆δ=δiδjbetween the two ms= 0 transitions between experiments j= 1 &
i= 2, which served as a control, and between experiments j= 1 & i= 3, before and after tri-acid cleaning.
ric acid:hydrogen peroxide piranha solution. We clas-
sify bright, diffraction-limited spots as candidate emitter
sites, as shown in the inset of Fig. 2a. We then determine
the spectral positions and linewidths of the zero-phonon
line (ZPL) optical transitions at each candidate site with
photoluminescence excitation (PLE) spectroscopy. To do
this, we measure the fluorescence response of each emit-
ter by scanning a resonant laser over the ZPL transi-
tions and collecting light emitted into the phonon side-
band (PSB) on an avalanche photodiode. We label the
spin conserving transitions associated with ms= 0 by
mean ZPL frequency ¯ω= 1/2 (Ex+Ey) and splitting
δ=|EyEx|[29]. Further information about the ex-
perimental setup and NV centers is provided in the Sup-
plementary Information. A typical NV PLE spectrum is
shown in Fig. 2b. Details regarding data analysis and QR
encoding are provided in the Methods Sections 2 and 4.
We track NV centers over four experiments by regis-
tering emitters to the sample rather than to the micro-
scope coordinates, in spite of the stochastic movement
of the sample caused by remounting along with warm-
ing and cooling the system between experiments. Ex-
periments 1 and 2 served as a control, as we thermally
cycled and remounted the sample in between, but per-
formed no additional materials processing. Between ex-
periments 2 and 3, the sample was tri-acid cleaned in a
1:1:1 mixture of nitric, perchloric, and sulfuric acids by
boiling for 1 hour [36] and between experiments 3 and
4, the sample was annealed in an oxygen environment at
450C for 4 hours [37]. In each experiment, NVs and QR
codes were registered to the local microscope coordinate
system, and then transformed to the global sample co-
ordinate system. After registering the locations of NVs
in all four experiments, we identified the NVs in each
experiment that belonged to the same confocal site on
the sample using a clustering algorithm constrained by
a diffraction-limited Euclidean threshold distance. The
number of experiments in which a color center was found
at the same global sample coordinate site is provided in
Fig. 2c: we observe that some NVs disappear over mul-
tiple experiments.
By tracking individual color centers over multiple cryo-
stat cooling cycles, we observe that tri-acid cleaning the
diamond leads to shifts in the mean frequency at a given
NV site ∆¯ω/2π= ¯ωi/2π¯ωj/2π(for experiments i, j)
of the ms= 0 optical transitions exceeding those ob-
served in the control. Conversely, the change in splitting
δ=δiδjbetween the two ms= 0 states does not de-
viate from the control. These observations, as shown in
Fig. 2d-e, are consistent with the addition of an electric
field normal to the surface [29], attributable to a changed
surface termination [38]. Notably, the population-level
statistics for ¯ω/2πalone do not reveal this phenomenon;
tracking individual emitters uniquely enabled us to ob-
serve these minute spectral shifts.
4
10 μm
10 μm
406.8136 406.814 406.8144
ω/2π (THz)ω/2π (THz)
406.7 406.8 406.9
ab c d
ef
406.8148
ω/2π(THz)
0
200
400
600
800
406.813 406.814 406.815
0
50
100
150
200
Number of
SIV sites
Number of
SIV sites
Number of
SIV sites
45.5 46 46.5 47 47.5
GS (GHz)
0
200
400
600
257 257.5 258 258.5
ES (GHz)
0
50
100
150
Number of
SIV sites
FIG. 3. Widefield photoluminescence excitation of silicon-vacancy centers. a, Fluorescence image of Sample A
reconstructed from widefield PLE as the resonant laser frequency ω/2πwas swept over 10 GHz, using the same field of view
as [39]. b, Strain map indicating the spatial distribution of the mean zero-phonon line (ZPL) transition ¯ω/2π(a proxy for
axial strain) at 584 sites that had one PLE peak at each of the four SiV transition frequencies. We observe that the SiVs
are split into two classes of axial strain. c, Histograms of the locations of the four optical transitions for 984 groups of SiV
peaks, where each group of SiV peaks consists of a peak at each of the four SiV transition frequencies. d, Mean ZPL transition
frequency ¯ω/2πfor 984 groups of SiV peaks: the split into two classes of axial strain is apparent in the distribution. Fitting
the empirical probability density function (σ= 10 MHz, see Methods Section 1) shown in red reveals a population centered at
406.8141 THz with standard deviation 59 MHz, and a population centered at 406.8136 THz with standard deviation 48 MHz.
e, Ground state splitting (∆GS ), and f, Excited state splitting (∆ES ), for 984 groups of SiV peaks. The ground and excited
state splittings closely approximate the splitting due to spin-orbit coupling alone, revealing the low-strain environment.
II. PARALLELIZED PHOTOLUMINESCENCE
EXCITATION VIA CRYOGENIC WIDEFIELD
MICROSCOPY
Although the ability to register the positions of sin-
gle emitters to the surface of a sample enables individual
color centers to be tracked and compared over time, the
characterization rate for the previous experiments is lim-
ited by the time to obtain one resonant PLE scan, as
each site must be measured sequentially. To overcome
this bottleneck, we modify our standard confocal micro-
scope setup to excite an entire field of view with a tunable
resonant laser in widefield mode (see Supplementary In-
formation), and thus parallelize PLE measurements to
realize a dramatic speed-up. This is made possible by
the introduction of an electron-multiplying charge cou-
pled device (EMCCD) camera in the imaging path, which
enables us to resolve individual diffraction-limited color
centers via image processing, as detailed in Methods Sec-
tion 3. The largest speedup that can be achieved with
this techniques is set by the number of diffraction-limited
emitter sites in a given field of view; we provide a detailed
discussion of the regimes in which our widefield technique
is faster than confocal microscopy in Methods Section 5.
We demonstrate widefield PLE for two systems contain-
ing silicon-vacancy centers in diamond (SiVs): one with
an exceptionally narrow inhomogeneous distribution of
optical transitions (Sample A), and one with a broad
distribution (Sample B).
For Sample A, SiVs were incorporated in-situ during
chemical vapor deposition (CVD) overgrowth on a low-
strain substrate. The sample was subsequently tri-acid
cleaned and annealed at 1200C in ultra-high vacuum.
Fig. 3a shows a fluorescence map reconstructed from
widefield PLE measurements over the SiV zero-phonon
line (ZPL) (specifically using the ground spin-orbit con-
serving C transition). By measuring PLE over all four
SiV ZPL transitions (see Extended Data Video 1), we can
determine the strain environment in the overgrown layer
throughout the entire field of view, revealing two classes
as shown in Fig. 3b-d. We ascribe this to two populations
of strain along the axis of the SiV. We generate an empiri-
cal probability distribution (PDF) function (σ= 10 MHz,
see Methods Section 1) to determine the inhomogeneous
distribution. A Gaussian fit to the empirical PDF repre-
senting ¯ω/2πreveals a population centered at 406.8141
THz with standard deviation 59 MHz, and a population
centered at 406.8136 THz with standard deviation 48
MHz. Previous work has demonstrated that CVD growth
is a promising path towards generating a narrow inhomo-
geneous distribution of SiVs [40], but to our knowledge,
our measurement represents the largest number of SiVs
with center frequencies that lie within the bandwidth
given by the lifetime-limited linewidth, enabling work re-
quiring high spectral homogeneity [39]. In a single field
of view, we measure 257 SiV sites with ground spin-orbit
摘要:

Large-scaleopticalcharacterizationofsolid-statequantumemittersMadisonSutula1,IanChristen1,EricBersin1;2,MichaelP.Walsh1,KevinC.Chen1,JustinMallek2,AlexanderMelville2,MichaelTitze3,EdwardS.Bielejec3,ScottHamilton2,DanielleBraje2,P.BenjaminDixon2,andDirkR.Englund11ResearchLaboratoryofElectronics,Mass...

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