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Characterizing and Reducing Errors in a Trapped Ion Experiment
1. The University of Sydney Page 1
Characterizing and
Reducing Errors in a
Trapped Ion Experiment
Claire L. Edmunds1
C. Hempel1, A. R. Milne1, TR. Tan1, A. Singh1,
& M. J. Biercuk1, 2
1ARC Centre for Engineered Quantum Systems, The University
of Sydney, NSW Australia
2Q-CTRL Pty Ltd, Sydney, NSW, 2006, Australia
March Meeting 2020, Denver, CO
2. The University of Sydney Page 2
Single-Qubit Microwave Gates
with Trapped Ions
Single-qubit average randomized
benchmarking error = 1.9×10-5 *
Encode qubits in 171Yb+ hyperfine ground states
2S1/2
2S1/2
* Appendix A : C. L. Edmunds, et al., Physical Review Research 2 (1), 013156 (2020)
3. The University of Sydney Page 3
21µm distance
Microwave field and
magnetic field gradients
Rabi shift = 1.2 Hz/𝜇m (1% across 10 ions)
Qubit frequency shift = 200 mHz/𝜇m
Global Microwave Gates
with Trapped Ions
J. M. Pino, et al., arXiv:2003.01293 (2020)
4. The University of Sydney Page 4
Error rates vary by over
an order of magnitude
from the best performing,
“calibration” qubit
Global Randomized Benchmarking for 10 Qubits
Calibration
qubit
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Dynamically corrected gates (DCGs) to suppress errors
1.00
0.75
0.50
0.25
0.00
SequenceError→
-0.10 -0.05 0.00 0.05 0.10
Relative Qubit Detuning Error
Primitive
Q-CTRL
CinBB
BB1
CORPSE
1.00
0.75
0.50
0.25
0.00
SequenceError→
-0.10 -0.05 0.00 0.05 0.10
Pulse Length Error
Primitive
Q-CTRL
CinBB
BB1
CORPSE
* Q-CTRL Black Opal App
*
H. Ball et al., arXiv:2001.04060 (2020)
6. The University of Sydney Page 6
Standard deviation is
reduced by ~8x using
over-rotation error
suppressing BB1 gates
Homogenizing Error Rates Between Qubits with DCGs
7. The University of Sydney Page 7
Homogenizing Error Rates Over Time with DCGs
0.9
0.8
0.7
0.6
0.5
0.4
ProbabilityBright
86420
Time (Hours)
Primitive (Data)
BB1 (Data)
Primitive (Mean)
BB1 (Mean)
Prepare
in |0⟩
ȒX(𝜋/2) ȒX(𝜋/2) ȒX(𝜋/2) ȒX(𝜋/2)
Measure
population
in |1⟩
t
1 2 100 101
ȒX(𝜋/2)
3
…
Standard deviation is
reduced by ~25x using
over-rotation error
suppressing BB1 gates
8. The University of Sydney Page 8
Suppressing Temporal Correlations with DCGs
Primitive gates remain
dominated by correlated errors
and variance saturates quickly
Under the same noise, DCG
averaging behaviour is
~indistinguishable from purely
uncorrelated errors
C. L. Edmunds, et al., Physical Review Research 2 (1), 013156 (2020)
9. The University of Sydney Page 9
Microwave Synthesis Phase Noise
• Phase noise increases
multiplicatively when we
up-convert frequencies
• Increasing the carrier
frequency N x adds :
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• Generating 12.6 GHz from 10 MHz reference
à +62 dB of phase noise!
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Microwave Synthesis with a Cryogenic Sapphire Oscillator
Modulate a 10.5 GHz signal from the CSO with a
~2 GHz arbitrary waveform, created using a sample
clock also taken from the CSO
Keysight M8190A - AWG
1.X GHz
10.58 GHz 12.6 GHz
5.8 GHzSample clock
CSO Single-sideband
modulation (SSB)
J. G. Harnett, et al., Appl. Phys. Lett. 100, 183501 (2012)
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1 Hz from carrier: -100 dBc vs. -50 dBc
~100,000x improvement
1kHz from carrier: -115 dBc vs. -123 dBc
~5x improvement
Reduced Phase Noise using the CSO and AWG at 12.6 GHz
12. The University of Sydney Page 12
Summary
– Dynamically corrected gates can be
employed to reduce net error rates,
homogenize errors between gates and
between qubits, and reduce correlated
errors1
– Replacing a VSG microwave generator with
a CSO reduces phase noise and calibration
overhead2
1C. L. Edmunds, Physical Review Research 2 (1), 013156 (2020)
2J. G. Harnett, et al., Appl. Phys. Lett. 100, 183501 (2012)