a. c. hughes, j. f. goodwin, m. a. sepiol, j. e. tarlton ... · single-qubit memory error metrology...

1
S i n g l e - q u b i t m e m o r y e r r o r m e t r o l o g y a t s h o r t t i m e s c a l e s Ion Trap Quantum Computing Group - Department of Physics, University of Oxford [1] D. T. C. Allcock et. al., App. Phys. Lett. 102, 044103 (2012) [2] T. P. Harty et. al., Phys. Rev. Lett. 113, 20501 (2014) [3] T. P. Harty et. al., Phys. Rev. Lett. 117, 140501 (2016) [4] E. Magesan et. al., Phys. Rev. Lett. 109, 080505 (2012) [email protected] [email protected] Department of Physics, Clarendon Laboratory, Parks Road, Oxford, OX1 3PU, United Kingdom www.physics.ox.ac.uk/users/iontrap - Surface (chip) rf trap featuring integrated microwave circuitry [1] - Gates driven by near-field microwaves - Heating rate 1.4(3) quanta/ms, axial secular frequency 2π × 500 kHz "Atomic clock" qubit 397 Doppler Ca oven 866 397 σ + 854 PI, 850σ + 393 σ + RF DC DC gate μ.w. RF DC state prep. μ.w. ground μ.w. + DC DC control RF + μ.w. + DC 850 π B 0 4S 1/2 3D 3/2 3D 5/2 4P 1/2 4P 3/2 854nm 850nm 866nm 397nm 393nm m F =4 m F =3 m F =-3 m F =-4 m F =1 F =0 3.2 GHz 4S 1/2 , F=4 4S 1/2 , F=3 m B 0 = 146 G ψ C 1 C 3 C 2 τ τ C m+1 example of Clifford gate decomposition C 1 C 3 C 2 C m+1 C 1 C 3 C 2 τ τ Y π /2 Φ π Φ π 3 Φ 2 π X π /2 C m+1 C 4 m τ + Φ π 3 Φ 2 π Y π /2 X π /2 Y π /2 X π /2 Φ π ~ ~ ~ BB1 sequence decompositions Φ =Φ +180° ~ ψ ψ x8 x8 SRS Rb frequency reference Rohde & Schwarz signal generator DDS frequency octupler Trap Measuring short-timescale decoherence - "Memory error" over a time delay is often measured using Ramsey experiments to extract a T2* time - We measure T2* ~ 1 minute π 2 π 2 delay φ° φ + 180° state prep. - At fault-tolerant threshold (~10 -2 – 10 -4 ), ε memory ~ ε SPAM so measurement is inefficient - Information about computationally relevant timescales is usually extrapolated from longer times - Instead, we use randomised benchmarking [4], [5] to directly measure very small errors (~10 -6 ) Randomised benchmarking (RBM) results - Ramsey experiments struggle when ε memory ~ ε SPAM (10 -3 ) - RBM allows probing of much smaller errors - We measure ε memory < 10 -4 up to ~100 ms – at least 3 orders of magnitude longer than gate or measurement times - Extrapolating from data at T2*-like timescales overestimates memory errors at short timescales by an order of magnitude Detuning the field - Shuttling ions between regions of larger traps could improve scalability [6] - During shuttling, an ion is likely to travel through areas of less well- controlled magnetic field strength - We consider memory errors incurred by detuning the field from the clock field without adjusting the microwave frequency - Qubit remains robust to memory errors over typical shuttling times at large detunings - ε memory < 10 -3 maintained for 20 ms even at 25 mG detuning Dynamical decoupling - Including a simple CPMG dynamical decoupling sequence of repeated X gates during the delay periods, at a rate of 1 per 100 ms, reduces ε memory to < 10 -3 for longer than 1 s - Memory performance at computationally relevant timescales is limited by microwave local oscillator noise (see below) Sources of decoherence RBM sequences and BB1 gates - RBM involves m periods of dephasing τ instead of a single one, and interleaving the delays with gates randomly sampled from the single-qubit Clifford group - Memory error is enhanced and adds incoherently - Error per delay can be calculated by comparing the fidelity of interleaved sequences vs sequences without the interleaved delays - Each Clifford is composed of +-X π/2 , +-Y π/2 rotations - Error per Clifford is very sensitive to drifts in microwave power - could limit accuracy of the RBM experiment - Decomposing each π/2 rotation into a BB1 composite pulse [7] makes them more robust to these pulse area errors - Memory data is well-approximated by a fit to a combination of white and 1/f frequency noise - CPMG sequence suppresses the 1/f component (possible candidate: varying AC Zeeman shifts due to movement of the ion in the trapping field) - Noise on each component of microwave chain measured by duplicating chain and making any noise upstream of the component in question common mode (at dashed lines) We achieve a coherence time of 1 minute in a 43 Ca + qubit, but the relevant timescale for fault-tolerant quantum computing is the time for which the memory error remains < 10 -2 – 10 -4 . Information regarding these initial stages of decoherence is usually provided by extrapolation of models only verified at long timescales. Here we use randomised benchmarking techniques to directly measure errors at the 10 -6 level and to characterise the underlying noise spectrum. We find ε memory < 10 -4 up to ~ 100 ms (far longer than predicted from the T2* time). Using a simple CPMG dynamical decoupling sequence, we observe ε memory < 10 -3 for storage times greater than 1 s. At this level, we conclude that our memory performance is primarily limited by microwave local oscillator noise. 10 -3 10 -2 10 -1 10 0 10 1 Delay τ (s) 10 -7 10 -6 10 -5 10 -4 10 -3 10 -2 10 -1 SPAM-corrected memory error Clock field RBM data Fit to white and pink frequency noise B field 10 mG detuned B field 25 mG detuned B field 50 mG detuned Clock field with dynamical decoupling Inferred error due to oscillator noise - Direct measurement of noise on Rb reference oscillator agrees closely with white noise component of fit to RBM data SPAM Single-qubit gate Two-qubit gate Error ~10 -3 ~10 -6 ~10 -3 ref [2], [3] 10 -3 10 -2 10 -1 10 0 10 1 10 2 Delay τ (s) 10 -7 10 -6 10 -5 10 -4 10 -3 10 -2 10 -1 SPAM-corrected memory error RBM data Fit to white and 1/f frequency noise Ramsey data Exponential fit to Ramsey delay > 1 s - 43 Ca + hyperfine ground state clock qubit at 146 G - Initialisation: optical pumping and microwave transfer pulses ~ 3.2 GHz - Readout: "shelve" 3D 5/2 via 4P 3/2 , + fluorescence detection [5] P. J. J. O'Malley et. al., Phys. Rev. Applied 3, 044009 (2015) [6] D. Kielpinski et. al., Nature 417, 709711 (2002) [7] S. Wimperis, J. Mag. Res. 109, 221231 (1994)

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Page 1: A. C. Hughes, J. F. Goodwin, M. A. Sepiol, J. E. Tarlton ... · Single-qubit memory error metrology at short timescales Ion Trap Quantum Computing Group - Department of Physics, University

Single-qubit memory error metrologyat short timescales

Ion Trap Quantum Computing Group - Department of Physics, University of Oxford

[1] D. T. C. Allcock et. al., App. Phys. Lett. 102, 044103 (2012) [2] T. P. Harty et. al., Phys. Rev. Lett. 113, 20501 (2014) [3] T. P. Harty et. al., Phys. Rev. Lett. 117, 140501 (2016) [4] E. Magesan et. al., Phys. Rev. Lett. 109, 080505 (2012)

[email protected] [email protected] Department of Physics, Clarendon Laboratory,Parks Road, Oxford, OX1 3PU, United Kingdom

www.physics.ox.ac.uk/users/iontrap

- Surface (chip) rf trap featuring integrated microwave circuitry [1]

- Gates driven by near-field microwaves

- Heating rate 1.4(3) quanta/ms, axial secular

frequency 2π × 500 kHz

"Atomic clock" qubit

A. C. Hughes, J. F. Goodwin, M. A. Sepiol, J. E. Tarlton, C. J. Ballance, D. P. Nadlinger, T. P. Harty, A. M. Steane, D. M. Lucas

397 Doppler Ca oven

866

397 σ+

854PI, 850σ+

393 σ+

RFDC

DCgate μ.w.

RF

DCstate prep. μ.w.

groundμ.w. + DCDC controlRF + μ.w. + DC

850 π

B0

4S1/2

3D3/2

3D5/2

4P1/2

4P3/2

854nm

850nm

866nm

397nm

393nm

mF=4

mF=3

mF=-3

mF=-4

mF=1

F=0

3.2 GHz

4S1/2, F=4

4S1/2, F=3

m

B0 = 146 G

ψ C1 C3C2τ τ Cm+1

example of Cliffordgate decomposition

C1 C3C2 Cm+1

C1 C3C2τ τ

Yπ/2

ΦπΦπ 3Φ2πXπ/2

Cm+1

C4 m τ+

Φπ3Φ2πYπ/2

Xπ/2 Yπ/2Xπ/2

Φπ~ ~ ~

BB1 sequencedecompositionsΦ=Φ+ 180°~

ψ

ψ x8

x8

SRS Rb frequency reference

Rohde &Schwarzsignal

generator

DDSfrequencyoctupler

Trap Measuring short-timescale decoherence

- "Memory error" over a time delay is often measured using Ramsey experiments to extract a T2* time

- We measure T2* ~ 1 minute

π2

π2

delay

0° φ°φ + 180°

stateprep.

- At fault-tolerant threshold (~10-2 – 10-4), εmemory ~ εSPAM so measurement is inefficient

- Information about computationally relevant

timescales is usually extrapolated from longer times

- Instead, we use randomised benchmarking [4], [5]

to directly measure very small errors (~10-6)

Randomised benchmarking (RBM) results

- Ramsey experiments struggle when εmemory ~ εSPAM (10-3)

- RBM allows probing of much smaller errors

- We measure εmemory< 10-4 up to ~100 ms – at least 3 orders of magnitude

longer than gate or measurement times

- Extrapolating from data at T2*-like timescales overestimates

memory errors at short timescales by an order of magnitude

Detuning the field- Shuttling ions between regions of larger traps could improve scalability [6]

- During shuttling, an ion is likely to

travel through areas of less well- controlled magnetic field strength

- We consider memory errors incurred

by detuning the field from the clock field without adjusting the microwave frequency

- Qubit remains robust to memory

errors over typical shuttling times at large detunings

- εmemory < 10-3 maintained for 20 ms

even at 25 mG detuning

Dynamical decoupling- Including a simple CPMG dynamical decoupling sequence of repeated X gates during the delay periods, at a rate of

1 per 100 ms, reduces εmemory to < 10-3 for longer than 1 s

- Memory performance at computationally relevant timescales is limited by microwave local oscillator

noise (see below)

Sources of decoherenceRBM sequences and BB1 gates- RBM involves m periods of dephasing τ instead of a single one, and

interleaving the delays with gates randomly sampled from the single-qubit Clifford group

- Memory error is enhanced and adds incoherently

- Error per delay can be calculated by comparing the fidelity of interleaved

sequences vs sequences without the interleaved delays

- Each Clifford is composed of +-Xπ/2, +-Yπ/2 rotations

- Error per Clifford is very

sensitive to drifts in microwave power - could limit accuracy

of the RBM experiment

- Decomposing each π/2 rotation

into a BB1 composite pulse [7] makes them more robust to these pulse area errors

- Memory data is well-approximated by a fit to a combination of white and 1/f frequency noise

- CPMG sequence suppresses the 1/f component

(possible candidate: varying AC Zeeman shifts due to movement of the ion in the trapping field)

- Noise on each component of microwave chain

measured by duplicating chain and making any noise upstream of the component in question common mode (at dashed lines)

We achieve a coherence time of 1 minute in a 43Ca+ qubit, but the relevant timescale for fault-tolerant quantum computing is the time for which the memory error remains < 10-2 – 10-4. Information regarding these initial stages of decoherence is usually provided by extrapolation of models only verified at long timescales. Here we use randomised benchmarking techniques to directly measure errors at the 10-6 level and to characterise the underlying noise spectrum. We find εmemory < 10-4 up to ~ 100 ms (far longer than predicted from the T2* time). Using a simple CPMG dynamical decoupling sequence, we observe εmemory < 10-3 for storage times greater than 1 s. At this level, we conclude that our memory performance is primarily limited by microwave local oscillator noise.

10-3 10-2 10-1 100 101

Delay τ (s)

10-7

10-6

10-5

10-4

10-3

10-2

10-1

SPA

M-c

orre

cted

mem

ory

erro

r

Clock field RBM dataFit to white and pink frequency noiseB field 10 mG detunedB field 25 mG detunedB field 50 mG detunedClock field with dynamical decouplingInferred error due to oscillator noise

- Direct measurement of noise on Rb reference oscillator agrees closely with white noise component of fit to RBM data

SPAM Single-qubit gate Two-qubit gate

Error ~10-3 ~10-6 ~10-3

ref [2], [3]

10-3 10-2 10-1 100 101 102

Delay τ (s)

10-7

10-6

10-5

10-4

10-3

10-2

10-1

SPA

M-c

orr

ecte

d m

emor

y er

ror

RBM dataFit to white and 1/f frequency noiseRamsey dataExponential fit to Ramsey delay > 1 s

- 43Ca + hyperfine ground state clock qubit at 146 G

- Initialisation: optical pumping and microwave transfer pulses ~ 3.2 GHz

- Readout: "shelve" → 3D5/2 via 4P3/2, + fluorescence detection

[5] P. J. J. O'Malley et. al., Phys. Rev. Applied 3, 044009 (2015) [6] D. Kielpinski et. al., Nature 417, 709711 (2002)[7] S. Wimperis, J. Mag. Res. 109, 221231 (1994)